Livestock keeping, mosquitoes and community viewpoints: a mixed methods assessment of relationships between livestock management, malaria vector biting risk and community perspectives in rural Tanzania

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Mwalugelo, Winifrida P. Mponzi, Letus L. Muyaga, Herieth H. Mahenge, and 6 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3920538/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 17 Jul, 2024 Read the published version in Malaria Journal → Version 1 posted 7 You are reading this latest preprint version Abstract Background Livestock keeping is one of the potential factors related to malaria transmission. To date, the impact of livestock keeping on malaria transmission remains inconclusive, as some studies suggest a zooprophylactic effect while others indicate a zoopotentiation effect. This study assessed the impact of livestock management on malaria transmission risks in rural Tanzania. Additionally, the study explored the knowledge and perceptions of residents about the relationships between livestock keeping and malaria transmission risks in a selected village. Methods In a longitudinal entomological study in Minepa village, South Eastern Tanzania, 40 households were randomly selected (20 with livestock, 20 without). Weekly mosquito collection was performed from January to April 2023. Indoor and outdoor collections used CDC-Light traps, Prokopack aspirators, human-baited double-net traps, and resting buckets. A subsample of mosquitoes was analysed using PCR and ELISA for mosquito species identification and blood meal detection. Livestock's impact on mosquito density was assessed using negative binomial GLMMs. Additionally, in-depth interviews explored community knowledge and perceptions of the relationship between livestock keeping and malaria transmission risks. Results A total of 48,677 female Anopheles mosquitoes were collected. Out of these, 89% were An. gambiae s.l. while other species were An. funestus, An. pharoensis , An. coustani , and An. squamosus . The findings revealed a statistically significant increase in the overall number of An. gambiae s.,l. outdoors (RR = 1.181, 95%CI: 1.050–1.862, p = 0.043). Also, there was an increase of the mean number of An. funestus mosquitoes collected in households with livestock indoors (RR = 2.866, 95%CI: 1.471–5.582, p = 0.002) and outdoors (RR = 1.579,95%CI: 1.080–2.865, p = 0.023). The human blood index in An. gambiae s.l. mosquitoes from houses with livestock was less than those without livestock (OR = 0.149, 95%CI: 0.110–0.178, p < 0.001). The majority of participants in the in-depth interviews reported a perceived high density of mosquitoes in houses with livestock compared to houses without livestock. Conclusion Despite the potential for zooprophylaxis, this study indicates a higher malaria transmission risk in livestock-keeping communities. It is crucial to prioritise and implement targeted interventions to control vector populations within these communities. Furthermore, it is important to enhance community education and awareness regarding covariates such as livestock that influence malaria transmission. Livestock management Zooprophylaxis Zoopotentiation Mosquito biting risk Blood meal Malaria transmission Community perspective Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Background In recent years, vector control tools such as Insecticide-treated Nets (ITNs) and Indoor Residual Sprays (IRS) have significantly contributed to the reduction of malaria transmission worldwide [ 1 – 4 ]. However, between 2015 and 2021 malaria control has stalled due to emergence of insecticide resistance, mosquitoes’ behavioural avoidance of insecticides and some malaria vector species’ inherent behavioural plasticity amongst malaria vectors that keeps them out of contact with indoor-based mosquito control methods [ 5 – 8 ]. Mosquito vectors are known to obtain blood from human and non-human hosts, such as livestock [ 9 , 10 ]. Female mosquitoes identify their hosts by detecting host odours in the environment and then following these cues upwind from long or short ranges [ 11 ]. Blood meal is necessary for mosquitoes to develop their eggs [ 11 ]. Although there are varying blood feeding behaviours among mosquito species, some Anopheles species prefer to exclusively feed on humans, while other species prefer to feed on both animals and human beings [ 9 ]. Usually, the use of ITNs and IRS targets female mosquitoes that bite humans (anthropophilic) and that feed and rest indoor (endophagic and endophilic), but some malaria vectors exhibit different feeding and resting behaviours for there are some mosquitoes that bite at dusk and dawn, rest outdoors and obtain alternative blood meal from other vertebrates. Exclusive human blood indices (proportion of mosquito samples which are positive for human blood) are extremely unusual in the majority of malaria vectors, indicating that some female mosquitoes prefer to feed on other vertebrates’ blood and most commonly cattle [ 9 , 10 , 12 ]. This is because cattle are often more easily accessible such that many female mosquito species' host preferences show a high degree of plasticity, primarily as a result of environmental factors such when preferred host species vanish or become inaccessible [ 9 ]. In some settings, non-human feeding and outdoor resting behaviours of Anopheles mosquitoes are common [ 12 ]. The mosquito species which feed partially on human and livestock blood, enhance mosquitoes’ fitness, thus contributing to the persistence of malaria transmissions [ 13 , 14 ]. Tanzania is one of the countries with the largest number of livestock in sub-Saharan Africa, comprising approximately 33.8 million cattle (98% of which are indigenous breeds), 24.5 million goats, 8.5 million sheep, 3.2 million pigs, and 87.7 million chickens [ 15 ]. Livestock keeping is one of the economic activities that plays an important role in poverty alleviation, food security enhancement, employment creation, and environmental conservation, particularly, in village settings [ 16 ]. Since livestock are not infected with Plasmodium parasites, for a long period of time, it has been proposed to establish interventions to control malaria by using the available livestock in societies by diverting malaria vector biting from humans, an intervention known as zooprophylaxis [ 17 , 18 ]. In the process of assessing the effectiveness of livestock-based malaria interventions, there are still contradictions in the number of studies that have been conducted in different parts of the world. Some studies support a zooprophylaxis approach, while others go against it. Livestock husbandry is one of the most important economic activities in rural areas of Sub-Saharan Africa [ 16 ]. However, some evidence suggests that domestic livestock production at the household level may increase the risk of malaria transmission [ 19 , 20 ]. It has been hypothesised that the presence of livestock, particularly cattle, provides alternative sources of blood meal for mosquitoes, thereby increasing mosquito density and their survival rate [ 17 ]. Some evidence shows that cattle contribute to higher mosquito density and malaria transmission [ 21 , 22 ]. Furthermore, cattle keeping is responsible for the creation of suitable breeding habitats for malaria vectors through the creation of drinking water sites and hoof prints, especially during rainy seasons, resulting in a high mosquito population in communities with cattle [ 23 , 24 ]. Another study in Burkina Faso [ 25 ] observed a positive correlation between donkeys and An. gambiae abundance inside houses. This correlation raises an important question about the potential role of donkeys in attracting mosquitoes into human dwellings. These relationships could be utilised to develop effective strategies for malaria control. Other studies, however, have provided contradictory results, indicating that keeping livestock may reduce the risk of malaria transmission. Mayagaya et al. , [ 26 ], found that presence of cattle at household level significantly altered the species composition, feeding and resting behaviours of mosquitoes, thereby reducing the risks of malaria transmission in rural Tanzania. In that study, households with cattle had lower human blood index and sporozoite rate than those without cattle. Furthermore, additional studies have also found that keeping cattle can divert mosquitoes that would otherwise feed on humans and the increased blood feeding on cattle reduces the human-mosquito contacts, hence reducing risk of malaria transmission [ 23 , 27 ]. Overall, studies have shown contrasting perspectives on the relationship between livestock keeping and malaria transmission risks. Whereas studies suggest that livestock keeping poses risk to malaria transmission (zoopotentiation effect), others suggest that keeping livestock acts as a protective factor against malaria transmission (zooprophylaxis). It is clear that the impact of livestock on malaria transmission, distribution, and densities of potential malaria vectors is a complex issue that needs more investigation in different settings. These two contrasting findings formed a basis for this study to assess the impact of livestock management and keeping practices on malaria transmission risks in a selected village in South-eastern Tanzania. Moreover, in order to achieve significant achievements in the fight against malaria and other mosquito-borne diseases, community participation is an important factor to be taken into consideration [ 28 , 29 ]. There are a limited number of studies on the assessment of the knowledge and perception of community members about the relationship between livestock keeping and malaria transmission. For example, Nguyen-Tien et al [ 30 ], conducted a study to assess the knowledge and practices on the prevention of mosquito-borne diseases (MBDs) in livestock-keeping and non-livestock-keeping communities. The results showed that people in livestock-keeping communities had less knowledge of practices and prevention against MBDs than non-livestock-keeping communities. However, even the study did not assess the knowledge and perception of community members on the relationship between livestock keeping and malaria transmission. Despite assessing the effect of livestock on the prevalence of malaria, Hasyim et al. [ 31 ] did not capture the attitude and perception of community members about how they know and perceive the problem. Whether livestock have zooprophylactic or zoopotentiation effect, the community must be aware of the situation, and a proper understanding of the situation will encourage better malaria control strategies among the community members. In south-eastern Tanzania, there are a limited number of studies focusing on the impact of livestock on the distribution and densities of malaria vectors. Therefore, this study investigated the impact of livestock management on malaria transmission risks. It further explored the knowledge and perception of community members towards the relationship between livestock keeping and malaria transmission. Methods Study area This study was conducted in Minepa village (8.21°S to 8.29°S, 36.67°E to 36.71°E), Ulanga district, which is found in Kilombero Valley in south-eastern Tanzania (Fig. 1). The annual rainfall and temperature vary from 1300 to 3600 mm and 15 to 35°C, respectively [ 32 ]. Most of the residents are small-scale farmers and engage in livestock husbandry, while others engage in small businesses [ 33 , 34 ]. Common livestock that are kept include cattle, goats, sheep, dogs, pigs, and chickens. The principal malaria vectors are Anopheles arabiensis and Anopheles funestus , which contribute to more than 80% of contemporary malaria transmission [ 35 ]. Other Anopheles mosquitoes are found in this area, such as An. coustani, An. pharoensis , An. squamosus , An. ziemanni , and An. wellcomei , as well as other culicine mosquito species such as Mansonia , Culex , and Aedes [ 36 ]. The main malaria control intervention in the area is LLINs [ 1 ]. Figure 1 A map showing the household distribution in the study area Selection of households A total of 40 households were randomly selected; out of which 20 kept livestock (Fig. 2) and the other 20 had no livestock. Selection was conducted in December 2022 for 3 days with the help of village leaders and study volunteers. All selected houses were classified according to their housing characteristics such as door, window, eave space, floor and roof status. Also, details on number of household occupants and distance from household to livestock sheds were observed. All livestock present in selected households were observed and recorded. The common livestock observed were cattle, sheep, goats, dogs, pigs and poultry (chicken and ducks). In some occasions where livestock were kept at different distances, an average distance was calculated and recorded as described by previous study [ 37 ]. The chickens and ducks were observed to be kept mostly indoors and sometimes outdoors. Figure 2 A pictorial representation of the common types of livestock that are kept in the study area village (b and c) and sample houses that are present in a study area (a and d). Mosquito collection Each household was visited once per week from January to April 2023, for a total of 16 nights of mosquito collection per house. Mosquito collection was done indoors and outdoors. Indoor mosquito collection of host-seeking mosquitoes was done using Centers for Disease Control and Prevention (CDC)-Light traps, model 512, John W. Hock Company, Gainesville, FL, USA [ 38 ] as shown in Fig. 3(d). Resting mosquitoes were collected using a Prokopack aspirator (Fig. 3b), model 1419, John W. Hock Company, Gainesville, FL, USA [ 39 , 40 ]. CDC-Light traps were set from 18:00 to 06:00 hours, approximately 1.5 metres from the ground adjacent to the bed where the household occupant slept. To allow mosquito solicitation, the CDC-Light traps were connected to 12 V batteries. Aspirations were done using Prokopack aspirators, which were connected to 12 V batteries. On some occasions, aspirations were not possible to be conducted indoors because households’ owners were not available to grant permission to do aspirations indoors; they left their houses very early in the morning for agricultural activities. Indoor aspirations were done from 06:00 hours to around 08:00. The period of aspiration per household lasted for up to 10 minutes, depending on the size of the rooms and houses where aspiration was done. Outdoor collection of hosts seeking mosquitoes was done by well-trained volunteers using human-baited double net traps (Fig. 3c) and traditionally-made syphons [ 41 ]. Outdoor resting mosquitoes were collected using resting buckets. The double net traps were set outside each selected house from 18:00 to 06:00 hours by two volunteers, one from 18:00 hours to midnight and the other from midnight to 06:00 hours. All mosquitoes collected from double-net traps were kept in paper cups covered with a small cloth with small holes. The double net traps were used as an alternative to the human landing catch (HLC) because they protect volunteers from mosquito bites, which may accelerate malaria transmission [ 42 ]. Resting buckets (20-litre volume) covered with black cloth inside were placed 5 to 10 metres away from selected houses from 18:00 hours to 06:00 hours to allow mosquitoes to rest after night-time activities. In the morning, from 06:00 hours to around 08:00 hours, resting mosquitoes were collected from resting buckets using a prokopack aspirator. One resting bucket was placed in each selected house during the night of collection, but in houses with livestock, one additional bucket was placed around the livestock sheds (Fig. 3, a). The resting buckets were laid on their sides and left open during the night of collection. Figure 3 Mosquito traps which were used for mosquito collections; (a) a person collecting resting mosquitoes from resting bucket using prokopack aspirator near cattle shed (b) a volunteer collecting resting mosquitoes indoor using a prokopack aspirator (c) a double net trap (d) a CDC-light trap. Mosquito identification All mosquitoes collected were killed using petroleum fumes. Female Anopheles mosquitoes collected were morphologically identified by taxa and sex levels using key to the females of Afrotropical Anopheles mosquitoes [ 43 ] then classified according to their abdominal status as unfed, partly fed, fed, and gravid. Anopheles mosquitoes were kept individually or pooled in 1.5 ml Eppendorf containing silica gel desiccant. Every tube was assigned a unique identification number and placed inside storage boxes that included details such as the village name, house number, trap location, species name, and date. These samples were prepared for further laboratory analysis. A sub-sample of Anopheles gambiae s.l. and An. funestus group were submitted to the Ifakara Health Institute (IHI) laboratory for polymerase chain reaction (PCR) identification of sibling species using a protocol developed by Scott et al [ 44 ] and Koekemoer et al [ 45 ], respectively. Blood meal identification Fed mosquitoes’ abdomens were removed using forceps and blood antigen (protein) was tested using five different blood sources namely; human, bovine, goat, dog, pig, and chicken using ELISA technique in the laboratory to identify blood meal sources following the procedure described by Chow et al [ 46 ]. Qualitative data collection In-depth interviews A qualitative assessment was conducted in the village where mosquito collections were conducted. This assessment was done by carrying out in-depth interviews (IDIs) with the household heads where mosquito collections were conducted to assess the knowledge and perception of the community members on the relationship that exists between livestock management practices and malaria transmission. An in-depth interview guide was prepared to capture the following areas of interest: (i) mosquito control and malaria transmission; (ii) livestock keeping practices; (iii) types of pesticides used to protect the animals; (iv) distance between houses and livestock sheds; (v) relationship between malaria transmission and livestock keeping; (vi) impact of livestock keeping on malaria transmission. These IDIs included both households with and without livestock and included male and female participants. Every interview session lasted for 25 to 50 minutes. All sessions were done in local or village primary school buildings, and on some occasions, the sessions were done within participants’ compounds. Statistical analysis Quantitative data analysis Quantitative data analysis was done using R statistical software version 4.2.1 [ 47 ]. Generalized linear mixed models (GLMM) built in template model builder (TMB) following negative binomial distribution were used to model the impact of presence and number of livestock on malaria vector density in glmmTMB package [ 48 , 49 ]. In these models, indoor and outdoor mosquito counts were used as response variables whilst presence of different livestock, number of livestock, distance between household and livestock pen, number of household occupants and house characteristics were used as fixed variables. Date of collection and household ID were added as random effect variables to take into account sampling bias and unexplained variation by fixed effect variables. In models involving mosquitoes collected outdoors, the number of mosquitoes collected using resting buckets near livestock pens (NL) were not included. Based on Akaike information criterion (AIC), other variables were not selected for they showed less contribution in the models. All graphs were plotted in ggplot2 package [ 50 ]. Blood indices for different hosts (human, bovine, goat, dog, and chicken) were calculated and compared for mosquitoes collected from houses with and without livestock. The hosts blood indices were obtained using the following formula: $$Hos{t}^{{\prime }}s blood index= \frac{Total mosquitoes with specific host{\prime }s blood meal}{Total mosquitoes examined}*100$$ Also, a multinomial logistic regression model was used to assess the influence of livestock and location on mosquitos’ ability to get human blood. In this model, a blood meal with three levels (human, other hosts, and mixed blood meal) was used as a response variable, while a household’s livestock status and location (indoors or outdoors) were used as predictor variables. This model was implemented using the multinom() function from the nnet package [ 51 ]. Qualitative data analysis Audio data from IDIs were transcribed and then translated from Swahili to English and notes taken during the discussion were also included in the written transcript. Before analysis, the data was checked to assess if it was well translated and documented. The data were analysed using the computer software package for qualitative analysis (Nvivo software version 13) [ 52 ] through thematic analysis. The codebook was developed using inductive coding methods. The main themes developed during the analysis were: (i) knowledge about mosquito and diseases they transmit (ii) Knowledge on mosquito biting behaviour (iii) Livestock keeping practices (iv) Types of pesticides used to treated animal (v) Relationship between malaria transmission and livestock keeping and (vi) Impact of livestock keeping on malaria transmission. Results Summary of All Mosquitoes Collected A total of 155,752 female mosquitoes were collected. Out of these, 86,491 (55.5%) were collected indoors and 69,261 (44.5%) were collected outdoors. Among mosquito traps, the CDC-Light trap was the most efficient, collecting 76,344 (49%) mosquitoes, followed by the double net trap, which collected 64,656 (41.6%). Resting buckets near the livestock pen collected the least number of mosquitoes (1,733) among the traps. As indicated in Table 1 , 31.3% (48,676) were anophelines, and the remaining were culicine mosquitoes' species. Among the anopheline mosquitoes, An. gambiae sensu lato (s.l.) was the most abundant, comprising 43,105 mosquitoes (27.7% of all female mosquitoes collected); others were An. squamosus (1972), An. coustani (1,705), An. pharoensis (1,686), and An. funestus (209). Near the livestock pens, An. gambiae s.l was the most abundant among the Anopheles mosquitoes (95% of all Anopheles mosquitoes, n = 981), followed by An. funestus (2%, n = 33). There were no An. squamosus resting around the animal pens. Culex species was the most abundant among culicine mosquitoes, comprising 105,093 mosquitoes (67.5% of all female mosquitoes collected); others were Mansonia 1,758 (1.1%), Aedes 177 (0.1%), and Coquilletidia species 47 (0.03%). This information is presented in Table 1 . Table 1 Summary of total number of mosquitoes collected using different traps Mosquito species CDC-LT DN-Trap Prokopack Resting bucket-NH Resting Bucket-NL Total (%) An. gambiae s.l 22674 17143 1079 1228 981 43,105 (27.7) An. funestus 142 85 18 31 33 309 (0.2) An. pharoensis 613 1060 11 1 1 1686 (1.1) An. coustani 1045 637 7 5 11 1,705 (1.1) An. squamosus 1242 625 4 0 1 1,872 (1.2) Total anophelines 25,716 19550 1,119 1,265 1,027 48,677 (31.3) Culex spp. 49871 43966 9008 1554 694 105,093 (67.5) Mansonia spp. 658 1033 16 40 11 1,758 (1.1) Aedes spp. 91 76 4 5 1 177 (0.1) Coquilletidia spp. 9 31 0 6 1 47 (0.03) Total culicines 50,629 45,106 9,028 1,605 707 107,075 (68.7) Overall 76,344 64,656 10,147 2,870 1,734 155,752 (100) CDC-LT = Centre for Disease Control and Prevention-Light trap, DN = Double net, NH = Near Houses, NL = Near Livestock pens Molecular identification of mosquito species A total of 4,068 mosquitoes were submitted to the laboratory for mosquito identification of sibling species. Among all Anopheles gambiae s.l. examined for sibling species identification, 98% (n = 3,991) of these samples were successfully amplified. Almost all verified mosquitoes were Anopheles arabiensis , except for one sample that was verified to be Anopheles quadriannulatus collected from a house with livestock. A total of 81 An. funestus mosquitoes were analysed for sibling species composition, out of which 87% (n = 67) were amplified. Out of these, 43 were identified as An. rivulorum , 21 were An. funestus sensu stricto (s.s.), and 3 were An. leesoni. Common livestock found in the study area During this study, most of the livestock corralled in the selected households were poultry (43%, n = 267), followed by medium-sized animals (37.2%, n = 231) which include sheep, goats, dogs, and pigs, small animals such as cats (1.3%, n = 8) and large-sized animals, specifically cattle (18.5%, n = 115). This is shown in Table 2 . Small animals were not very common. Table 2 Number of livestock present in selected households understudy Category Animals’ types Total (%) Large size Cattle 115 (18.5) Medium size Sheep 65 (10.5) Goats 78 (12.6) Dogs 30 (4.8) Pigs 58 (9.3) Small size Cats 8 (1.3) Poultry Chicken 267 (43) Total 621 Abundance of Host-Seeking Mosquitoes in Houses with and Without Livestock The mean number of An. gambiae s.l. host-seeking mosquitoes collected by CDC-light traps indoors in houses with livestock was 38.9 ± 2.32 SE, while in houses without livestock, the mean catches were 35.3 ± 2.54 SE (Fig. 4). The mean catches for indoor collection of An. funestus host-seeking mosquitoes in houses with livestock were 0.354 ± 0.048 SE, while in houses with no livestock, the mean catch was 0.144 ± 0.029 SE (Fig. 4). For outdoor collection, the mean number of An. gambiae collected in houses with livestock was 24.6 ± 1.73 SE, while in houses without livestock, the mean catch was 31.9 ± 2.33 SE (Fig. 4). The outdoor mean catch of An. funestus in houses with livestock was 0.228 ± 0.038 SE, while for houses without livestock, the mean catch was 0.129 ± 0.028 SE (Fig. 4). Figure 4 Density of host-seeking malaria vectors in houses with and without livestock There was a slight increase in the mean number of An. gambiae s.l mosquitoes in houses with livestock from January to April, but it was somehow constant in houses without livestock. However, for the other Anopheles species, an increase in mosquito density was observed in houses with and without livestock between January and April (Fig. 5). Figure 5 Trend of mosquito density in houses with and without livestock in different months during the study period. Abundance of Resting Anopheles Mosquitoes in Houses with and Without Livestock More resting mosquitoes were collected indoors and outdoors from houses with livestock compared to houses with no livestock. The mean number of An. gambiae s.l mosquitoes collected indoors from houses with livestock was 2.50 ± 0.416 SE (Fig. 6), while in houses without livestock, the mean number of An. gambiae s.l. mosquitoes were 1.11 ± 0.243 SE. For outdoor collections, the mean number of An. gambiae s.l. mosquitoes collected from houses with livestock was 2.87 ± 0.355 SE, while in houses without livestock, the mean number of An. gambiae s.l. mosquitoes were 1.06 ± 0.194 SE (Fig. 6). The mean numbers of other resting malaria vectors, such as An. funestus, An. coustani, An. pharoensis, and An. squamosus were marginally less than zero indoors and outdoors. Thus, An. gambiae s.l. mosquitoes were the most abundant malaria vectors indoors and outdoors. As it is shown in Fig. 6, the indoor and outdoor collections of An. gambiae s.l. and An. funestus shows that there were more mosquitoes resting in households with livestock than in houses with no livestock. Figure 6 Density of resting malaria vectors in houses with and without livestock Impact of Livestock on Anopheles gambiae s.l density The indoor density of An. gambiae s.l. increased significantly in households with 11–15 cows (RR = 2.5300, 95% CI: 1.225–5.244, p = 0.012) , more than 5 goats (RR = 2.656, 95% CI: 1.066–6.619, p = 0.001) , 3–4 dogs (RR = 2.086, 95% CI: 1.268–3.432, p = 0.004) , 11–20 chickens (RR = 2.18, 95% CI: 1.250–3.803, p = 0.006) , and more than 20 chickens (RR = 1.9214, 95% CI: 1.0344–3.5689, p = 0.039) (Table 2 ). A decrease in An. gambiae s.l catches was revealed to be associated with the presence of 1 to 3 pigs (RR = 0.3444, 95% CI: 0.1909–0.9886, p = 0.047) and more than 10 pigs (RR = 0.3344, 95% CI: 0.1164–0.9495, p = 0.040) (Table 2 ). The outdoor density of An. gambiae s.l. was 2 times higher in houses with 11 to 15 cows than in houses with no cows (RR = 2.059, 95% CI: 1.056–4.015, p = 0.034). The presence of more than 5 sheep increased the number of An. gambiae s.l. mosquitoes approximately 2 times more than households with no sheep (RR = 1.840, 95% CI: 1.091–3.100, p = 0.022). Likewise, a significant increase in An. gambiae s.l. density was observed when there were more than 2 dogs; the mosquito density increased almost 2 times more indoors (RR = 2.086,95%CI: 1.268–3.432, p = 0.004 ) and outdoors (RR = 1.610, 95% CI: 1.017– 2.550, p = 0.042) than households with no dogs. Thus, in outdoor collections, only cattle, sheep, and dogs were significantly associated with the increase in the number of An. gambiae s.l. mosquitoes, but not goats, pigs, or chickens, which had an impact on indoor density (Table 2 ). Table 3 Statistical significance of the impact of the number of livestock on the number of An. gambiae s.l. mosquitoes in houses with and without livestock indoors and outdoors Indoor Outdoor Livestock type Number of livestock RR CI p RR CI p Cattle No cattle 1 1 1–5 1.377 0.640–2.962 0.414 0.523 0.274–1.001 1.050 6–10 1.296 0.756–2.219 0.346 1.283 0.800–2.059 0.301 11–15 2.535 1.225–5.244 0.012 2.059 1.056–4.015 0.034 Sheep No sheep 1 1 1–5 2.548 0.608–0.687 0.201 3.091 0.888–10.758 0.076 Above 5 2.508 1.424–4.415 0.001 1.840 1.091- 3.100 0.022 Goat No goat 1 1 1–5 1.414 0.659–3.031 0.374 1.149 0.615–2.146 0.663 Above 5 2.656 1.066–6.619 0.036 1.554 0.646–3.741 0.325 Pig No pig 1 1 1–5 0.434 0.191–0.989 0.047 0.520 0.267–1.014 0.055 6–10 1.612 0.510–5.090 0.416 0.5314 0.178–1.587 0.257 Above 10 0.332 0.116–0.950 0.040 0.5518 0.196–1.556 0.261 Dog No dog 1 1 1–2 1.420 0.613–3.286 0.413 0.791 0.368–1.698 0.547 3–4 2.086 1.268–3.432 0.004 1.610 1.017–2.550 0.042 Chicken No chicken 1 1 1–10 1.018 0.355–2.923 0.974 0.564 0.232–1.373 0.205 11–20 2.180 1.250–3.803 0.006 0.931 0.561–1.546 0.783 Above 20 1.921 1.034–3.569 0.039 1.632 0.970–2.747 0.065 Rate ratio, CI = 95% confidence interval, p = p-value, Ref = Reference category Impact of livestock on Anopheles funestus density The indoor density of An. funestus mosquitoes increased significantly when there were 1 to 5 cows (RR = 3.438, 95% CI: 1.3418–8.8098, p = 0.010) and 11 to 15 cows (RR = 2.257, 95% CI: 1.623–11.590, p = 0.004) (Table 3 ). Likewise, the presence of more than 10 chickens, for instance, 11 to 15 (RR = 6.003, 95% CI: 2.227–16.180, p < 0.001) and more than 20 chickens (RR = 3.055, 95% CI: 1.188–7.555, p = 0.021) , increased indoor An. funestus densities (Table 3 ). The number of sheep, goats, and pigs did not have a significant impact on the number of An. funestus collected indoors ( p > 0.05). The outdoor collection number of An. funestus mosquitoes increased when there were 11 to 15 cows (RR = 3.279, 95% CI: 1.404–7.660, p = 0.006) , more than 5 sheep (RR = 3.001, 95% CI: 1.582–5.692, p = 0.002) , 3 to 4 dogs (RR = 2.277, 95% CI: 1.273–4.073, p = 0.006) , and above 20 chickens (RR = 2.541, 95% CI: 1.378–4.687, p = 0.003). The number of goats and pigs did not significantly influence the number of An. funestus mosquitoes outdoors (p > 0.05) (Table 3 ). Table 4 Statistical significance of the impact of the number of livestock on the number of An. funestus mosquitoes in houses with and without livestock indoors and outdoors Indoor Outdoor Livestock composition Number of livestock RR CI p RR CI p Cattle No cattle 1 1 1–5 3.438 1.342–8.810 0.010 1.498 0.651–3.446 0.342 6–10 1.201 0.526–2.746 0.664 1.420 0.716–2.795 0.310 11–15 2.257 1.623–11.590 0.004 3.279 1.404–7.660 0.006 Sheep No sheep 1 1 1–5 4.650 0.664–32.555 0.122 2.742 0.705–10.656 0.145 Above 5 2.490 0.939–5.637 0.081 3.001 1.582–5.692 0.002 Goat No goat 1 1 1–5 1.562 0.487–5.014 0.454 1.401 0.621–3.163 0.417 Above 5 1.322 0.267–6.532 0.732 1.439 0.429–4.828 0.554 Pig No pig 1 1 1–5 0.876 0.206–3.735 0.858 0.904 0.322–2.542 0.849 6–10 8.261 1.143–9.691 0.036 1.414 0.320–3.240 0.648 Above 10 0.604 0.086–4.250 0.612 1.053 0.243–4.558 0.945 Dog No dog 1 1 1–2 2.863 0.902–9.090 0.074 0.942 0.332–2.672 0.911 3–4 1.983 0.927–4.241 0.078 2.277 1.273–4.073 0.006 Chicken No chicken 1 1 1–10 1.823 0.358–9.272 0.469 0.394 0.079–1.982 0.259 11–20 6.003 2.227–16.180 < 0.001 1.108 0.487–2.518 0.807 Above 20 3.055 1.188–7.855 0.021 2.541 1.378–4.687 0.003 RR = Rate ratio, CI = 95% confidence interval, p = p-value Distance between houses and livestock pens and mosquito density The distance between livestock pens and houses did not have an impact on the mosquito density in all species except for An. coustani , where the mosquito density at a distance of 30 metres was significantly less than the density at a distance of less than 11 metres (Table 7). This means that there was a high density of mosquitoes in houses where the distance between houses and livestock pens was less than or equal to 10 compared to 11–20 metres (RR = 0.113, 95% CI: 0.022–0.588, p = 0.010) (Table 7). Table 8 The effect of distance between livestock pens and houses to the indoor density of Anopheles mosquitoes Species Distance (meters) RR CI p An. gambiae 1–10 1 11–20 0.703 0.361–1.372 0.302 21–30 1.374 0.549–3.442 0.497 Above 30 0.608 0.137–2.701 0.514 An. funestus 1–10 1 11–20 0.688 0.332–1.426 0.315 21–30 1.126 0.440–2.879 0.804 Above 30 0.361 0.061–2.134 0.261 An. pharoensis 1–10 1 11–20 0.185 0.030–1.147 0.070 21–30 0.934 0.095–9.185 0.953 Above 30 0.178 0.004–8.172 0.376 An. coustani 1–10 1 11–20 0.113 0.022–0.588 0.010 21–30 0.208 0.024–1.813 0.155 Above 30 0.098 0.003–3.151 0.189 An. squamosus 1–10 1 11–20 0.262 0.038–1.811 0.174 21–30 0.268 0.019–3.829 0.332 Above 30 0.553 0.012–24.516 0.760 RR = Rate Ratio, CI = 95% Confidence Interval, p = p-value Blood Meal Sources in Livestock-Keeping and Non-Livestock-Keeping Households A sub-sample of 2,066 female blood-fed An. gambiae s.l. mosquitoes were submitted for ELISA blood meal analysis. The overall identification for blood meal was 76.6% (n = 1,583). In houses with livestock, 747 (71.6%) An. gambiae s.l. mosquitoes were positive for bovine blood, 225 (21.6%) for human blood only, 1 for goat, 1 for chicken, 45 for mixed blood meal for human and bovine, 4 for mixed blood meal of human, chicken, and bovine, 1 for chicken blood, 4 for mixed blood meals for human and goat, and 4 for mixed blood meal for human and chicken (Table 9). In houses with no livestock, 363 An. gambiae mosquitoes amplified positively for human blood and 159 for bovine blood. Only 11 mosquitoes had a mixture of human and bovine blood; 2 mosquitoes had a mixed blood meal of human and goat; 2 mosquitoes had chicken blood; and 1 mosquito had a mixture of human, bovine, and chicken blood (Table 9). Generally, only 27% of An. gambiae s.l. mosquitoes were detected with human blood in households with livestock while 69.9% of mosquitoes from households with no livestock fed on human blood. That you present the narration in this section comparatively: Table 10 Blood indices of different hosts from Anopheles gambiae mosquitoes Hosts Blood With Livestock (n = 1044) Without Livestock (n = 539) Overall (n = 1583) Bovine 747 (71.6%) 159 (29.5%) 906 (57.2%) Bovine + Chicken 2 (0.2%) 1 (0.2%) 3 (0.2%) Chicken 1 (0.1%) 2 (0.4%) 3 (0.2%) Goat 13 (1.2%) 0 (0%) 13 (0.8%) Human 225 (21.6%) 363 (67.3%) 588 (37.1%) Human + Bovine 45 (4.3%) 11 (2.0%) 56 (3.5%) Human + Bovine + Chicken 4 (0.4%) 1 (0.2%) 5 (0.3%) Human + Chicken 4 (0.4%) 0 (0%) 4 (0.3%) Human + Goat 3 (0.3%) 2 (0.4%) 5 (0.3%) Indoors, more than 85% of mosquitoes collected indoors in households that have livestock have bovine blood, suggesting that they feed on cows and come indoors to rest (Fig. 8). Also, in households without livestock, more than 60% of mosquitoes have human blood meal, suggesting that the mosquitoes feed on humans only when there are no animals. This suggests zooprophylaxis. In the outdoors, the majority of the mosquitoes (approximately 75%) in households with livestock had bovine blood meal, suggesting that the livestock attract the mosquitoes outside. In households without livestock, the majority of the mosquitoes had human blood meal, as shown in Fig. 7. Figure 7 Proportion of blood meal detected from blood fed An. gambiae s.l. indoors and outdoors Impact of livestock on Anopheles gambiae s.l. mosquitoes’ ability to acquire human blood The presence of livestock increased the chance of mosquitoes to feed from other hosts to 7 times more (OR = 7.145, 95% CI: 5.618–9.086, p < 0.001) than obtaining human blood (Table 11 ), while mosquitoes were able to obtain a mixed blood of humans from other hosts 6 (OR = 6.350, 95% CI: 3.449–11.694, p < 0.001) times more than human blood in houses with livestock than houses with no livestock when adjusted to location. This indicates that in households with livestock, there is a high chance of mosquitoes feeding on other hosts other than human blood. Outdoors, mosquitoes were less likely to obtain other hosts’ blood than human blood (OR = 0.369, 95% CI: 0.260–0.522, p < 0.001) when adjusted to the household’s livestock status (Table 10 ). This indicates that mosquitoes were able to obtain more human blood meals indoors than outdoors. Table 11 Impact of household’s livestock status and location on mosquito ability to feed on human Variable Category Human blood as a reference Other hosts Mixed (Human + Other) OR CI p OR CI p Livestock status No livestock 1 1 With livestock 7.145 5.618–9.086 < 0.001 6.350 3.449–11.694 < 0.001 Location Indoor 1 1 Outdoor 0.369 0.260–0.522 < 0.001 0.710 0.339–1.490 0.365 OR = Odds ratios, CI = 95%Confidence interval, p = p-value Qualitative assessment of knowledge and perceptions of community members about mosquitoes and malaria transmission Demographic description of participants A total of 20 household representatives participated in the IDIs. The demographic characteristics of the participants are provided in Table 12 . Table 12 Demographic information of the study participants Variable % (n) Gender Female 60 (12) Male 40 (8) Age group 18–29 Years 40 (8) 30–39 Years 40 (6) 40–49 Years 15 (3) 50 Years and above 15 (3) Marital status Married/Cohabited 60 (12) Unmarried 35 (7) Widowed 5 (1) Educational status No formal education 25 (5) Primary 50 (10) Secondary and above 25(5) Main occupation Farmer 95 (19) Business 5 (1) Household size 1–3 people 30(6) 4–6 people 35 (7) Above 6 people 35 (7) Values are reported as %(n) Knowledge about mosquitoes and diseases they transmit The majority of the participants in the IDIs understood about mosquitoes (90%) and their habitats (85%) but could not identify them by species level (100%). However, all respondents were able to differentiate them by looking at their physical appearance and colours. The participants knew some of the diseases transmitted by mosquitoes and how those diseases are transmitted from mosquitoes to humans. Malaria was the most mentioned disease by all the participants among all mosquito-borne diseases. The majority of participants sought services in health care centres (85%), but a few participants reported self-medicating (15%). This is shown by the participants below: " What I know about mosquitoes is that these are insects that transmit diseases such as malaria and lymphatic filariasis." (Female, 34 years) "I have heard that there is a mosquito called Anopheles that is responsible for malaria transmission." (Female, 44 years) "The challenge is that this disease (malaria) is re-emerging because mosquitoes are always here. This causes people to be unable to perform their activities, especially when they are ill and sleeping. For us, finding a daily income and covering hospital expenses is very challenging." (Female, 62 years) “Mosquitoes are found in a variety of habitats; they first lay their eggs in a wet environment, and when they learn to fly, I believe they migrate to populated areas in search of blood.” (Female, 28 years) Knowledge on mosquito biting behaviour and mosquito control The majority of the participants reported staying outside before going to sleep (90%) since some of their houses were so small that they only used them for sleeping. Also, all participants responded that they were being bitten by mosquitoes both indoors and outdoors, especially from 7 to 10 p.m. They indicated that they usually sleep around 9:00 p.m. and wake up around 5:00 a.m. They also said there is a large mosquito density outdoors compared to indoors (60%). Almost all participants (95%) reported that malaria incidences keep decreasing every year due to the use of mosquito control interventions, particularly bed nets. They also reported that other vector control tools should be added in line with mosquito bed nets to maximise protection against vector-borne diseases. Examples of these responses are well illustrated by the participants below: " Usually, there are a lot of mosquitoes when I'm outside, and even when I'm inside, there are a lot of mosquitoes as well. As you can see, because of the numerous openings throughout our house, mosquitoes can easily get inside.” (Female, 28 years) "Depending on the tasks we have to complete, we occasionally go to bed early and occasionally stay up late. This causes a change in our sleeping patterns from day to day. The majority of the time, if we can get to bed early, we sleep at nine o'clock; however, if we are late, we sleep at twelve." (Female, 24 years) "Malaria cases have been decreasing to a large extent because significant efforts have been made to ensure that every family member sleeps under a bed net." (Male, 31 years) "We only use bed nets because we don’t have the ability to buy other interventions to protect ourselves from mosquitoes. We sleep very early because our houses are small; if you stay outside, there are many mosquitoes." (Female, 23 years) "I heard that there are special insecticides to spray on mosquito breeding habitats. I think this will help to crush the mosquito population to a large extent." (Male, 27 years) Livestock-keeping practices and distance between houses and livestock enclosures The majority of participants (75%) reported that livestock such as cows, pigs, and goats were kept outside the houses, while most chickens were kept inside the houses, sometimes sleeping in the same rooms with people. The distances from the houses and livestock enclosure were reported to range between 5 and 30 metres. The number of livestock ranges between 3 and 50 per household, depending on the category of animals kept, as illustrated by the following participants: "In this village, animals like cows, goats, pigs, and sheep are normally kept outdoors, but chickens are kept indoors because they are stolen by thieves during the night, especially in the rainy season." (Male, 27 years) "From livestock sheds to houses, it's like 5 metres; if livestock sheds are very far from houses, it is difficult to hear thieves when they wish to steal our animals, and that is a basic reason why we keep animals near homesteads." (Female, 44 years) Types of pesticides used to treat animals All participants reported to clean places where they keep their livestock often, and they also reported to clean their animals using pesticides. They reported the use of pesticides to protect their animals against animal diseases and also added that even the rest of the community do the same. They usually treat their animals at least once every two weeks; unfortunately, most of them (70%) fail to mention the name of the pesticide they usually use, and few participants (25%) mentioned ‘ paranex’ as their priority among the pesticides. They also reported that treating the animals with pesticides reduced mosquito density in a few days (55%). This is illustrated by the participants as follows: "Animals like cows are brought to the pasture and led through a mixture of water and insecticides, but we also occasionally spray them with pesticides right here on the farm. We normally spray it with insecticides every week or every two weeks.” (Female, 44 years) "Once the insecticide is sprayed on the day we spray for mosquitoes, the insects truly vanish. For about three days, there won't be any mosquito activity, and even if you remain outside, you'll be able to see that there are none. I believe another contributing factor is the smell of the pesticides. The strength of the pesticides seems to weaken the mosquitoes on the day of the spraying, but once it wears off, they return in the same manner.” (Female, 49 years) Relationship between malaria transmission and livestock keeping This study found that some of the participants understood the relationship between animal keeping and malaria transmission. They also responded that having many livestock increases the population density of mosquitoes and, hence, increases transmission. They mentioned some of the livestock that can contribute to the increase in mosquito density, such as cattle, chickens, and goats. "For instance, mosquitoes frequently attack our co-workers who go into the forest to herd cattle. There are typically a lot of mosquitoes where there are herds of cattle.” (Male, 48 years) "Mosquitoes will inevitably grow in number wherever there are lots of animals. Many animal pens, including those for cows, goats, pigs, and chicken coops, will have a lot of mosquitoes, as you'll notice. If you simply sit outside in areas where these animals are present, you risk getting bitten. Additionally, if your home is poorly constructed, mosquitoes will undoubtedly enter in large numbers. They enter inside to bite people." (Female, 24 years) Knowledge on the impact of livestock keeping on malaria transmission Most participants (95%) responded that knowledge of the impact of livestock keeping on malaria transmission is important to their community. Among the participants, 55% of them reported they didn’t get this information anywhere, but they were wondering what would happen with that large mosquito population density. They reported that they think the rest of the community members lack this information, so it is important to consider providing this information to the community. This is well explained by the participants below: "The truth is, in areas where there are a large number of animals, the mosquito density becomes very high. I think if these mosquitoes are infected with malaria parasites, the community members will get infected." (Female, 49 years) “It is very important for the community to receive education about the effects of animal keeping and malaria transmission, because I am not sure if this community of livestock keepers and farmers completely understands that. I believe it will be better if the specialists can collaborate with the village government to organise community meetings and pass the knowledge on to us as well.” (Male, 63 years) "The biggest challenge here in this village is the level of understanding. I believe that many of our fellow villagers sometimes do not realise the way they go about things. I think you should collaborate with the village government to provide better education, especially once you finish your research, so that you can come and share the results with us and we know what to do.” (Male, 45 years) “I believe the community needs more education on unregulated livestock farming; many herders do not follow proper livestock keeping practices, which is why they contribute to the excessive breeding habitats of mosquitoes, especially during the rainy season. Additionally, many of them do not always clean the cattle sheds, resulting in increased mosquito breeding near households. They should be provided with education to bring about a desired change." (Male, 31 years) Discussion The study results show that houses with a high number of livestock, especially cattle, sheep, dogs, goats, and chickens, experience a higher density of Anopheles mosquitoes indoors and outdoors than houses with no livestock. The Anopheles mosquitoes encountered were An. gambiae s.l. (particularly An. arabiensis ), An. funestus, An. pharoensis, An. coustani , and An. squamosus . Subsequently, houses with livestock have an increased risk of malaria transmission. Although the presence of livestock reduced the proportion of An. gambiae s.l. mosquitoes with human blood among houses with livestock compared to houses with no livestock, there were some mixed bloods from different hosts, including humans, cattle, goats, and chickens. In houses with livestock, cattle were the most preferred host (71.6%), while in houses with no livestock, humans were the most preferred host (67.3%) by An. gambiae s.l. mosquitoes. The effect of distance between houses and livestock shades on the density of mosquitoes collected indoors was not statistically significant except for An. coustani , where there was a significant decrease in mosquito collection when livestock were corralled between 11 and 20 meters ( p = 0.010). A higher density of Anopheles mosquitoes was observed in houses with mud walls and thatched roofs than in houses with bricks and iron sheets. The increase in mosquito density in houses with livestock was hypothesised to be due to various possible reasons: (i) Mosquitoes are attracted to odours produced by livestock such as cattle, goats, and others [ 9 , 11 ], (ii) livestock offers an alternative blood meal source to host-seeking mosquitoes. This is because normally livestock are not protected against mosquitoes like humans, especially during nights when the animals are not sprayed with insecticides and provide an open alternative blood source to mosquitoes [ 9 ]. This was also revealed by the detection of bovine and other hosts’ blood from An. gambiae s.l. mosquitoes. (iii) Cattle urine has been shown to attract primary and secondary malaria vectors in different settings [ 53 – 55 ] as malaria mosquitoes acquire and allocate cattle urine to enhance life cycle traits [ 55 ] which might be one of the reasons for the increased mosquito catches in households with livestock, particularly cattle. Due to that, further studies should be conducted to assess other livestock’s urine and other products that might contribute to the increase in mosquito density. The increase in mosquito density in houses with livestock was also revealed in other studies conducted in different countries, such as Pakistan [ 56 ] where there was an increase in human biting rate (HBR) in mosquitoes in the presence of cattle and goats. In Kenya, Minakawa et al. [ 24 ] showed that the ratio of human density to cow density was positively correlated with the relative abundance of An. gambiae larvae in the late rainy period. Furthermore, in Ethiopia, two studies revealed that the presence of cattle in proximity to human dwellings increases the HBR of An. pharoensis compared to houses with no livestock [ 57 , 58 ]. The results of this study are contrary to studies that have shown that the presence of livestock, such as cattle, was associated with a significant reduction of An. arabiensis mosquitoes indoors and outdoors [ 21 , 26 , 37 ]. These studies did not take into account the number and size of livestock corralled. Therefore, it is important to carefully verify these study results in other settings because Anopheles mosquitoes seem to behave differently in different geographical areas depending on other covariates, including climatic conditions such as temperature, humidity, and rainfall, and the availability of hosts [ 59 – 63 ]. In this study, the number of resting mosquitoes in houses with livestock was much higher in households with livestock than houses with livestock. This correlates with the results of host-seeking mosquitoes, where Anopheles mosquitoes were higher in households with livestock. The high density of host-seeking mosquitoes was probably a reason for the high number of resting mosquitoes, most of whom were fed by gravid mosquitoes. This shows similar findings to those obtained by Mayagara et al. [ 26 ] who observed that the number of outdoor resting An. gambiae s.l was higher in houses with livestock compared to households without, but differed in indoor collections where the number of An. gambiae s.l and An. funestus was lower in households with livestock indoors compared to households with no livestock [ 26 ]. In a study conducted in southern Malawi [ 37 ] reported that the number of indoor resting An. gambiae s.l. and An. funestus mosquitoes in houses with cattle did not differ from houses without cattle. Undoubtedly, further studies are required to assess the resting behaviour of Anopheles mosquitoes in livestock-keeping communities in order to design the best and most efficient vector control interventions to control resting mosquitoes. The presence of livestock at different distances did not have an impact on the densities of malaria vectors except for An. coustani , whereby a decrease in mosquito density was observed when livestock were kept between 11 and 20 metres from the house. This indicates that the presence of livestock in close proximity to human dwellings reduces An. coustani mosquitoes indoors, probably because mosquitoes are more attracted to animals than humans, so the animals pull them indoors, a situation that was clearly described by Iwashita et al. [ 27 ]. A study done in Malawi by Mburu et al. [ 37 ] showed that the presence of cattle at a variety of distances between houses and cattle sheds reduced the density of An. funestus mosquitoes when cattle were kept between 1 and 15 metres compared to households without cattle. This shows that there is a need for further studies to be done to assess the effect of various distances between homesteads in order to assess the optimal distance where livestock will be kept to reduce mosquito density around the homesteads. In the current study, bovine blood was the most preferred blood source among any other hosts, especially for mosquitoes collected in houses with livestock. This confirms that An. gambiae mosquitoes, specifically An. arabiensis , which was the most abundant species among the An. gambiae complex group, are an opportunistic malaria vector that mostly prefers to feed on cattle’s blood [ 9 , 64 , 65 ]. This tells us that the presence of livestock reduces the human blood index, as described by Mayagaya et al. (2015) in which the proportion of human blood index of An. arabiensis and An. funestus was approximately 50% lower in houses with livestock than those without. This further shows that the presence of livestock offers an alternative blood meal source to mosquitoes, which reduces the risk of malaria transmission due to the fact that livestock are dead-end or decoy hosts because malaria parasites cannot develop in cattle, hence zooprophylaxis. Mahande et al. [ 66 ] also showed that the HBI in An. arabiensis was lower in households with cattle than those without cattle. This portrays the zoophilic behaviour of these mosquitoes as it was observed in the current study. In this regard, despite having a higher mosquito density in households with livestock, the HBI is much lower than in households without livestock. Surprising results showed that even in houses without livestock, there were mosquitoes with bovine blood and some mixed-blood meals of humans and bovine. This might be due to various possible reasons, such as animals not being zero-grazed and just staying outside the homesteads or the possible flight of mosquitoes between households with livestock and those without. It has been previously reported that blood-fed An. gambiae mosquitoes can fly up to 10 kilometres [ 67 ]. Only 76% of blood meals were positively identified, according to laboratory tests, so not all blood meals were detected. This might be caused by a variety of reasons, such as mosquitoes feeding on other vertebrates whose antibodies were not present. Similar results have been found in other studies [ 26 , 37 ], showing that An. gambiae mosquitoes only amplify to a limited extent during blood meal examinations. The qualitative part of this study shows that most community members observe their home environments clearly regarding the issue of malaria transmission. Some of the participants were able to identify mosquitoes based on their physical appearance and colours. This knowledge can also be used for mosquito surveillance using a citizen science approach [ 68 ], where community members may be professionally trained and can be used to continuously monitor species diversity and densities [ 69 ]. This will be useful to track trends in dominant mosquito species and be able to detect invasive species that might come into our societies [ 70 , 71 ]. Mwangungulu et al. [ 72 ] showed community knowledge and experiences to be used as a crowdsourcing vector surveillance strategy for identifying areas with a high density of mosquitoes instead of conducting large-scale surveillance. During the qualitative assessment, it was revealed that the majority of community members spend their early evenings or nights outdoors engaging in different activities such as cooking, relaxing, and playing before going to sleep. This exposes them to early-biting mosquitoes. Similar findings were reported by a study conducted to link human behaviours and malaria vector biting risks, where most of the activities done by community members before bedtime exposed them to malaria transmission risks [ 73 ]. Therefore, there should be vector control interventions focusing on controlling early biting, such as the use of repellents [ 74 , 75 ]. The use of pesticides on animals was one of the key aspects that were observed during IDIs, where most of the participants acknowledged using or seeing others use pesticides to treat animals against diseases and mosquito disturbances. This might increase mosquito resistance against those pesticides, some of which contain pyrethroids. Studies should be conducted to assess the susceptibility status of mosquitoes in livestock-keeping households, like what was done in rural Tanzania to assess the effect of agricultural pesticides on the susceptibility and fitness of major malaria vectors [ 32 ]. According to community members' observations of their environments and ecosystems, houses with livestock around their homesteads seemed to have more mosquito abundance than those with no livestock. This information was corroborated by the mosquito sampling activities, which revealed the same scenario for malaria vectors. Thus, this shows that the knowledge and experience of the community members are important baseline information for conducting further studies regarding the relationship between malaria transmission and other underlying variables, as well as before applying vector control tools. Another study showed that livestock-keeping communities have less knowledge and practices on preventing mosquito-mediated diseases than non-livestock-keeping communities [ 30 ]. Therefore, community engagement plays an important role in implementing community-based control interventions against various health issues. Providing and mobilizing knowledge about malaria and its risk factors, such as livestock, will assist in reducing malaria transmissions in our settings [ 76 , 77 ]. This can be done using different approaches, such as the use of drama [ 78 ] to convey information to the public. Despite achieving study results, this study underwent some limitations. First, the study was conducted in the rainy season only and therefore lacks information on the dry season. Thus, it is important for future studies to incorporate seasonality covariates from different consecutive years in order to draw general conclusions. Secondly, the study did not take into account the micro-climatic factors such as temperature and humidity, which also play an important role in the ecology of malaria vectors [ 62 , 63 , 79 – 81 ]. Thirdly, the sporozoite infection status of the collected female Anopheles mosquitoes was not assessed. This lacks confirmation on where exactly malaria transmission is high, despite the presence and absence of livestock. Lastly, the study focused on malaria vectors only, though in the study area, non-malaria vectors coexist with malaria vectors. It is important for other studies to be conducted to assess the impact of livestock on other non-anopheline mosquitoes. Conclusion The presence of livestock, particularly cattle in close proximity to households increases the density of malaria vectors indoors and outdoors. Animals such as cattle, sheep, goats, dogs, and chickens have been identified to attract some Anopheles mosquitoes This increases the risk of malaria transmission if no additional malaria control interventions are introduced or implemented. Keeping livestock, especially cattle, would reduce mosquito bites from humans and hence zooprophylaxis. This study suggests several actions to be considered: (i) integrated vector management in all sectors, (ii) livestock-based interventions such as spraying animals with insecticides should be applied in livestock-keeping communities where Anopheles arabiensis is a dominant malaria vector. (iii) further studies should be conducted to assess mosquitoes’ behaviour in livestock-keeping communities across different seasons. (iv) Community engagement and the provision of education to the community on malaria control practices are the key aspects to be considered for achieving a significant result against ongoing malaria transmission. Abbreviations CDC: Centre for Disease Control and Prevention ELISA: Enzyme-linked Immunosorbent Assay GLMM: Generalized Linear Mixed Model HBI: Human Blood Index IRS: Indoor Residual Sprays LLINs: Long lasting Insecticide-treated Nets MBDs: Mosquito-Borne Diseases PCR: Polymerase Chain Reaction WHO: World Health Organization Declarations Ethical considerations The permission to conduct this study was obtained from Jaramogi Oginga Odinga University of Science and Technology ethical review committee (JOOUST-ERC) 1: JOOUST/DVC-RIO/ERC/E4 and from the institutional review board of the Ifakara Health Institute (IHI-IRB) Ref No. IHI/IRB/No:41-2022. and National Institute for Medical Research (NIMR/HQ/R.8a/Vol.IX/3352) Before conducting the study, the District Medical Officers were informed about the study and granted permission and informed local leader; through an introduction letter 1 No. UDC/ADM/A.10/207/124. Additionally, consent to conduct the study was sought from both, communal and individual level. Communal consent was from face-to-face discussion with local leaders about the study and request to conduct it in his village. Individual consent was by discussing with each participant about the study procedures and its implications/importance followed by a request to participate. Those who agreed to participate were given written consent forms to fill before participating in this study. Consent for publication Permission to publish was obtained from the National Institute for Medical Research (Ref. no.BD. 242/437/01B/19) Availability of data and materials Relevant datasets for this study are available from the corresponding author upon request Competing interests The authors declare that they have no competing interest. Authors’ contributions YAM, AOO, EWK and FAA conceived the study and developed a study protocol. YAM, GCK and EWK conducted experiments and data collection supervision. YAM, AOO, WPM and LLM conducted data analysis. YAM wrote the first draft of the manuscript. YAM and HHM prepared a map of a study area. FM, DO, AOO, EWK and FAA revised the manuscript and all authors approved it prior to submission. All authors approved the final manuscript. Acknowledgements We give great appreciation to community leaders of Ulanga district and Minepa village for giving permission for this study to be conducted. We thank Mr. Jibsam Jesse, Mr. Mbwana Matitu, Mr Jalieni Mbofu and all volunteers who participated in this study during the data collection process. We also give special appreciations to Ms. Rukiyah Mohamed and other outdoor malaria control (OMC) team members for their unmeasurable logistical and technical assistance since we started this study. Funding This work was supported by the Capacity Development of Applied Epidemiologists in Eastern Africa Region (CDAE), a project which is part of the European and Developing Countries Clinical Trials Partnership II (EDCTP2) Programme supported by the European Union. CDAE is jointly implemented by the African Population and Health Research Center (APHRC), the Am1 International University (AMIU) and the Jaramogi Oginga Odinga University of Science and Technology (JOOUST) and funded by the EDCTP2 (grant: CSA2020E-3139) awarded to YAM. EWK was supported by the Consortium for Advanced Research Training in Africa (CARTA). CARTA is jointly led by the African Population and Health Research Center and the University of the Witwatersrand and funded by the Carnegie Corporation of New York (Grant No. G-19-57145), Sida (Grant No:54100113), Uppsala Monitoring Center, Norwegian Agency for Development Cooperation (Norad), and by the Wellcome Trust [1erence no. 107768/Z/15/Z] and the UK Foreign, Commonwealth & Development Office, with support from the Developing Excellence in Leadership, Training and Science in Africa (DELTAS Africa) programme. EWK was also funded by NIHR–Wellcome Trust Partnership for Global Health Research International Training Fellowship (Grant Number: 216448/Z/19/Z). References Renggli S, Mandike R, Kramer K, Patrick F, Brown NJ, McElroy PD, et al. Design, implementation and evaluation of a national campaign to deliver 18 million free long-lasting insecticidal nets to uncovered sleeping spaces in Tanzania. Malar J. 2013;12(1):1–16. 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Cite Share Download PDF Status: Published Journal Publication published 17 Jul, 2024 Read the published version in Malaria Journal → Version 1 posted Editorial decision: Revision requested 09 Mar, 2024 Reviews received at journal 01 Mar, 2024 Reviewers agreed at journal 09 Feb, 2024 Reviewers invited by journal 08 Feb, 2024 Submission checks completed at journal 03 Feb, 2024 Editor assigned by journal 03 Feb, 2024 First submitted to journal 02 Feb, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Ochieng","email":"","orcid":"","institution":"Jaramogi Oginga Odinga University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Alfred","middleName":"O.","lastName":"Ochieng","suffix":""},{"id":270796692,"identity":"908d064a-7637-4d7d-b800-a290dfa7a5cb","order_by":8,"name":"Emmanuel W. Kaindoa","email":"","orcid":"","institution":"Ifakara Health Institute","correspondingAuthor":false,"prefix":"","firstName":"Emmanuel","middleName":"W.","lastName":"Kaindoa","suffix":""},{"id":270796693,"identity":"7d7d54d4-bd06-46c0-ac26-4723e1c08842","order_by":9,"name":"Fred A. Amimo","email":"","orcid":"","institution":"Jaramogi Oginga Odinga University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Fred","middleName":"A.","lastName":"Amimo","suffix":""}],"badges":[],"createdAt":"2024-02-02 10:32:34","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3920538/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3920538/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1186/s12936-024-05039-1","type":"published","date":"2024-07-17T16:13:30+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":50752025,"identity":"8a27428b-e4a1-4e3e-b1c7-33b13f414911","added_by":"auto","created_at":"2024-02-06 17:42:25","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":231261,"visible":true,"origin":"","legend":"\u003cp\u003eA map showing the household distribution in the study area\u003c/p\u003e","description":"","filename":"Figure1Amapshowingthehouseholddistributionin.png","url":"https://assets-eu.researchsquare.com/files/rs-3920538/v1/c3d08170ac1505561de03bfe.png"},{"id":50749623,"identity":"721df499-106d-4070-9607-b21087df2068","added_by":"auto","created_at":"2024-02-06 17:26:25","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":2670227,"visible":true,"origin":"","legend":"\u003cp\u003eA pictorial representation of the common types of livestock that are kept in the study area village (b and c) and sample houses that are present in a study area (a and d)\u003cstrong\u003e.\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"Figure2Apictorialrepresentationofthecommontypesoflivestock.jpg","url":"https://assets-eu.researchsquare.com/files/rs-3920538/v1/99fc8de13b8a1fd94d7ab177.jpg"},{"id":50749624,"identity":"b93a96e4-6491-4de4-bf7e-88f43a301cbb","added_by":"auto","created_at":"2024-02-06 17:26:25","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":8983827,"visible":true,"origin":"","legend":"\u003cp\u003eMosquito traps which were used for mosquito collections; \u003cstrong\u003e(a)\u003c/strong\u003e a person collecting resting mosquitoes from resting bucket using prokopack aspirator near cattle shed \u003cstrong\u003e(b)\u003c/strong\u003e a volunteer collecting resting mosquitoes indoor using a prokopack aspirator \u003cstrong\u003e(c)\u003c/strong\u003e a double net trap (d) a CDC-light trap.\u003c/p\u003e","description":"","filename":"Figure3Mosquitotrapswhichwereusedformosquitocollections.png","url":"https://assets-eu.researchsquare.com/files/rs-3920538/v1/2e25068b01fca605e55f4979.png"},{"id":50749619,"identity":"ddfefec8-5c62-4483-9d9f-019ae2acace4","added_by":"auto","created_at":"2024-02-06 17:26:25","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":424197,"visible":true,"origin":"","legend":"\u003cp\u003eDensity of host-seeking malaria vectors in houses with and without livestock\u003c/p\u003e","description":"","filename":"Figure4Densityofhostseekingmalariavectorsinhouses.png","url":"https://assets-eu.researchsquare.com/files/rs-3920538/v1/cfb916b4e70b410c02f9948a.png"},{"id":50749618,"identity":"87caa491-9528-4e99-a3e8-d087e5e74a67","added_by":"auto","created_at":"2024-02-06 17:26:25","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":275835,"visible":true,"origin":"","legend":"\u003cp\u003eTrend of mosquito density in houses with and without livestock in different months during the study period.\u003c/p\u003e","description":"","filename":"Figure5Trendofmosquitodensityinhouseswithandwithoutlivestock.png","url":"https://assets-eu.researchsquare.com/files/rs-3920538/v1/eddde5ed46520f53e143d31b.png"},{"id":50749620,"identity":"182be6dc-5ed4-4bce-99be-a9ccf7139e3e","added_by":"auto","created_at":"2024-02-06 17:26:25","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":409866,"visible":true,"origin":"","legend":"\u003cp\u003eDensity of resting malaria vectors in houses with and without livestock\u003c/p\u003e","description":"","filename":"Figure6Densityofrestingmalariavectorsinhouses.png","url":"https://assets-eu.researchsquare.com/files/rs-3920538/v1/55ec0d6bf9aaa669f3f466a4.png"},{"id":50751113,"identity":"d522ffaa-b675-4f18-a23a-9d0ca1b0fc58","added_by":"auto","created_at":"2024-02-06 17:34:25","extension":"png","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":158016,"visible":true,"origin":"","legend":"\u003cp\u003eProportion of blood meal detected from blood fed \u003cem\u003eAn. gambiae\u003c/em\u003e s.l. indoors and outdoors\u003c/p\u003e","description":"","filename":"Figure7Proportionofbloodmealdetectedfromblood.png","url":"https://assets-eu.researchsquare.com/files/rs-3920538/v1/2b6923613aa8f3f45efab04a.png"},{"id":61597569,"identity":"827fc32e-c197-4f3d-a295-da4f5a04c258","added_by":"auto","created_at":"2024-08-01 17:33:26","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":18659429,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3920538/v1/c1505746-7a09-4197-8d09-da196cdd6dd4.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Livestock keeping, mosquitoes and community viewpoints: a mixed methods assessment of relationships between livestock management, malaria vector biting risk and community perspectives in rural Tanzania","fulltext":[{"header":"Background","content":"\u003cp\u003eIn recent years, vector control tools such as Insecticide-treated Nets (ITNs) and Indoor Residual Sprays (IRS) have significantly contributed to the reduction of malaria transmission worldwide [\u003cspan additionalcitationids=\"CR2 CR3\" citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. However, between 2015 and 2021 malaria control has stalled due to emergence of insecticide resistance, mosquitoes\u0026rsquo; behavioural avoidance of insecticides and some malaria vector species\u0026rsquo; inherent behavioural plasticity amongst malaria vectors that keeps them out of contact with indoor-based mosquito control methods [\u003cspan additionalcitationids=\"CR6 CR7\" citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eMosquito vectors are known to obtain blood from human and non-human hosts, such as livestock [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. Female mosquitoes identify their hosts by detecting host odours in the environment and then following these cues upwind from long or short ranges [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. Blood meal is necessary for mosquitoes to develop their eggs [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. Although there are varying blood feeding behaviours among mosquito species, some \u003cem\u003eAnopheles\u003c/em\u003e species prefer to exclusively feed on humans, while other species prefer to feed on both animals and human beings [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eUsually, the use of ITNs and IRS targets female mosquitoes that bite humans (anthropophilic) and that feed and rest indoor (endophagic and endophilic), but some malaria vectors exhibit different feeding and resting behaviours for there are some mosquitoes that bite at dusk and dawn, rest outdoors and obtain alternative blood meal from other vertebrates. Exclusive human blood indices (proportion of mosquito samples which are positive for human blood) are extremely unusual in the majority of malaria vectors, indicating that some female mosquitoes prefer to feed on other vertebrates\u0026rsquo; blood and most commonly cattle [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. This is because cattle are often more easily accessible such that many female mosquito species' host preferences show a high degree of plasticity, primarily as a result of environmental factors such when preferred host species vanish or become inaccessible [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. In some settings, non-human feeding and outdoor resting behaviours of \u003cem\u003eAnopheles\u003c/em\u003e mosquitoes are common [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. The mosquito species which feed partially on human and livestock blood, enhance mosquitoes\u0026rsquo; fitness, thus contributing to the persistence of malaria transmissions [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e, \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eTanzania is one of the countries with the largest number of livestock in sub-Saharan Africa, comprising approximately 33.8\u0026nbsp;million cattle (98% of which are indigenous breeds), 24.5\u0026nbsp;million goats, 8.5\u0026nbsp;million sheep, 3.2\u0026nbsp;million pigs, and 87.7\u0026nbsp;million chickens [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. Livestock keeping is one of the economic activities that plays an important role in poverty alleviation, food security enhancement, employment creation, and environmental conservation, particularly, in village settings [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]. Since livestock are not infected with \u003cem\u003ePlasmodium\u003c/em\u003e parasites, for a long period of time, it has been proposed to establish interventions to control malaria by using the available livestock in societies by diverting malaria vector biting from humans, an intervention known as zooprophylaxis [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. In the process of assessing the effectiveness of livestock-based malaria interventions, there are still contradictions in the number of studies that have been conducted in different parts of the world. Some studies support a zooprophylaxis approach, while others go against it.\u003c/p\u003e \u003cp\u003eLivestock husbandry is one of the most important economic activities in rural areas of Sub-Saharan Africa [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]. However, some evidence suggests that domestic livestock production at the household level may increase the risk of malaria transmission [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]. It has been hypothesised that the presence of livestock, particularly cattle, provides alternative sources of blood meal for mosquitoes, thereby increasing mosquito density and their survival rate [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. Some evidence shows that cattle contribute to higher mosquito density and malaria transmission [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e, \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. Furthermore, cattle keeping is responsible for the creation of suitable breeding habitats for malaria vectors through the creation of drinking water sites and hoof prints, especially during rainy seasons, resulting in a high mosquito population in communities with cattle [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e, \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e]. Another study in Burkina Faso [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e] observed a positive correlation between donkeys and \u003cem\u003eAn. gambiae\u003c/em\u003e abundance inside houses. This correlation raises an important question about the potential role of donkeys in attracting mosquitoes into human dwellings. These relationships could be utilised to develop effective strategies for malaria control.\u003c/p\u003e \u003cp\u003eOther studies, however, have provided contradictory results, indicating that keeping livestock may reduce the risk of malaria transmission. Mayagaya \u003cem\u003eet al.\u003c/em\u003e, [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e], found that presence of cattle at household level significantly altered the species composition, feeding and resting behaviours of mosquitoes, thereby reducing the risks of malaria transmission in rural Tanzania. In that study, households with cattle had lower human blood index and sporozoite rate than those without cattle. Furthermore, additional studies have also found that keeping cattle can divert mosquitoes that would otherwise feed on humans and the increased blood feeding on cattle reduces the human-mosquito contacts, hence reducing risk of malaria transmission [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e, \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e]. Overall, studies have shown contrasting perspectives on the relationship between livestock keeping and malaria transmission risks. Whereas studies suggest that livestock keeping poses risk to malaria transmission (zoopotentiation effect), others suggest that keeping livestock acts as a protective factor against malaria transmission (zooprophylaxis). It is clear that the impact of livestock on malaria transmission, distribution, and densities of potential malaria vectors is a complex issue that needs more investigation in different settings. These two contrasting findings formed a basis for this study to assess the impact of livestock management and keeping practices on malaria transmission risks in a selected village in South-eastern Tanzania.\u003c/p\u003e \u003cp\u003eMoreover, in order to achieve significant achievements in the fight against malaria and other mosquito-borne diseases, community participation is an important factor to be taken into consideration [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e]. There are a limited number of studies on the assessment of the knowledge and perception of community members about the relationship between livestock keeping and malaria transmission. For example, Nguyen-Tien et al [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e], conducted a study to assess the knowledge and practices on the prevention of mosquito-borne diseases (MBDs) in livestock-keeping and non-livestock-keeping communities. The results showed that people in livestock-keeping communities had less knowledge of practices and prevention against MBDs than non-livestock-keeping communities. However, even the study did not assess the knowledge and perception of community members on the relationship between livestock keeping and malaria transmission. Despite assessing the effect of livestock on the prevalence of malaria, Hasyim et al. [\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e] did not capture the attitude and perception of community members about how they know and perceive the problem. Whether livestock have zooprophylactic or zoopotentiation effect, the community must be aware of the situation, and a proper understanding of the situation will encourage better malaria control strategies among the community members. In south-eastern Tanzania, there are a limited number of studies focusing on the impact of livestock on the distribution and densities of malaria vectors. Therefore, this study investigated the impact of livestock management on malaria transmission risks. It further explored the knowledge and perception of community members towards the relationship between livestock keeping and malaria transmission.\u003c/p\u003e"},{"header":"Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eStudy area\u003c/h2\u003e \u003cp\u003eThis study was conducted in Minepa village (8.21\u0026deg;S to 8.29\u0026deg;S, 36.67\u0026deg;E to 36.71\u0026deg;E), Ulanga district, which is found in Kilombero Valley in south-eastern Tanzania (Fig.\u0026nbsp;1). The annual rainfall and temperature vary from 1300 to 3600 mm and 15 to 35\u0026deg;C, respectively [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e]. Most of the residents are small-scale farmers and engage in livestock husbandry, while others engage in small businesses [\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e, \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e]. Common livestock that are kept include cattle, goats, sheep, dogs, pigs, and chickens. The principal malaria vectors are \u003cem\u003eAnopheles arabiensis\u003c/em\u003e and \u003cem\u003eAnopheles funestus\u003c/em\u003e, which contribute to more than 80% of contemporary malaria transmission [\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e]. Other \u003cem\u003eAnopheles\u003c/em\u003e mosquitoes are found in this area, such as \u003cem\u003eAn. coustani, An. pharoensis\u003c/em\u003e, \u003cem\u003eAn. squamosus\u003c/em\u003e, \u003cem\u003eAn. ziemanni\u003c/em\u003e, and \u003cem\u003eAn. wellcomei\u003c/em\u003e, as well as other culicine mosquito species such as \u003cem\u003eMansonia\u003c/em\u003e, \u003cem\u003eCulex\u003c/em\u003e, and \u003cem\u003eAedes\u003c/em\u003e [\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e]. The main malaria control intervention in the area is LLINs [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e].\u003c/p\u003e \u003cp\u003e \u003cstrong\u003eFigure 1\u003c/strong\u003e \u003cp\u003eA map showing the household distribution in the study area\u003c/p\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003eSelection of households\u003c/h2\u003e \u003cp\u003eA total of 40 households were randomly selected; out of which 20 kept livestock (Fig.\u0026nbsp;2) and the other 20 had no livestock. Selection was conducted in December 2022 for 3 days with the help of village leaders and study volunteers. All selected houses were classified according to their housing characteristics such as door, window, eave space, floor and roof status. Also, details on number of household occupants and distance from household to livestock sheds were observed. All livestock present in selected households were observed and recorded. The common livestock observed were cattle, sheep, goats, dogs, pigs and poultry (chicken and ducks). In some occasions where livestock were kept at different distances, an average distance was calculated and recorded as described by previous study [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e]. The chickens and ducks were observed to be kept mostly indoors and sometimes outdoors.\u003c/p\u003e \u003cp\u003e \u003cstrong\u003eFigure 2\u003c/strong\u003e \u003cp\u003eA pictorial representation of the common types of livestock that are kept in the study area village (b and c) and sample houses that are present in a study area (a and d).\u003c/p\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003eMosquito collection\u003c/h2\u003e \u003cp\u003eEach household was visited once per week from January to April 2023, for a total of 16 nights of mosquito collection per house. Mosquito collection was done indoors and outdoors. Indoor mosquito collection of host-seeking mosquitoes was done using Centers for Disease Control and Prevention (CDC)-Light traps, model 512, John W. Hock Company, Gainesville, FL, USA [\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e] as shown in Fig.\u0026nbsp;3(d). Resting mosquitoes were collected using a Prokopack aspirator (Fig.\u0026nbsp;3b), model 1419, John W. Hock Company, Gainesville, FL, USA [\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e, \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e]. CDC-Light traps were set from 18:00 to 06:00 hours, approximately 1.5 metres from the ground adjacent to the bed where the household occupant slept. To allow mosquito solicitation, the CDC-Light traps were connected to 12 V batteries. Aspirations were done using Prokopack aspirators, which were connected to 12 V batteries. On some occasions, aspirations were not possible to be conducted indoors because households\u0026rsquo; owners were not available to grant permission to do aspirations indoors; they left their houses very early in the morning for agricultural activities. Indoor aspirations were done from 06:00 hours to around 08:00. The period of aspiration per household lasted for up to 10 minutes, depending on the size of the rooms and houses where aspiration was done.\u003c/p\u003e \u003cp\u003eOutdoor collection of hosts seeking mosquitoes was done by well-trained volunteers using human-baited double net traps (Fig.\u0026nbsp;3c) and traditionally-made syphons [\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e]. Outdoor resting mosquitoes were collected using resting buckets. The double net traps were set outside each selected house from 18:00 to 06:00 hours by two volunteers, one from 18:00 hours to midnight and the other from midnight to 06:00 hours. All mosquitoes collected from double-net traps were kept in paper cups covered with a small cloth with small holes. The double net traps were used as an alternative to the human landing catch (HLC) because they protect volunteers from mosquito bites, which may accelerate malaria transmission [\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e]. Resting buckets (20-litre volume) covered with black cloth inside were placed 5 to 10 metres away from selected houses from 18:00 hours to 06:00 hours to allow mosquitoes to rest after night-time activities. In the morning, from 06:00 hours to around 08:00 hours, resting mosquitoes were collected from resting buckets using a prokopack aspirator. One resting bucket was placed in each selected house during the night of collection, but in houses with livestock, one additional bucket was placed around the livestock sheds (Fig.\u0026nbsp;3, a). The resting buckets were laid on their sides and left open during the night of collection.\u003c/p\u003e \u003cp\u003e \u003cstrong\u003eFigure 3\u003c/strong\u003e \u003cp\u003eMosquito traps which were used for mosquito collections; \u003cb\u003e(a)\u003c/b\u003e a person collecting resting mosquitoes from resting bucket using prokopack aspirator near cattle shed \u003cb\u003e(b)\u003c/b\u003e a volunteer collecting resting mosquitoes indoor using a prokopack aspirator \u003cb\u003e(c)\u003c/b\u003e a double net trap (d) a CDC-light trap.\u003c/p\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003eMosquito identification\u003c/h2\u003e \u003cp\u003eAll mosquitoes collected were killed using petroleum fumes. Female \u003cem\u003eAnopheles\u003c/em\u003e mosquitoes collected were morphologically identified by taxa and sex levels using key to the females of Afrotropical \u003cem\u003eAnopheles\u003c/em\u003e mosquitoes [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e] then classified according to their abdominal status as unfed, partly fed, fed, and gravid. \u003cem\u003eAnopheles\u003c/em\u003e mosquitoes were kept individually or pooled in 1.5 ml Eppendorf containing silica gel desiccant. Every tube was assigned a unique identification number and placed inside storage boxes that included details such as the village name, house number, trap location, species name, and date. These samples were prepared for further laboratory analysis. A sub-sample of \u003cem\u003eAnopheles gambiae\u003c/em\u003e s.l. and \u003cem\u003eAn. funestus\u003c/em\u003e group were submitted to the Ifakara Health Institute (IHI) laboratory for polymerase chain reaction (PCR) identification of sibling species using a protocol developed by Scott et al [\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e] and Koekemoer et al [\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e], respectively.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003eBlood meal identification\u003c/h2\u003e \u003cp\u003eFed mosquitoes\u0026rsquo; abdomens were removed using forceps and blood antigen (protein) was tested using five different blood sources namely; human, bovine, goat, dog, pig, and chicken using ELISA technique in the laboratory to identify blood meal sources following the procedure described by Chow \u003cem\u003eet al\u003c/em\u003e [\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e].\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003eQualitative data collection\u003c/h2\u003e \u003cdiv id=\"Sec9\" class=\"Section3\"\u003e \u003ch2\u003eIn-depth interviews\u003c/h2\u003e \u003cp\u003eA qualitative assessment was conducted in the village where mosquito collections were conducted. This assessment was done by carrying out in-depth interviews (IDIs) with the household heads where mosquito collections were conducted to assess the knowledge and perception of the community members on the relationship that exists between livestock management practices and malaria transmission. An in-depth interview guide was prepared to capture the following areas of interest: (i) mosquito control and malaria transmission; (ii) livestock keeping practices; (iii) types of pesticides used to protect the animals; (iv) distance between houses and livestock sheds; (v) relationship between malaria transmission and livestock keeping; (vi) impact of livestock keeping on malaria transmission. These IDIs included both households with and without livestock and included male and female participants. Every interview session lasted for 25 to 50 minutes. All sessions were done in local or village primary school buildings, and on some occasions, the sessions were done within participants\u0026rsquo; compounds.\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003eStatistical analysis\u003c/h2\u003e \u003cdiv id=\"Sec11\" class=\"Section3\"\u003e \u003ch2\u003eQuantitative data analysis\u003c/h2\u003e \u003cp\u003eQuantitative data analysis was done using R statistical software version 4.2.1 [\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e]. Generalized linear mixed models (GLMM) built in template model builder (TMB) following negative binomial distribution were used to model the impact of presence and number of livestock on malaria vector density in \u003cem\u003eglmmTMB\u003c/em\u003e package [\u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e, \u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e]. In these models, indoor and outdoor mosquito counts were used as response variables whilst presence of different livestock, number of livestock, distance between household and livestock pen, number of household occupants and house characteristics were used as fixed variables. Date of collection and household ID were added as random effect variables to take into account sampling bias and unexplained variation by fixed effect variables. In models involving mosquitoes collected outdoors, the number of mosquitoes collected using resting buckets near livestock pens (NL) were not included. Based on Akaike information criterion (AIC), other variables were not selected for they showed less contribution in the models. All graphs were plotted in \u003cem\u003eggplot2\u003c/em\u003e package [\u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eBlood indices for different hosts (human, bovine, goat, dog, and chicken) were calculated and compared for mosquitoes collected from houses with and without livestock. The hosts blood indices were obtained using the following formula:\u003cdiv id=\"Equa\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equa\" name=\"EquationSource\"\u003e\n$$Hos{t}^{{\\prime }}s blood index= \\frac{Total mosquitoes with specific host{\\prime }s blood meal}{Total mosquitoes examined}*100$$\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003eAlso, a multinomial logistic regression model was used to assess the influence of livestock and location on mosquitos\u0026rsquo; ability to get human blood. In this model, a blood meal with three levels (human, other hosts, and mixed blood meal) was used as a response variable, while a household\u0026rsquo;s livestock status and location (indoors or outdoors) were used as predictor variables. This model was implemented using the \u003cem\u003emultinom()\u003c/em\u003e function from the \u003cem\u003ennet\u003c/em\u003e package [\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e].\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec12\" class=\"Section2\"\u003e \u003ch2\u003eQualitative data analysis\u003c/h2\u003e \u003cp\u003e Audio data from IDIs were transcribed and then translated from Swahili to English and notes taken during the discussion were also included in the written transcript. Before analysis, the data was checked to assess if it was well translated and documented. The data were analysed using the computer software package for qualitative analysis (Nvivo software version 13) [\u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e52\u003c/span\u003e] through thematic analysis. The codebook was developed using inductive coding methods. The main themes developed during the analysis were: (i) knowledge about mosquito and diseases they transmit (ii) Knowledge on mosquito biting behaviour (iii) Livestock keeping practices (iv) Types of pesticides used to treated animal (v) Relationship between malaria transmission and livestock keeping and (vi) Impact of livestock keeping on malaria transmission.\u003c/p\u003e \u003c/div\u003e"},{"header":"Results","content":"\u003cdiv id=\"Sec14\" class=\"Section2\"\u003e \u003ch2\u003eSummary of All Mosquitoes Collected\u003c/h2\u003e \u003cp\u003eA total of 155,752 female mosquitoes were collected. Out of these, 86,491 (55.5%) were collected indoors and 69,261 (44.5%) were collected outdoors. Among mosquito traps, the CDC-Light trap was the most efficient, collecting 76,344 (49%) mosquitoes, followed by the double net trap, which collected 64,656 (41.6%). Resting buckets near the livestock pen collected the least number of mosquitoes (1,733) among the traps. As indicated in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e, 31.3% (48,676) were anophelines, and the remaining were culicine mosquitoes' species. Among the anopheline mosquitoes, \u003cem\u003eAn. gambiae\u003c/em\u003e sensu lato (s.l.) was the most abundant, comprising 43,105 mosquitoes (27.7% of all female mosquitoes collected); others were \u003cem\u003eAn. squamosus\u003c/em\u003e (1972), \u003cem\u003eAn. coustani\u003c/em\u003e (1,705), \u003cem\u003eAn. pharoensis\u003c/em\u003e (1,686), and \u003cem\u003eAn. funestus\u003c/em\u003e (209). Near the livestock pens, \u003cem\u003eAn. gambiae\u003c/em\u003e s.l was the most abundant among the \u003cem\u003eAnopheles\u003c/em\u003e mosquitoes (95% of all Anopheles mosquitoes, n\u0026thinsp;=\u0026thinsp;981), followed by \u003cem\u003eAn. funestus\u003c/em\u003e (2%, n\u0026thinsp;=\u0026thinsp;33). There were no \u003cem\u003eAn. squamosus\u003c/em\u003e resting around the animal pens. \u003cem\u003eCulex\u003c/em\u003e species was the most abundant among culicine mosquitoes, comprising 105,093 mosquitoes (67.5% of all female mosquitoes collected); others were \u003cem\u003eMansonia\u003c/em\u003e 1,758 (1.1%), \u003cem\u003eAedes\u003c/em\u003e 177 (0.1%), and \u003cem\u003eCoquilletidia\u003c/em\u003e species 47 (0.03%). This information is presented in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eSummary of total number of mosquitoes collected using different traps\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"7\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMosquito species\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCDC-LT\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eDN-Trap\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eProkopack\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eResting bucket-NH\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eResting Bucket-NL\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eTotal (%)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eAn. gambiae\u003c/em\u003e s.l\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e22674\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e17143\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e1079\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1228\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e981\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e43,105 (27.7)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eAn. funestus\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e142\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e85\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e18\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e31\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e33\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e309 (0.2)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eAn. pharoensis\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e613\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1060\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1686 (1.1)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eAn. coustani\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1045\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e637\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1,705 (1.1)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eAn. squamosus\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1242\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e625\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1,872 (1.2)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTotal anophelines\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e25,716\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e19550\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e1,119\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1,265\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e1,027\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e48,677 (31.3)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eCulex\u003c/em\u003e spp.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e49871\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e43966\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e9008\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1554\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e694\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e105,093 (67.5)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eMansonia\u003c/em\u003e spp.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e658\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1033\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e40\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1,758 (1.1)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eAedes\u003c/em\u003e spp.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e91\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e76\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e177 (0.1)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eCoquilletidia\u003c/em\u003e spp.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e31\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e47 (0.03)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTotal culicines\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e50,629\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e45,106\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e9,028\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1,605\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e707\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e107,075 (68.7)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOverall\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e76,344\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e64,656\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e10,147\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e2,870\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e1,734\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e155,752 (100)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec15\" class=\"Section2\"\u003e \u003ch2\u003eCDC-LT\u0026thinsp;=\u0026thinsp;Centre for Disease Control and Prevention-Light trap, DN\u0026thinsp;=\u0026thinsp;Double net, NH\u0026thinsp;=\u0026thinsp;Near Houses, NL\u0026thinsp;=\u0026thinsp;Near Livestock pens\u003c/h2\u003e \u003cdiv id=\"Sec16\" class=\"Section3\"\u003e \u003ch2\u003eMolecular identification of mosquito species\u003c/h2\u003e \u003cp\u003eA total of 4,068 mosquitoes were submitted to the laboratory for mosquito identification of sibling species. Among all \u003cem\u003eAnopheles gambiae\u003c/em\u003e s.l. examined for sibling species identification, 98% (n\u0026thinsp;=\u0026thinsp;3,991) of these samples were successfully amplified. Almost all verified mosquitoes were \u003cem\u003eAnopheles arabiensis\u003c/em\u003e, except for one sample that was verified to be \u003cem\u003eAnopheles quadriannulatus\u003c/em\u003e collected from a house with livestock. A total of 81 \u003cem\u003eAn. funestus\u003c/em\u003e mosquitoes were analysed for sibling species composition, out of which 87% (n\u0026thinsp;=\u0026thinsp;67) were amplified. Out of these, 43 were identified as \u003cem\u003eAn. rivulorum\u003c/em\u003e, 21 were \u003cem\u003eAn. funestus\u003c/em\u003e sensu stricto (s.s.), and 3 were \u003cem\u003eAn. leesoni.\u003c/em\u003e\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec17\" class=\"Section2\"\u003e \u003ch2\u003eCommon livestock found in the study area\u003c/h2\u003e \u003cp\u003e During this study, most of the livestock corralled in the selected households were poultry (43%, n\u0026thinsp;=\u0026thinsp;267), followed by medium-sized animals (37.2%, n\u0026thinsp;=\u0026thinsp;231) which include sheep, goats, dogs, and pigs, small animals such as cats (1.3%, n\u0026thinsp;=\u0026thinsp;8) and large-sized animals, specifically cattle (18.5%, n\u0026thinsp;=\u0026thinsp;115). This is shown in Table \u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e. Small animals were not very common.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eNumber of livestock present in selected households understudy\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"3\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCategory\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAnimals\u0026rsquo; types\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTotal (%)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLarge size\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCattle\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e115 (18.5)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"3\" rowspan=\"4\"\u003e \u003cp\u003eMedium size\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eSheep\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e65 (10.5)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eGoats\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e78 (12.6)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eDogs\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e30 (4.8)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePigs\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e58 (9.3)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSmall size\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCats\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e8 (1.3)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePoultry\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eChicken\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e267 (43)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTotal\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e621\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec18\" class=\"Section2\"\u003e \u003ch2\u003eAbundance of Host-Seeking Mosquitoes in Houses with and Without Livestock\u003c/h2\u003e \u003cp\u003eThe mean number of \u003cem\u003eAn. gambiae\u003c/em\u003e s.l. host-seeking mosquitoes collected by CDC-light traps indoors in houses with livestock was 38.9\u0026thinsp;\u0026plusmn;\u0026thinsp;2.32 SE, while in houses without livestock, the mean catches were 35.3\u0026thinsp;\u0026plusmn;\u0026thinsp;2.54 SE (Fig.\u0026nbsp;4). The mean catches for indoor collection of \u003cem\u003eAn. funestus\u003c/em\u003e host-seeking mosquitoes in houses with livestock were 0.354\u0026thinsp;\u0026plusmn;\u0026thinsp;0.048 SE, while in houses with no livestock, the mean catch was 0.144\u0026thinsp;\u0026plusmn;\u0026thinsp;0.029 SE (Fig.\u0026nbsp;4).\u003c/p\u003e \u003cp\u003eFor outdoor collection, the mean number of \u003cem\u003eAn. gambiae\u003c/em\u003e collected in houses with livestock was 24.6\u0026thinsp;\u0026plusmn;\u0026thinsp;1.73 SE, while in houses without livestock, the mean catch was 31.9\u0026thinsp;\u0026plusmn;\u0026thinsp;2.33 SE (Fig.\u0026nbsp;4). The outdoor mean catch of \u003cem\u003eAn. funestus\u003c/em\u003e in houses with livestock was 0.228\u0026thinsp;\u0026plusmn;\u0026thinsp;0.038 SE, while for houses without livestock, the mean catch was 0.129\u0026thinsp;\u0026plusmn;\u0026thinsp;0.028 SE (Fig.\u0026nbsp;4).\u003c/p\u003e \u003cp\u003e \u003cstrong\u003eFigure 4\u003c/strong\u003e \u003cp\u003eDensity of host-seeking malaria vectors in houses with and without livestock\u003c/p\u003e \u003c/p\u003e \u003cp\u003eThere was a slight increase in the mean number of \u003cem\u003eAn. gambiae\u003c/em\u003e s.l mosquitoes in houses with livestock from January to April, but it was somehow constant in houses without livestock. However, for the other \u003cem\u003eAnopheles\u003c/em\u003e species, an increase in mosquito density was observed in houses with and without livestock between January and April (Fig.\u0026nbsp;5).\u003c/p\u003e \u003cp\u003e \u003cstrong\u003eFigure 5\u003c/strong\u003e \u003cp\u003eTrend of mosquito density in houses with and without livestock in different months during the study period.\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003cb\u003eAbundance of Resting\u003c/b\u003e \u003cb\u003eAnopheles\u003c/b\u003e \u003cb\u003eMosquitoes in Houses with and Without Livestock\u003c/b\u003e\u003c/p\u003e \u003cp\u003eMore resting mosquitoes were collected indoors and outdoors from houses with livestock compared to houses with no livestock. The mean number of \u003cem\u003eAn. gambiae\u003c/em\u003e s.l mosquitoes collected indoors from houses with livestock was 2.50\u0026thinsp;\u0026plusmn;\u0026thinsp;0.416 SE (Fig.\u0026nbsp;6), while in houses without livestock, the mean number of \u003cem\u003eAn. gambiae\u003c/em\u003e s.l. mosquitoes were 1.11\u0026thinsp;\u0026plusmn;\u0026thinsp;0.243 SE. For outdoor collections, the mean number of \u003cem\u003eAn. gambiae\u003c/em\u003e s.l. mosquitoes collected from houses with livestock was 2.87\u0026thinsp;\u0026plusmn;\u0026thinsp;0.355 SE, while in houses without livestock, the mean number of \u003cem\u003eAn. gambiae\u003c/em\u003e s.l. mosquitoes were 1.06\u0026thinsp;\u0026plusmn;\u0026thinsp;0.194 SE (Fig.\u0026nbsp;6). The mean numbers of other resting malaria vectors, such as \u003cem\u003eAn. funestus, An. coustani, An. pharoensis, and An. squamosus were\u003c/em\u003e marginally less than zero indoors and outdoors. Thus, \u003cem\u003eAn. gambiae\u003c/em\u003e s.l. mosquitoes were the most abundant malaria vectors indoors and outdoors. As it is shown in Fig.\u0026nbsp;6, the indoor and outdoor collections of \u003cem\u003eAn. gambiae\u003c/em\u003e s.l. and \u003cem\u003eAn. funestus\u003c/em\u003e shows that there were more mosquitoes resting in households with livestock than in houses with no livestock.\u003c/p\u003e \u003cp\u003e \u003cstrong\u003eFigure 6\u003c/strong\u003e \u003cp\u003eDensity of resting malaria vectors in houses with and without livestock\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003cb\u003eImpact of Livestock on\u003c/b\u003e \u003cb\u003eAnopheles gambiae\u003c/b\u003e \u003cb\u003es.l density\u003c/b\u003e\u003c/p\u003e \u003cp\u003eThe indoor density of \u003cem\u003eAn. gambiae\u003c/em\u003e s.l. increased significantly in households with 11\u0026ndash;15 cows (RR\u0026thinsp;=\u0026thinsp;2.5300, 95% CI: 1.225\u0026ndash;5.244, \u003cem\u003ep\u0026thinsp;=\u0026thinsp;0.012)\u003c/em\u003e, more than 5 goats (RR\u0026thinsp;=\u0026thinsp;2.656, 95% CI: 1.066\u0026ndash;6.619, \u003cem\u003ep\u0026thinsp;=\u0026thinsp;0.001)\u003c/em\u003e, 3\u0026ndash;4 dogs (RR\u0026thinsp;=\u0026thinsp;2.086, 95% CI: 1.268\u0026ndash;3.432, \u003cem\u003ep\u0026thinsp;=\u0026thinsp;0.004)\u003c/em\u003e, 11\u0026ndash;20 chickens (RR\u0026thinsp;=\u0026thinsp;2.18, 95% CI: 1.250\u0026ndash;3.803, p\u0026thinsp;=\u0026thinsp;\u003cem\u003e0.006)\u003c/em\u003e, and more than 20 chickens (RR\u0026thinsp;=\u0026thinsp;1.9214, 95% CI: 1.0344\u0026ndash;3.5689, \u003cem\u003ep\u0026thinsp;=\u0026thinsp;0.039)\u003c/em\u003e (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). A decrease in \u003cem\u003eAn. gambiae\u003c/em\u003e s.l catches was revealed to be associated with the presence of 1 to 3 pigs (RR\u0026thinsp;=\u0026thinsp;0.3444, 95% CI: 0.1909\u0026ndash;0.9886, \u003cem\u003ep\u0026thinsp;=\u0026thinsp;0.047)\u003c/em\u003e and more than 10 pigs (RR\u0026thinsp;=\u0026thinsp;0.3344, 95% CI: 0.1164\u0026ndash;0.9495, \u003cem\u003ep\u0026thinsp;=\u0026thinsp;0.040)\u003c/em\u003e (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe outdoor density of \u003cem\u003eAn. gambiae\u003c/em\u003e s.l. was 2 times higher in houses with 11 to 15 cows than in houses with no cows (RR\u0026thinsp;=\u0026thinsp;2.059, 95% CI: 1.056\u0026ndash;4.015, \u003cem\u003ep\u0026thinsp;=\u0026thinsp;0.034).\u003c/em\u003e The presence of more than 5 sheep increased the number of \u003cem\u003eAn. gambiae\u003c/em\u003e s.l. mosquitoes approximately 2 times more than households with no sheep (RR\u0026thinsp;=\u0026thinsp;1.840, 95% CI: 1.091\u0026ndash;3.100, \u003cem\u003ep\u0026thinsp;=\u0026thinsp;0.022).\u003c/em\u003e Likewise, a significant increase in \u003cem\u003eAn. gambiae\u003c/em\u003e s.l. density was observed when there were more than 2 dogs; the mosquito density increased almost 2 times more indoors (RR\u0026thinsp;=\u0026thinsp;2.086,95%CI: 1.268\u0026ndash;3.432, \u003cem\u003ep\u0026thinsp;=\u0026thinsp;0.004\u003c/em\u003e) and outdoors (RR\u0026thinsp;=\u0026thinsp;1.610, 95% CI: 1.017\u0026ndash; 2.550, \u003cem\u003ep\u0026thinsp;=\u0026thinsp;0.042)\u003c/em\u003e than households with no dogs. Thus, in outdoor collections, only cattle, sheep, and dogs were significantly associated with the increase in the number of \u003cem\u003eAn. gambiae\u003c/em\u003e s.l. mosquitoes, but not goats, pigs, or chickens, which had an impact on indoor density (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eStatistical significance of the impact of the number of livestock on the number of \u003cem\u003eAn. gambiae\u003c/em\u003e s.l. mosquitoes in houses with and without livestock indoors and outdoors\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"8\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003eIndoor\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e \u003cp\u003eOutdoor\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLivestock type\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNumber of livestock\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eRR\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eCI\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cem\u003ep\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eRR\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eCI\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u003cem\u003ep\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCattle\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNo cattle\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u0026ndash;5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.377\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.640\u0026ndash;2.962\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.414\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.523\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.274\u0026ndash;1.001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1.050\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6\u0026ndash;10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.296\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.756\u0026ndash;2.219\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.346\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.283\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.800\u0026ndash;2.059\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.301\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e11\u0026ndash;15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.535\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.225\u0026ndash;5.244\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.012\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e2.059\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.056\u0026ndash;4.015\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.034\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSheep\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNo sheep\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u0026ndash;5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.548\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.608\u0026ndash;0.687\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.201\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e3.091\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.888\u0026ndash;10.758\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.076\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAbove 5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.508\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.424\u0026ndash;4.415\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.840\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.091- 3.100\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.022\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGoat\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNo goat\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u0026ndash;5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.414\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.659\u0026ndash;3.031\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.374\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.149\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.615\u0026ndash;2.146\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.663\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAbove 5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.656\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.066\u0026ndash;6.619\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.036\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.554\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.646\u0026ndash;3.741\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.325\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePig\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNo pig\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u0026ndash;5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.434\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.191\u0026ndash;0.989\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.047\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.520\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.267\u0026ndash;1.014\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.055\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6\u0026ndash;10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.612\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.510\u0026ndash;5.090\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.416\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.5314\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.178\u0026ndash;1.587\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.257\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAbove 10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.332\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.116\u0026ndash;0.950\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.040\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.5518\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.196\u0026ndash;1.556\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.261\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDog\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNo dog\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u0026ndash;2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.420\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.613\u0026ndash;3.286\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.413\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.791\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.368\u0026ndash;1.698\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.547\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3\u0026ndash;4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.086\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.268\u0026ndash;3.432\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.004\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.610\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.017\u0026ndash;2.550\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.042\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eChicken\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNo chicken\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u0026ndash;10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.018\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.355\u0026ndash;2.923\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.974\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.564\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.232\u0026ndash;1.373\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.205\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e11\u0026ndash;20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.180\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.250\u0026ndash;3.803\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.006\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.931\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.561\u0026ndash;1.546\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.783\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAbove 20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.921\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.034\u0026ndash;3.569\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.039\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.632\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.970\u0026ndash;2.747\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.065\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec19\" class=\"Section2\"\u003e \u003ch2\u003eRate ratio, CI\u0026thinsp;=\u0026thinsp;95% confidence interval, p\u0026thinsp;=\u0026thinsp;p-value, Ref\u0026thinsp;=\u0026thinsp;Reference category\u003c/h2\u003e \u003cp\u003e \u003cb\u003eImpact of livestock on\u003c/b\u003e \u003cb\u003eAnopheles funestus\u003c/b\u003e \u003cb\u003edensity\u003c/b\u003e\u003c/p\u003e \u003cp\u003eThe indoor density of \u003cem\u003eAn. funestus\u003c/em\u003e mosquitoes increased significantly when there were 1 to 5 cows (RR\u0026thinsp;=\u0026thinsp;3.438, 95% CI: 1.3418\u0026ndash;8.8098, \u003cem\u003ep\u0026thinsp;=\u0026thinsp;0.010)\u003c/em\u003e and 11 to 15 cows (RR\u0026thinsp;=\u0026thinsp;2.257, 95% CI: 1.623\u0026ndash;11.590, \u003cem\u003ep\u0026thinsp;=\u0026thinsp;0.004)\u003c/em\u003e (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). Likewise, the presence of more than 10 chickens, for instance, 11 to 15 (RR\u0026thinsp;=\u0026thinsp;6.003, 95% CI: 2.227\u0026ndash;16.180, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001) and more than 20 chickens (RR\u0026thinsp;=\u0026thinsp;3.055, 95% CI: 1.188\u0026ndash;7.555, \u003cem\u003ep\u0026thinsp;=\u0026thinsp;0.021)\u003c/em\u003e, increased indoor \u003cem\u003eAn. funestus\u003c/em\u003e densities (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). The number of sheep, goats, and pigs did not have a significant impact on the number of \u003cem\u003eAn. funestus\u003c/em\u003e collected indoors (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026gt;\u0026thinsp;0.05).\u003c/p\u003e \u003cp\u003eThe outdoor collection number of \u003cem\u003eAn. funestus\u003c/em\u003e mosquitoes increased when there were 11 to 15 cows (RR\u0026thinsp;=\u0026thinsp;3.279, 95% CI: 1.404\u0026ndash;7.660, \u003cem\u003ep\u0026thinsp;=\u0026thinsp;0.006)\u003c/em\u003e, more than 5 sheep (RR\u0026thinsp;=\u0026thinsp;3.001, 95% CI: 1.582\u0026ndash;5.692, \u003cem\u003ep\u0026thinsp;=\u0026thinsp;0.002)\u003c/em\u003e, 3 to 4 dogs (RR\u0026thinsp;=\u0026thinsp;2.277, 95% CI: 1.273\u0026ndash;4.073, \u003cem\u003ep\u0026thinsp;=\u0026thinsp;0.006)\u003c/em\u003e, and above 20 chickens (RR\u0026thinsp;=\u0026thinsp;2.541, 95% CI: 1.378\u0026ndash;4.687, \u003cem\u003ep\u0026thinsp;=\u0026thinsp;0.003).\u003c/em\u003e The number of goats and pigs did not significantly influence the number of \u003cem\u003eAn. funestus\u003c/em\u003e mosquitoes outdoors (p\u0026thinsp;\u0026gt;\u0026thinsp;0.05) (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eStatistical significance of the impact of the number of livestock on the number of \u003cem\u003eAn. funestus\u003c/em\u003e mosquitoes in houses with and without livestock indoors and outdoors\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"8\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eIndoor\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eOutdoor\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLivestock composition\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNumber of livestock\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eRR\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eCI\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cem\u003ep\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eRR\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eCI\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u003cem\u003ep\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"3\" rowspan=\"4\"\u003e \u003cp\u003eCattle\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNo cattle\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u0026ndash;5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.438\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.342\u0026ndash;8.810\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.010\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.498\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.651\u0026ndash;3.446\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.342\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6\u0026ndash;10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.201\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.526\u0026ndash;2.746\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.664\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.420\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.716\u0026ndash;2.795\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.310\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e11\u0026ndash;15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.257\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.623\u0026ndash;11.590\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.004\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e3.279\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.404\u0026ndash;7.660\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.006\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eSheep\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNo sheep\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u0026ndash;5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e4.650\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.664\u0026ndash;32.555\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.122\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e2.742\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.705\u0026ndash;10.656\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.145\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAbove 5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.490\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.939\u0026ndash;5.637\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.081\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e3.001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.582\u0026ndash;5.692\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.002\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eGoat\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNo goat\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u0026ndash;5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.562\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.487\u0026ndash;5.014\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.454\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.401\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.621\u0026ndash;3.163\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.417\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAbove 5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.322\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.267\u0026ndash;6.532\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.732\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.439\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.429\u0026ndash;4.828\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.554\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"3\" rowspan=\"4\"\u003e \u003cp\u003ePig\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNo pig\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u0026ndash;5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.876\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.206\u0026ndash;3.735\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.858\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.904\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.322\u0026ndash;2.542\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.849\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6\u0026ndash;10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e8.261\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.143\u0026ndash;9.691\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.036\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.414\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.320\u0026ndash;3.240\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.648\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAbove 10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.604\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.086\u0026ndash;4.250\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.612\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.053\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.243\u0026ndash;4.558\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.945\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eDog\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNo dog\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u0026ndash;2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.863\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.902\u0026ndash;9.090\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.074\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.942\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.332\u0026ndash;2.672\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.911\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3\u0026ndash;4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.983\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.927\u0026ndash;4.241\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.078\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e2.277\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.273\u0026ndash;4.073\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.006\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"3\" rowspan=\"4\"\u003e \u003cp\u003eChicken\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNo chicken\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u0026ndash;10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.823\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.358\u0026ndash;9.272\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.469\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.394\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.079\u0026ndash;1.982\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.259\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e11\u0026ndash;20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e6.003\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.227\u0026ndash;16.180\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.108\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.487\u0026ndash;2.518\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.807\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAbove 20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.055\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.188\u0026ndash;7.855\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.021\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e2.541\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.378\u0026ndash;4.687\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.003\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec20\" class=\"Section2\"\u003e \u003ch2\u003eRR\u0026thinsp;=\u0026thinsp;Rate ratio, CI\u0026thinsp;=\u0026thinsp;95% confidence interval, p\u0026thinsp;=\u0026thinsp;p-value\u003c/h2\u003e \u003cdiv id=\"Sec21\" class=\"Section3\"\u003e \u003ch2\u003eDistance between houses and livestock pens and mosquito density\u003c/h2\u003e \u003cp\u003eThe distance between livestock pens and houses did not have an impact on the mosquito density in all species except for \u003cem\u003eAn. coustani\u003c/em\u003e, where the mosquito density at a distance of 30 metres was significantly less than the density at a distance of less than 11 metres (Table\u0026nbsp;7). This means that there was a high density of mosquitoes in houses where the distance between houses and livestock pens was less than or equal to 10 compared to 11\u0026ndash;20 metres (RR\u0026thinsp;=\u0026thinsp;0.113, 95% CI: 0.022\u0026ndash;0.588, \u003cem\u003ep\u0026thinsp;=\u0026thinsp;0.010)\u003c/em\u003e (Table\u0026nbsp;7).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab5\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 8\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eThe effect of distance between livestock pens and houses to the indoor density of \u003cem\u003eAnopheles\u003c/em\u003e mosquitoes\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"5\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSpecies\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eDistance (meters)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eRR\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eCI\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cem\u003ep\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eAn. gambiae\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u0026ndash;10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e11\u0026ndash;20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.703\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.361\u0026ndash;1.372\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.302\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e21\u0026ndash;30\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.374\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.549\u0026ndash;3.442\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.497\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAbove 30\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.608\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.137\u0026ndash;2.701\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.514\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"3\" rowspan=\"4\"\u003e \u003cp\u003e\u003cem\u003eAn. funestus\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u0026ndash;10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e11\u0026ndash;20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.688\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.332\u0026ndash;1.426\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.315\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e21\u0026ndash;30\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.126\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.440\u0026ndash;2.879\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.804\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAbove 30\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.361\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.061\u0026ndash;2.134\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.261\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"3\" rowspan=\"4\"\u003e \u003cp\u003e\u003cem\u003eAn. pharoensis\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u0026ndash;10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e11\u0026ndash;20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.185\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.030\u0026ndash;1.147\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.070\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e21\u0026ndash;30\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.934\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.095\u0026ndash;9.185\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.953\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAbove 30\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.178\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.004\u0026ndash;8.172\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.376\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"3\" rowspan=\"4\"\u003e \u003cp\u003e\u003cem\u003eAn. coustani\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u0026ndash;10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e11\u0026ndash;20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.113\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.022\u0026ndash;0.588\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.010\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e21\u0026ndash;30\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.208\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.024\u0026ndash;1.813\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.155\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAbove 30\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.098\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.003\u0026ndash;3.151\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.189\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"3\" rowspan=\"4\"\u003e \u003cp\u003e\u003cem\u003eAn. squamosus\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u0026ndash;10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e11\u0026ndash;20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.262\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.038\u0026ndash;1.811\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.174\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e21\u0026ndash;30\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.268\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.019\u0026ndash;3.829\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.332\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAbove 30\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.553\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.012\u0026ndash;24.516\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.760\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec22\" class=\"Section2\"\u003e \u003ch2\u003eRR\u0026thinsp;=\u0026thinsp;Rate Ratio, CI\u0026thinsp;=\u0026thinsp;95% Confidence Interval, p\u0026thinsp;=\u0026thinsp;p-value\u003c/h2\u003e \u003cdiv id=\"Sec23\" class=\"Section3\"\u003e \u003ch2\u003eBlood Meal Sources in Livestock-Keeping and Non-Livestock-Keeping Households\u003c/h2\u003e \u003cp\u003eA sub-sample of 2,066 female blood-fed \u003cem\u003eAn. gambiae\u003c/em\u003e s.l. mosquitoes were submitted for ELISA blood meal analysis. The overall identification for blood meal was 76.6% (n\u0026thinsp;=\u0026thinsp;1,583). In houses with livestock, 747 (71.6%) \u003cem\u003eAn. gambiae\u003c/em\u003e s.l. mosquitoes were positive for bovine blood, 225 (21.6%) for human blood only, 1 for goat, 1 for chicken, 45 for mixed blood meal for human and bovine, 4 for mixed blood meal of human, chicken, and bovine, 1 for chicken blood, 4 for mixed blood meals for human and goat, and 4 for mixed blood meal for human and chicken (Table\u0026nbsp;9). In houses with no livestock, 363 \u003cem\u003eAn. gambiae\u003c/em\u003e mosquitoes amplified positively for human blood and 159 for bovine blood. Only 11 mosquitoes had a mixture of human and bovine blood; 2 mosquitoes had a mixed blood meal of human and goat; 2 mosquitoes had chicken blood; and 1 mosquito had a mixture of human, bovine, and chicken blood (Table\u0026nbsp;9). Generally, only 27% of \u003cem\u003eAn. gambiae\u003c/em\u003e s.l. mosquitoes were detected with human blood in households with livestock while 69.9% of mosquitoes from households with no livestock fed on human blood.\u003c/p\u003e \u003cp\u003eThat you present the narration in this section comparatively:\u003c/p\u003e \u003ctable id=\"Tab6\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 10\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eBlood indices of different hosts from \u003cem\u003eAnopheles gambiae\u003c/em\u003e mosquitoes\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" style=\"width: 16.012%;\"\u003e\n \u003cp\u003eHosts Blood\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" style=\"width: 19.4621%;\"\u003e\n \u003cp\u003eWith Livestock (n\u0026thinsp;=\u0026thinsp;1044)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"2\" style=\"width: 19.6211%;\"\u003e\n \u003cp\u003eWithout Livestock (n\u0026thinsp;=\u0026thinsp;539)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"2\" style=\"width: 23.6289%;\"\u003e\n \u003cp\u003eOverall (n\u0026thinsp;=\u0026thinsp;1583)\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 16.012%;\"\u003e\n \u003cp\u003eBovine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 15.7466%;\"\u003e\n \u003cp\u003e747 (71.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\" style=\"width: 19.6211%;\"\u003e\n \u003cp\u003e159 (29.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\" style=\"width: 23.6289%;\"\u003e\n \u003cp\u003e906 (57.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 16.012%;\"\u003e\n \u003cp\u003eBovine\u0026thinsp;+\u0026thinsp;Chicken\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 15.7466%;\"\u003e\n \u003cp\u003e2 (0.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\" style=\"width: 19.6211%;\"\u003e\n \u003cp\u003e1 (0.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\" style=\"width: 23.6289%;\"\u003e\n \u003cp\u003e3 (0.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 16.012%;\"\u003e\n \u003cp\u003eChicken\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 15.7466%;\"\u003e\n \u003cp\u003e1 (0.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\" style=\"width: 19.6211%;\"\u003e\n \u003cp\u003e2 (0.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\" style=\"width: 23.6289%;\"\u003e\n \u003cp\u003e3 (0.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 16.012%;\"\u003e\n \u003cp\u003eGoat\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 15.7466%;\"\u003e\n \u003cp\u003e13 (1.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\" style=\"width: 19.6211%;\"\u003e\n \u003cp\u003e0 (0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\" style=\"width: 23.6289%;\"\u003e\n \u003cp\u003e13 (0.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 16.012%;\"\u003e\n \u003cp\u003eHuman\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 15.7466%;\"\u003e\n \u003cp\u003e225 (21.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\" style=\"width: 19.6211%;\"\u003e\n \u003cp\u003e363 (67.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\" style=\"width: 23.6289%;\"\u003e\n \u003cp\u003e588 (37.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 16.012%;\"\u003e\n \u003cp\u003eHuman\u0026thinsp;+\u0026thinsp;Bovine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 15.7466%;\"\u003e\n \u003cp\u003e45 (4.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\" style=\"width: 19.6211%;\"\u003e\n \u003cp\u003e11 (2.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\" style=\"width: 23.6289%;\"\u003e\n \u003cp\u003e56 (3.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 16.012%;\"\u003e\n \u003cp\u003eHuman\u0026thinsp;+\u0026thinsp;Bovine\u0026thinsp;+\u0026thinsp;Chicken\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 15.7466%;\"\u003e\n \u003cp\u003e4 (0.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\" style=\"width: 19.6211%;\"\u003e\n \u003cp\u003e1 (0.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\" style=\"width: 23.6289%;\"\u003e\n \u003cp\u003e5 (0.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 16.012%;\"\u003e\n \u003cp\u003eHuman\u0026thinsp;+\u0026thinsp;Chicken\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 15.7466%;\"\u003e\n \u003cp\u003e4 (0.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\" style=\"width: 19.6211%;\"\u003e\n \u003cp\u003e0 (0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\" style=\"width: 23.6289%;\"\u003e\n \u003cp\u003e4 (0.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" style=\"width: 16.012%;\"\u003e\n \u003cp\u003eHuman\u0026thinsp;+\u0026thinsp;Goat\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" style=\"width: 15.7466%;\"\u003e\n \u003cp\u003e3 (0.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\" style=\"width: 19.6211%;\"\u003e\n \u003cp\u003e2 (0.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\" style=\"width: 23.6289%;\"\u003e\n \u003cp\u003e5 (0.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e \u003cp\u003eIndoors, more than 85% of mosquitoes collected indoors in households that have livestock have bovine blood, suggesting that they feed on cows and come indoors to rest (Fig.\u0026nbsp;8). Also, in households without livestock, more than 60% of mosquitoes have human blood meal, suggesting that the mosquitoes feed on humans only when there are no animals. This suggests zooprophylaxis. In the outdoors, the majority of the mosquitoes (approximately 75%) in households with livestock had bovine blood meal, suggesting that the livestock attract the mosquitoes outside. In households without livestock, the majority of the mosquitoes had human blood meal, as shown in Fig.\u0026nbsp;7.\u003c/p\u003e \u003cp\u003e \u003cstrong\u003eFigure 7\u003c/strong\u003e \u003cp\u003eProportion of blood meal detected from blood fed \u003cem\u003eAn. gambiae\u003c/em\u003e s.l. indoors and outdoors\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003cb\u003eImpact of livestock on\u003c/b\u003e \u003cb\u003eAnopheles gambiae\u003c/b\u003e \u003cb\u003es.l. mosquitoes\u0026rsquo; ability to acquire human blood\u003c/b\u003e\u003c/p\u003e \u003cp\u003eThe presence of livestock increased the chance of mosquitoes to feed from other hosts to 7 times more (OR\u0026thinsp;=\u0026thinsp;7.145, 95% CI: 5.618\u0026ndash;9.086, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001) than obtaining human blood (Table\u0026nbsp;\u003cspan refid=\"Tab7\" class=\"InternalRef\"\u003e11\u003c/span\u003e), while mosquitoes were able to obtain a mixed blood of humans from other hosts 6 (OR\u0026thinsp;=\u0026thinsp;6.350, 95% CI: 3.449\u0026ndash;11.694, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001) times more than human blood in houses with livestock than houses with no livestock when adjusted to location. This indicates that in households with livestock, there is a high chance of mosquitoes feeding on other hosts other than human blood. Outdoors, mosquitoes were less likely to obtain other hosts\u0026rsquo; blood than human blood (OR\u0026thinsp;=\u0026thinsp;0.369, 95% CI: 0.260\u0026ndash;0.522, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001) when adjusted to the household\u0026rsquo;s livestock status (Table\u0026nbsp;\u003cspan refid=\"Tab6\" class=\"InternalRef\"\u003e10\u003c/span\u003e). This indicates that mosquitoes were able to obtain more human blood meals indoors than outdoors.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab7\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 11\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eImpact of household\u0026rsquo;s livestock status and location on mosquito ability to feed on human\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"8\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eVariable\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eCategory\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"6\" nameend=\"c8\" namest=\"c3\"\u003e \u003cp\u003eHuman blood as a reference\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"3\" nameend=\"c5\" namest=\"c3\"\u003e \u003cp\u003eOther hosts\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"3\" nameend=\"c8\" namest=\"c6\"\u003e \u003cp\u003eMixed (Human\u0026thinsp;+\u0026thinsp;Other)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eOR\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eCI\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cem\u003ep\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eOR\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eCI\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u003cem\u003ep\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eLivestock status\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNo livestock\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eWith livestock\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e7.145\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e5.618\u0026ndash;9.086\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e6.350\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e3.449\u0026ndash;11.694\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eLocation\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eIndoor\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eOutdoor\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.369\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.260\u0026ndash;0.522\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.710\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.339\u0026ndash;1.490\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.365\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec24\" class=\"Section2\"\u003e \u003ch2\u003eOR\u0026thinsp;=\u0026thinsp;Odds ratios, CI\u0026thinsp;=\u0026thinsp;95%Confidence interval, p\u0026thinsp;=\u0026thinsp;p-value\u003c/h2\u003e \u003cdiv id=\"Sec25\" class=\"Section3\"\u003e \u003ch2\u003eQualitative assessment of knowledge and perceptions of community members about mosquitoes and malaria transmission\u003c/h2\u003e \u003cdiv id=\"Sec26\" class=\"Section4\"\u003e \u003ch2\u003eDemographic description of participants\u003c/h2\u003e \u003cp\u003eA total of 20 household representatives participated in the IDIs. The demographic characteristics of the participants are provided in Table\u0026nbsp;\u003cspan refid=\"Tab8\" class=\"InternalRef\"\u003e12\u003c/span\u003e.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab8\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 12\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003e\u003cem\u003eDemographic information of the study participants\u003c/em\u003e\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"2\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVariable\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003e% (n)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eGender\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFemale\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e60 (12)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMale\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e40 (8)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAge group\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e18\u0026ndash;29 Years\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e40 (8)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e30\u0026ndash;39 Years\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e40 (6)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e40\u0026ndash;49 Years\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e15 (3)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e50 Years and above\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e15 (3)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eMarital status\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMarried/Cohabited\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e60 (12)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUnmarried\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e35 (7)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eWidowed\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5 (1)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eEducational status\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNo formal education\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e25 (5)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePrimary\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e50 (10)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSecondary and above\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e25(5)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eMain occupation\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFarmer\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e95 (19)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBusiness\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5 (1)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eHousehold size\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e1\u0026ndash;3 people\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e30(6)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e4\u0026ndash;6 people\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e35 (7)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAbove 6 people\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e35 (7)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec27\" class=\"Section3\"\u003e \u003ch2\u003eValues are reported as %(n)\u003c/h2\u003e \u003cdiv id=\"Sec28\" class=\"Section4\"\u003e \u003ch2\u003eKnowledge about mosquitoes and diseases they transmit\u003c/h2\u003e \u003cp\u003eThe majority of the participants in the IDIs understood about mosquitoes (90%) and their habitats (85%) but could not identify them by species level (100%). However, all respondents were able to differentiate them by looking at their physical appearance and colours. The participants knew some of the diseases transmitted by mosquitoes and how those diseases are transmitted from mosquitoes to humans. Malaria was the most mentioned disease by all the participants among all mosquito-borne diseases. The majority of participants sought services in health care centres (85%), but a few participants reported self-medicating (15%). This is shown by the participants below:\u003c/p\u003e \u003cp\u003e\"\u003cem\u003eWhat I know about mosquitoes is that these are insects that transmit diseases such as malaria and lymphatic filariasis.\"\u003c/em\u003e (Female, 34 years)\u003c/p\u003e \u003cp\u003e \u003cem\u003e\"I have heard that there is a mosquito called Anopheles that is responsible for malaria transmission.\"\u003c/em\u003e (Female, 44 years)\u003c/p\u003e \u003cp\u003e\"The \u003cem\u003echallenge is that this disease (malaria) is re-emerging because mosquitoes are always here. This causes people to be unable to perform their activities, especially when they are ill and sleeping. For us, finding a daily income and covering hospital expenses is very challenging.\"\u003c/em\u003e (Female, 62 years)\u003c/p\u003e \u003cp\u003e \u003cem\u003e\u0026ldquo;Mosquitoes are found in a variety of habitats; they first lay their eggs in a wet environment, and when they learn to fly, I believe they migrate to populated areas in search of blood.\u0026rdquo;\u003c/em\u003e (Female, 28 years)\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec29\" class=\"Section2\"\u003e \u003ch2\u003eKnowledge on mosquito biting behaviour and mosquito control\u003c/h2\u003e \u003cp\u003eThe majority of the participants reported staying outside before going to sleep (90%) since some of their houses were so small that they only used them for sleeping. Also, all participants responded that they were being bitten by mosquitoes both indoors and outdoors, especially from 7 to 10 p.m. They indicated that they usually sleep around 9:00 p.m. and wake up around 5:00 a.m. They also said there is a large mosquito density outdoors compared to indoors (60%). Almost all participants (95%) reported that malaria incidences keep decreasing every year due to the use of mosquito control interventions, particularly bed nets. They also reported that other vector control tools should be added in line with mosquito bed nets to maximise protection against vector-borne diseases. Examples of these responses are well illustrated by the participants below:\u003c/p\u003e \u003cp\u003e\"\u003cem\u003eUsually, there are a lot of mosquitoes when I'm outside, and even when I'm inside, there are a lot of mosquitoes as well. As you can see, because of the numerous openings throughout our house, mosquitoes can easily get inside.\u0026rdquo;\u003c/em\u003e (Female, 28 years)\u003c/p\u003e \u003cp\u003e \u003cem\u003e\"Depending on the tasks we have to complete, we occasionally go to bed early and occasionally stay up late. This causes a change in our sleeping patterns from day to day. The majority of the time, if we can get to bed early, we sleep at nine o'clock; however, if we are late, we sleep at twelve.\"\u003c/em\u003e (Female, 24 years)\u003c/p\u003e \u003cp\u003e \u003cem\u003e\"Malaria cases have been decreasing to a large extent because significant efforts have been made to ensure that every family member sleeps under a bed net.\"\u003c/em\u003e (Male, 31 years)\u003c/p\u003e \u003cp\u003e \u003cem\u003e\"We only use bed nets because we don\u0026rsquo;t have the ability to buy other interventions to protect ourselves from mosquitoes. We sleep very early because our houses are small; if you stay outside, there are many mosquitoes.\"\u003c/em\u003e (Female, 23 years)\u003c/p\u003e \u003cp\u003e \u003cem\u003e\"I heard that there are special insecticides to spray on mosquito breeding habitats. I think this will help to crush the mosquito population to a large extent.\"\u003c/em\u003e (Male, 27 years)\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eLivestock-keeping practices and distance between houses and livestock enclosures\u003c/h3\u003e\n\u003cp\u003eThe majority of participants (75%) reported that livestock such as cows, pigs, and goats were kept outside the houses, while most chickens were kept inside the houses, sometimes sleeping in the same rooms with people. The distances from the houses and livestock enclosure were reported to range between 5 and 30 metres. The number of livestock ranges between 3 and 50 per household, depending on the category of animals kept, as illustrated by the following participants:\u003c/p\u003e \u003cp\u003e\"In \u003cem\u003ethis village, animals like cows, goats, pigs, and sheep are normally kept outdoors, but chickens are kept indoors because they are stolen by thieves during the night, especially in the rainy season.\"\u003c/em\u003e (Male, 27 years)\u003c/p\u003e \u003cp\u003e \u003cem\u003e\"From livestock sheds to houses, it's like 5 metres; if livestock sheds are very far from houses, it is difficult to hear thieves when they wish to steal our animals, and that is a basic reason why we keep animals near homesteads.\"\u003c/em\u003e (Female, 44 years)\u003c/p\u003e \u003cdiv id=\"Sec31\" class=\"Section2\"\u003e \u003ch2\u003eTypes of pesticides used to treat animals\u003c/h2\u003e \u003cp\u003e All participants reported to clean places where they keep their livestock often, and they also reported to clean their animals using pesticides. They reported the use of pesticides to protect their animals against animal diseases and also added that even the rest of the community do the same. They usually treat their animals at least once every two weeks; unfortunately, most of them (70%) fail to mention the name of the pesticide they usually use, and few participants (25%) mentioned \u0026lsquo;\u003cem\u003eparanex\u0026rsquo;\u003c/em\u003e as their priority among the pesticides. They also reported that treating the animals with pesticides reduced mosquito density in a few days (55%). This is illustrated by the participants as follows:\u003c/p\u003e \u003cp\u003e \u003cem\u003e\"Animals like cows are brought to the pasture and led through a mixture of water and insecticides, but we also occasionally spray them with pesticides right here on the farm. We normally spray it with insecticides every week or every two weeks.\u0026rdquo;\u003c/em\u003e (Female, 44 years)\u003c/p\u003e \u003cp\u003e \u003cem\u003e\"Once the insecticide is sprayed on the day we spray for mosquitoes, the insects truly vanish. For about three days, there won't be any mosquito activity, and even if you remain outside, you'll be able to see that there are none. I believe another contributing factor is the smell of the pesticides. The strength of the pesticides seems to weaken the mosquitoes on the day of the spraying, but once it wears off, they return in the same manner.\u0026rdquo;\u003c/em\u003e (Female, 49 years)\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec32\" class=\"Section2\"\u003e \u003ch2\u003eRelationship between malaria transmission and livestock keeping\u003c/h2\u003e \u003cp\u003eThis study found that some of the participants understood the relationship between animal keeping and malaria transmission. They also responded that having many livestock increases the population density of mosquitoes and, hence, increases transmission. They mentioned some of the livestock that can contribute to the increase in mosquito density, such as cattle, chickens, and goats.\u003c/p\u003e \u003cp\u003e \u003cem\u003e\"For instance, mosquitoes frequently attack our co-workers who go into the forest to herd cattle. There are typically a lot of mosquitoes where there are herds of cattle.\u0026rdquo;\u003c/em\u003e (Male, 48 years)\u003c/p\u003e \u003cp\u003e \u003cem\u003e\"Mosquitoes will inevitably grow in number wherever there are lots of animals. Many animal pens, including those for cows, goats, pigs, and chicken coops, will have a lot of mosquitoes, as you'll notice. If you simply sit outside in areas where these animals are present, you risk getting bitten. Additionally, if your home is poorly constructed, mosquitoes will undoubtedly enter in large numbers. They enter inside to bite people.\"\u003c/em\u003e (Female, 24 years)\u003c/p\u003e \u003cdiv id=\"Sec33\" class=\"Section3\"\u003e \u003ch2\u003eKnowledge on the impact of livestock keeping on malaria transmission\u003c/h2\u003e \u003cp\u003eMost participants (95%) responded that knowledge of the impact of livestock keeping on malaria transmission is important to their community. Among the participants, 55% of them reported they didn\u0026rsquo;t get this information anywhere, but they were wondering what would happen with that large mosquito population density. They reported that they think the rest of the community members lack this information, so it is important to consider providing this information to the community. This is well explained by the participants below:\u003c/p\u003e \u003cp\u003e \u003cem\u003e\"The truth is, in areas where there are a large number of animals, the mosquito density becomes very high. I think if these mosquitoes are infected with malaria parasites, the community members will get infected.\"\u003c/em\u003e (Female, 49 years)\u003c/p\u003e \u003cp\u003e \u003cem\u003e\u0026ldquo;It is very important for the community to receive education about the effects of animal keeping and malaria transmission, because I am not sure if this community of livestock keepers and farmers completely understands that. I believe it will be better if the specialists can collaborate with the village government to organise community meetings and pass the knowledge on to us as well.\u0026rdquo;\u003c/em\u003e (Male, 63 years)\u003c/p\u003e \u003cp\u003e \u003cem\u003e\"The biggest challenge here in this village is the level of understanding. I believe that many of our fellow villagers sometimes do not realise the way they go about things. I think you should collaborate with the village government to provide better education, especially once you finish your research, so that you can come and share the results with us and we know what to do.\u0026rdquo;\u003c/em\u003e (Male, 45 years)\u003c/p\u003e \u003cp\u003e \u003cem\u003e\u0026ldquo;I believe the community needs more education on unregulated livestock farming; many herders do not follow proper livestock keeping practices, which is why they contribute to the excessive breeding habitats of mosquitoes, especially during the rainy season. Additionally, many of them do not always clean the cattle sheds, resulting in increased mosquito breeding near households. They should be provided with education to bring about a desired change.\"\u003c/em\u003e (Male, 31 years)\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e"},{"header":"Discussion","content":"\u003cp\u003eThe study results show that houses with a high number of livestock, especially cattle, sheep, dogs, goats, and chickens, experience a higher density of \u003cem\u003eAnopheles\u003c/em\u003e mosquitoes indoors and outdoors than houses with no livestock. The \u003cem\u003eAnopheles\u003c/em\u003e mosquitoes encountered were \u003cem\u003eAn. gambiae\u003c/em\u003e s.l. (particularly \u003cem\u003eAn. arabiensis\u003c/em\u003e), \u003cem\u003eAn. funestus, An. pharoensis, An. coustani\u003c/em\u003e, and \u003cem\u003eAn. squamosus\u003c/em\u003e. Subsequently, houses with livestock have an increased risk of malaria transmission. Although the presence of livestock reduced the proportion of \u003cem\u003eAn. gambiae\u003c/em\u003e s.l. mosquitoes with human blood among houses with livestock compared to houses with no livestock, there were some mixed bloods from different hosts, including humans, cattle, goats, and chickens. In houses with livestock, cattle were the most preferred host (71.6%), while in houses with no livestock, humans were the most preferred host (67.3%) by \u003cem\u003eAn. gambiae\u003c/em\u003e s.l. mosquitoes. The effect of distance between houses and livestock shades on the density of mosquitoes collected indoors was not statistically significant except for \u003cem\u003eAn. coustani\u003c/em\u003e, where there was a significant decrease in mosquito collection when livestock were corralled between 11 and 20 meters (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.010). A higher density of \u003cem\u003eAnopheles\u003c/em\u003e mosquitoes was observed in houses with mud walls and thatched roofs than in houses with bricks and iron sheets.\u003c/p\u003e \u003cp\u003eThe increase in mosquito density in houses with livestock was hypothesised to be due to various possible reasons: (i) Mosquitoes are attracted to odours produced by livestock such as cattle, goats, and others [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e], (ii) livestock offers an alternative blood meal source to host-seeking mosquitoes. This is because normally livestock are not protected against mosquitoes like humans, especially during nights when the animals are not sprayed with insecticides and provide an open alternative blood source to mosquitoes [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. This was also revealed by the detection of bovine and other hosts\u0026rsquo; blood from \u003cem\u003eAn. gambiae\u003c/em\u003e s.l. mosquitoes. (iii) Cattle urine has been shown to attract primary and secondary malaria vectors in different settings [\u003cspan additionalcitationids=\"CR54\" citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e55\u003c/span\u003e] as malaria mosquitoes acquire and allocate cattle urine to enhance life cycle traits [\u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e55\u003c/span\u003e] which might be one of the reasons for the increased mosquito catches in households with livestock, particularly cattle. Due to that, further studies should be conducted to assess other livestock\u0026rsquo;s urine and other products that might contribute to the increase in mosquito density. The increase in mosquito density in houses with livestock was also revealed in other studies conducted in different countries, such as Pakistan [\u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e56\u003c/span\u003e] where there was an increase in human biting rate (HBR) in mosquitoes in the presence of cattle and goats. In Kenya, Minakawa et al. [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e] showed that the ratio of human density to cow density was positively correlated with the relative abundance of \u003cem\u003eAn. gambiae\u003c/em\u003e larvae in the late rainy period. Furthermore, in Ethiopia, two studies revealed that the presence of cattle in proximity to human dwellings increases the HBR of \u003cem\u003eAn. pharoensis\u003c/em\u003e compared to houses with no livestock [\u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e57\u003c/span\u003e, \u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e58\u003c/span\u003e]. The results of this study are contrary to studies that have shown that the presence of livestock, such as cattle, was associated with a significant reduction of \u003cem\u003eAn. arabiensis\u003c/em\u003e mosquitoes indoors and outdoors [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e, \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e, \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e]. These studies did not take into account the number and size of livestock corralled. Therefore, it is important to carefully verify these study results in other settings because \u003cem\u003eAnopheles\u003c/em\u003e mosquitoes seem to behave differently in different geographical areas depending on other covariates, including climatic conditions such as temperature, humidity, and rainfall, and the availability of hosts [\u003cspan additionalcitationids=\"CR60 CR61 CR62\" citationid=\"CR59\" class=\"CitationRef\"\u003e59\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR63\" class=\"CitationRef\"\u003e63\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eIn this study, the number of resting mosquitoes in houses with livestock was much higher in households with livestock than houses with livestock. This correlates with the results of host-seeking mosquitoes, where \u003cem\u003eAnopheles\u003c/em\u003e mosquitoes were higher in households with livestock. The high density of host-seeking mosquitoes was probably a reason for the high number of resting mosquitoes, most of whom were fed by gravid mosquitoes. This shows similar findings to those obtained by Mayagara et al. [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e] who observed that the number of outdoor resting \u003cem\u003eAn. gambiae\u003c/em\u003e s.l was higher in houses with livestock compared to households without, but differed in indoor collections where the number of \u003cem\u003eAn. gambiae\u003c/em\u003e s.l and \u003cem\u003eAn. funestus\u003c/em\u003e was lower in households with livestock indoors compared to households with no livestock [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e]. In a study conducted in southern Malawi [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e] reported that the number of indoor resting \u003cem\u003eAn. gambiae\u003c/em\u003e s.l. and \u003cem\u003eAn. funestus\u003c/em\u003e mosquitoes in houses with cattle did not differ from houses without cattle. Undoubtedly, further studies are required to assess the resting behaviour of \u003cem\u003eAnopheles\u003c/em\u003e mosquitoes in livestock-keeping communities in order to design the best and most efficient vector control interventions to control resting mosquitoes.\u003c/p\u003e \u003cp\u003eThe presence of livestock at different distances did not have an impact on the densities of malaria vectors except for \u003cem\u003eAn. coustani\u003c/em\u003e, whereby a decrease in mosquito density was observed when livestock were kept between 11 and 20 metres from the house. This indicates that the presence of livestock in close proximity to human dwellings reduces \u003cem\u003eAn. coustani\u003c/em\u003e mosquitoes indoors, probably because mosquitoes are more attracted to animals than humans, so the animals pull them indoors, a situation that was clearly described by Iwashita et al. [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e]. A study done in Malawi by Mburu et al. [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e] showed that the presence of cattle at a variety of distances between houses and cattle sheds reduced the density of \u003cem\u003eAn. funestus\u003c/em\u003e mosquitoes when cattle were kept between 1 and 15 metres compared to households without cattle. This shows that there is a need for further studies to be done to assess the effect of various distances between homesteads in order to assess the optimal distance where livestock will be kept to reduce mosquito density around the homesteads.\u003c/p\u003e \u003cp\u003eIn the current study, bovine blood was the most preferred blood source among any other hosts, especially for mosquitoes collected in houses with livestock. This confirms that \u003cem\u003eAn. gambiae\u003c/em\u003e mosquitoes, specifically \u003cem\u003eAn. arabiensis\u003c/em\u003e, which was the most abundant species among the \u003cem\u003eAn. gambiae\u003c/em\u003e complex group, are an opportunistic malaria vector that mostly prefers to feed on cattle\u0026rsquo;s blood [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR64\" class=\"CitationRef\"\u003e64\u003c/span\u003e, \u003cspan citationid=\"CR65\" class=\"CitationRef\"\u003e65\u003c/span\u003e]. This tells us that the presence of livestock reduces the human blood index, as described by Mayagaya \u003cem\u003eet al.\u003c/em\u003e (2015) in which the proportion of human blood index of \u003cem\u003eAn. arabiensis\u003c/em\u003e and \u003cem\u003eAn. funestus\u003c/em\u003e was approximately 50% lower in houses with livestock than those without. This further shows that the presence of livestock offers an alternative blood meal source to mosquitoes, which reduces the risk of malaria transmission due to the fact that livestock are dead-end or decoy hosts because malaria parasites cannot develop in cattle, hence zooprophylaxis. Mahande et al. [\u003cspan citationid=\"CR66\" class=\"CitationRef\"\u003e66\u003c/span\u003e] also showed that the HBI in \u003cem\u003eAn. arabiensis\u003c/em\u003e was lower in households with cattle than those without cattle. This portrays the zoophilic behaviour of these mosquitoes as it was observed in the current study. In this regard, despite having a higher mosquito density in households with livestock, the HBI is much lower than in households without livestock. Surprising results showed that even in houses without livestock, there were mosquitoes with bovine blood and some mixed-blood meals of humans and bovine. This might be due to various possible reasons, such as animals not being zero-grazed and just staying outside the homesteads or the possible flight of mosquitoes between households with livestock and those without. It has been previously reported that blood-fed \u003cem\u003eAn. gambiae\u003c/em\u003e mosquitoes can fly up to 10 kilometres [\u003cspan citationid=\"CR67\" class=\"CitationRef\"\u003e67\u003c/span\u003e]. Only 76% of blood meals were positively identified, according to laboratory tests, so not all blood meals were detected. This might be caused by a variety of reasons, such as mosquitoes feeding on other vertebrates whose antibodies were not present. Similar results have been found in other studies [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e, \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e], showing that \u003cem\u003eAn. gambiae\u003c/em\u003e mosquitoes only amplify to a limited extent during blood meal examinations.\u003c/p\u003e \u003cp\u003eThe qualitative part of this study shows that most community members observe their home environments clearly regarding the issue of malaria transmission. Some of the participants were able to identify mosquitoes based on their physical appearance and colours. This knowledge can also be used for mosquito surveillance using a citizen science approach [\u003cspan citationid=\"CR68\" class=\"CitationRef\"\u003e68\u003c/span\u003e], where community members may be professionally trained and can be used to continuously monitor species diversity and densities [\u003cspan citationid=\"CR69\" class=\"CitationRef\"\u003e69\u003c/span\u003e]. This will be useful to track trends in dominant mosquito species and be able to detect invasive species that might come into our societies [\u003cspan citationid=\"CR70\" class=\"CitationRef\"\u003e70\u003c/span\u003e, \u003cspan citationid=\"CR71\" class=\"CitationRef\"\u003e71\u003c/span\u003e]. Mwangungulu et al. [\u003cspan citationid=\"CR72\" class=\"CitationRef\"\u003e72\u003c/span\u003e] showed community knowledge and experiences to be used as a crowdsourcing vector surveillance strategy for identifying areas with a high density of mosquitoes instead of conducting large-scale surveillance.\u003c/p\u003e \u003cp\u003eDuring the qualitative assessment, it was revealed that the majority of community members spend their early evenings or nights outdoors engaging in different activities such as cooking, relaxing, and playing before going to sleep. This exposes them to early-biting mosquitoes. Similar findings were reported by a study conducted to link human behaviours and malaria vector biting risks, where most of the activities done by community members before bedtime exposed them to malaria transmission risks [\u003cspan citationid=\"CR73\" class=\"CitationRef\"\u003e73\u003c/span\u003e]. Therefore, there should be vector control interventions focusing on controlling early biting, such as the use of repellents [\u003cspan citationid=\"CR74\" class=\"CitationRef\"\u003e74\u003c/span\u003e, \u003cspan citationid=\"CR75\" class=\"CitationRef\"\u003e75\u003c/span\u003e].\u003c/p\u003e \u003cp\u003e The use of pesticides on animals was one of the key aspects that were observed during IDIs, where most of the participants acknowledged using or seeing others use pesticides to treat animals against diseases and mosquito disturbances. This might increase mosquito resistance against those pesticides, some of which contain pyrethroids. Studies should be conducted to assess the susceptibility status of mosquitoes in livestock-keeping households, like what was done in rural Tanzania to assess the effect of agricultural pesticides on the susceptibility and fitness of major malaria vectors [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eAccording to community members' observations of their environments and ecosystems, houses with livestock around their homesteads seemed to have more mosquito abundance than those with no livestock. This information was corroborated by the mosquito sampling activities, which revealed the same scenario for malaria vectors. Thus, this shows that the knowledge and experience of the community members are important baseline information for conducting further studies regarding the relationship between malaria transmission and other underlying variables, as well as before applying vector control tools. Another study showed that livestock-keeping communities have less knowledge and practices on preventing mosquito-mediated diseases than non-livestock-keeping communities [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e]. Therefore, community engagement plays an important role in implementing community-based control interventions against various health issues. Providing and mobilizing knowledge about malaria and its risk factors, such as livestock, will assist in reducing malaria transmissions in our settings [\u003cspan citationid=\"CR76\" class=\"CitationRef\"\u003e76\u003c/span\u003e, \u003cspan citationid=\"CR77\" class=\"CitationRef\"\u003e77\u003c/span\u003e]. This can be done using different approaches, such as the use of drama [\u003cspan citationid=\"CR78\" class=\"CitationRef\"\u003e78\u003c/span\u003e] to convey information to the public.\u003c/p\u003e \u003cp\u003eDespite achieving study results, this study underwent some limitations. First, the study was conducted in the rainy season only and therefore lacks information on the dry season. Thus, it is important for future studies to incorporate seasonality covariates from different consecutive years in order to draw general conclusions. Secondly, the study did not take into account the micro-climatic factors such as temperature and humidity, which also play an important role in the ecology of malaria vectors [\u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e62\u003c/span\u003e, \u003cspan citationid=\"CR63\" class=\"CitationRef\"\u003e63\u003c/span\u003e, \u003cspan additionalcitationids=\"CR80\" citationid=\"CR79\" class=\"CitationRef\"\u003e79\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR81\" class=\"CitationRef\"\u003e81\u003c/span\u003e]. Thirdly, the sporozoite infection status of the collected female \u003cem\u003eAnopheles\u003c/em\u003e mosquitoes was not assessed. This lacks confirmation on where exactly malaria transmission is high, despite the presence and absence of livestock. Lastly, the study focused on malaria vectors only, though in the study area, non-malaria vectors coexist with malaria vectors. It is important for other studies to be conducted to assess the impact of livestock on other non-anopheline mosquitoes.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThe presence of livestock, particularly cattle in close proximity to households increases the density of malaria vectors indoors and outdoors. Animals such as cattle, sheep, goats, dogs, and chickens have been identified to attract some \u003cem\u003eAnopheles\u003c/em\u003e mosquitoes This increases the risk of malaria transmission if no additional malaria control interventions are introduced or implemented. Keeping livestock, especially cattle, would reduce mosquito bites from humans and hence zooprophylaxis. This study suggests several actions to be considered: (i) integrated vector management in all sectors, (ii) livestock-based interventions such as spraying animals with insecticides should be applied in livestock-keeping communities where \u003cem\u003eAnopheles arabiensis\u003c/em\u003e is a dominant malaria vector. (iii) further studies should be conducted to assess mosquitoes\u0026rsquo; behaviour in livestock-keeping communities across different seasons. (iv) Community engagement and the provision of education to the community on malaria control practices are the key aspects to be considered for achieving a significant result against ongoing malaria transmission.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"602\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"11.461794019933555%\" valign=\"top\"\u003e\n \u003cp\u003eCDC:\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"88.53820598006645%\" valign=\"top\"\u003e\n \u003cp\u003eCentre for Disease Control and Prevention\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"11.461794019933555%\" valign=\"top\"\u003e\n \u003cp\u003eELISA:\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"88.53820598006645%\" valign=\"top\"\u003e\n \u003cp\u003eEnzyme-linked Immunosorbent Assay\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"11.461794019933555%\" valign=\"top\"\u003e\n \u003cp\u003eGLMM:\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"88.53820598006645%\" valign=\"top\"\u003e\n \u003cp\u003eGeneralized Linear Mixed Model\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"11.461794019933555%\" valign=\"top\"\u003e\n \u003cp\u003eHBI:\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"88.53820598006645%\" valign=\"top\"\u003e\n \u003cp\u003eHuman Blood Index\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"11.461794019933555%\" valign=\"top\"\u003e\n \u003cp\u003eIRS:\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"88.53820598006645%\" valign=\"top\"\u003e\n \u003cp\u003eIndoor Residual Sprays\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"11.461794019933555%\" valign=\"top\"\u003e\n \u003cp\u003eLLINs:\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"88.53820598006645%\" valign=\"top\"\u003e\n \u003cp\u003eLong lasting Insecticide-treated Nets\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"11.461794019933555%\" valign=\"top\"\u003e\n \u003cp\u003eMBDs:\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"88.53820598006645%\" valign=\"top\"\u003e\n \u003cp\u003eMosquito-Borne Diseases\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"11.461794019933555%\" valign=\"top\"\u003e\n \u003cp\u003ePCR:\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"88.53820598006645%\" valign=\"top\"\u003e\n \u003cp\u003ePolymerase Chain Reaction\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"11.461794019933555%\" valign=\"top\"\u003e\n \u003cp\u003eWHO:\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"88.53820598006645%\" valign=\"top\"\u003e\n \u003cp\u003eWorld Health Organization\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthical considerations\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe permission to conduct this study was obtained from Jaramogi Oginga Odinga University of Science and Technology ethical review committee (JOOUST-ERC) 1: JOOUST/DVC-RIO/ERC/E4 and from the institutional review board of the Ifakara Health Institute (IHI-IRB) Ref No. IHI/IRB/No:41-2022. and National Institute for Medical Research (NIMR/HQ/R.8a/Vol.IX/3352) Before conducting the study, the District Medical Officers were informed about the study and granted permission and informed local leader; through an introduction letter 1 No. UDC/ADM/A.10/207/124. \u0026nbsp; Additionally, consent to conduct the study was sought from both, communal and individual level. Communal consent was from face-to-face discussion with local leaders about the study and request to conduct it in his village. Individual consent was by discussing with each participant about the study procedures and its implications/importance followed by a request to participate. Those who agreed to participate were given written consent forms to fill before participating in this study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003ePermission to publish was obtained from the National Institute for Medical Research (Ref. no.BD. 242/437/01B/19)\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and materials\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eRelevant datasets for this study are available from the corresponding author upon request\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no competing interest.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors\u0026rsquo; contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eYAM, AOO, EWK and FAA conceived the study and developed a study protocol. YAM, GCK and EWK conducted experiments and data collection supervision. YAM, AOO, WPM and LLM conducted data analysis. YAM wrote the first draft of the manuscript. YAM and HHM prepared a map of a study area. FM, DO, AOO, EWK and FAA revised the manuscript and all authors approved it prior to submission. All authors approved the final manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe give great appreciation to community leaders of Ulanga district and Minepa village for giving permission for this study to be conducted. We thank Mr. Jibsam Jesse, Mr. Mbwana Matitu, Mr Jalieni Mbofu and all volunteers who participated in this study during the data collection process. We also give special appreciations to Ms. Rukiyah Mohamed and other outdoor malaria control (OMC) team members for their unmeasurable logistical and technical assistance since we started this study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis work was supported by the Capacity Development of Applied Epidemiologists in Eastern Africa Region (CDAE), a project which is part of the European and Developing Countries Clinical Trials Partnership II (EDCTP2) Programme supported by the European Union. CDAE is jointly implemented by the African Population and Health Research Center (APHRC), the Am1 International University (AMIU) and the Jaramogi Oginga Odinga University of Science and Technology (JOOUST) and funded by the EDCTP2 (grant: CSA2020E-3139) awarded to YAM. EWK was supported by the Consortium for Advanced Research Training in Africa (CARTA). CARTA is jointly led by the African Population and Health Research Center and the University of the Witwatersrand and funded by the Carnegie Corporation of New York (Grant No. G-19-57145), Sida (Grant No:54100113), Uppsala Monitoring Center, Norwegian Agency for Development Cooperation (Norad), and by the Wellcome Trust [1erence no. 107768/Z/15/Z] and the UK Foreign, Commonwealth \u0026amp; Development Office, with support from the Developing Excellence in Leadership, Training and Science in Africa (DELTAS Africa) programme. EWK was also funded by NIHR\u0026ndash;Wellcome Trust Partnership for Global Health Research International Training Fellowship (Grant Number: 216448/Z/19/Z).\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eRenggli S, Mandike R, Kramer K, Patrick F, Brown NJ, McElroy PD, et al. 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Effects of elevated temperatures on the development of immature stages of Anopheles gambiae (sl) mosquitoes. Trop Med Int Health. 2022;27(4):338\u0026ndash;46.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eYamana TK, Eltahir EA. Incorporating the effects of humidity in a mechanistic model of Anopheles gambiae mosquito population dynamics in the Sahel region of Africa. Parasit Vectors. 2013;6(1):1\u0026ndash;10.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"malaria-journal","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"malj","sideBox":"Learn more about [Malaria Journal](http://malariajournal.biomedcentral.com/)","snPcode":"12936","submissionUrl":"https://submission.nature.com/new-submission/12936/3","title":"Malaria Journal","twitterHandle":"@malariajournal","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Livestock management, Zooprophylaxis, Zoopotentiation, Mosquito biting risk, Blood meal, Malaria transmission, Community perspective","lastPublishedDoi":"10.21203/rs.3.rs-3920538/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3920538/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e \u003cp\u003eLivestock keeping is one of the potential factors related to malaria transmission. To date, the impact of livestock keeping on malaria transmission remains inconclusive, as some studies suggest a zooprophylactic effect while others indicate a zoopotentiation effect. This study assessed the impact of livestock management on malaria transmission risks in rural Tanzania. Additionally, the study explored the knowledge and perceptions of residents about the relationships between livestock keeping and malaria transmission risks in a selected village.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eIn a longitudinal entomological study in Minepa village, South Eastern Tanzania, 40 households were randomly selected (20 with livestock, 20 without). Weekly mosquito collection was performed from January to April 2023. Indoor and outdoor collections used CDC-Light traps, Prokopack aspirators, human-baited double-net traps, and resting buckets. A subsample of mosquitoes was analysed using PCR and ELISA for mosquito species identification and blood meal detection. Livestock's impact on mosquito density was assessed using negative binomial GLMMs. Additionally, in-depth interviews explored community knowledge and perceptions of the relationship between livestock keeping and malaria transmission risks.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003eA total of 48,677 female \u003cem\u003eAnopheles\u003c/em\u003e mosquitoes were collected. Out of these, 89% were \u003cem\u003eAn. gambiae\u003c/em\u003e s.l. while other species were \u003cem\u003eAn. funestus, An. pharoensis\u003c/em\u003e, \u003cem\u003eAn. coustani\u003c/em\u003e, and \u003cem\u003eAn. squamosus\u003c/em\u003e. The findings revealed a statistically significant increase in the overall number of \u003cem\u003eAn. gambiae\u003c/em\u003e s.,l. outdoors (RR\u0026thinsp;=\u0026thinsp;1.181, 95%CI: 1.050\u0026ndash;1.862, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.043). Also, there was an increase of the mean number of \u003cem\u003eAn. funestus\u003c/em\u003e mosquitoes collected in households with livestock indoors (RR\u0026thinsp;=\u0026thinsp;2.866, 95%CI: 1.471\u0026ndash;5.582, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.002) and outdoors (RR\u0026thinsp;=\u0026thinsp;1.579,95%CI: 1.080\u0026ndash;2.865, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.023). The human blood index in \u003cem\u003eAn. gambiae\u003c/em\u003e s.l. mosquitoes from houses with livestock was less than those without livestock (OR\u0026thinsp;=\u0026thinsp;0.149, 95%CI: 0.110\u0026ndash;0.178, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001). The majority of participants in the in-depth interviews reported a perceived high density of mosquitoes in houses with livestock compared to houses without livestock.\u003c/p\u003e\u003ch2\u003eConclusion\u003c/h2\u003e \u003cp\u003eDespite the potential for zooprophylaxis, this study indicates a higher malaria transmission risk in livestock-keeping communities. It is crucial to prioritise and implement targeted interventions to control vector populations within these communities. Furthermore, it is important to enhance community education and awareness regarding covariates such as livestock that influence malaria transmission.\u003c/p\u003e","manuscriptTitle":"Livestock keeping, mosquitoes and community viewpoints: a mixed methods assessment of relationships between livestock management, malaria vector biting risk and community perspectives in rural Tanzania","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-02-06 17:26:20","doi":"10.21203/rs.3.rs-3920538/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2024-03-09T05:56:04+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-03-02T00:39:28+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"5db474e2-14a3-48f1-9ed8-e94653c05a4c","date":"2024-02-09T09:18:45+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2024-02-09T04:32:32+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2024-02-03T11:01:09+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-02-03T11:01:09+00:00","index":"","fulltext":""},{"type":"submitted","content":"Malaria Journal","date":"2024-02-02T10:31:27+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"malaria-journal","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"malj","sideBox":"Learn more about [Malaria Journal](http://malariajournal.biomedcentral.com/)","snPcode":"12936","submissionUrl":"https://submission.nature.com/new-submission/12936/3","title":"Malaria Journal","twitterHandle":"@malariajournal","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"f57ab932-6e9d-4cbc-8d0f-faf23b0d62d6","owner":[],"postedDate":"February 6th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2024-08-01T17:22:28+00:00","versionOfRecord":{"articleIdentity":"rs-3920538","link":"https://doi.org/10.1186/s12936-024-05039-1","journal":{"identity":"malaria-journal","isVorOnly":false,"title":"Malaria Journal"},"publishedOn":"2024-07-17 16:13:30","publishedOnDateReadable":"July 17th, 2024"},"versionCreatedAt":"2024-02-06 17:26:20","video":"","vorDoi":"10.1186/s12936-024-05039-1","vorDoiUrl":"https://doi.org/10.1186/s12936-024-05039-1","workflowStages":[]},"version":"v1","identity":"rs-3920538","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3920538","identity":"rs-3920538","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}