Determinants of urban mosquito population density and community responses: A cross-sectional study

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These arthropods, especially mosquitoes, are particularly rampant in Mangalore because of the humid coastal climate and scaling urbanization. Objectives To identify the key determinants of mosquito presence in urban settings and assess community-based prevention strategies and control measures. Also to evaluate community perceptions of mosquito-borne diseases and quantify their burden from self-reported cases. Methods The study involved households in selected wards of the urban field practice area of the Department of Community Medicine, selected through convenience sampling. Data were collected using a semi-structured questionnaire covering sociodemographic details, mosquito proliferation, breeding determinants, behavioral measures, perception of mosquito control, and self-reported cases of mosquito-borne diseases. The data were analyzed using Jamovi version 2.6.26. Results The study included 95 household participants, primarily female (70.5%) and literate individuals (94.8%). The 42.1% reported an increase in mosquito breeding sites over the past year and 69.4% recognized the rainy season, where mosquitoes were more prevalent. Seventy five percentage responded to water stagnation, which contributed to vector breeding. The survey showed, 91.5% of households used chemical measures as mosquito preventive measures. Ninety two percentage of respondents are aware of mosquito-borne diseases and 80% perceived regular environmental cleaning is a crucial method to prevent disease outbreaks. Thirty percentage of participants had suffered any mosquito-borne disease past year. Water stagnation (p = 0.033) and construction activity (p = 0.014) were significantly associated with a higher number of mosquitoes in the study setting. Conclusion This study reveals a gap in community knowledge and perception of mosquito-borne diseases, even though people are aware of basic precautions, such as using mosquito sprays and screens. However, proper intervention by local authority is needed to combat breeding factors, such as water stagnation and dense vegetation. " } { "@context": "http://schema.org", "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": "1", "item": { "@id": "https://f1000research.com/", "name": "Home" } }, { "@type": "ListItem", "position": "2", "item": { "@id": "https://f1000research.com/browse/articles", "name": "Browse" } }, { "@type": "ListItem", "position": "3", "item": { "@id": "https://f1000research.com/articles/14-661/v1", "name": "Determinants of urban mosquito population density and community responses:..." } } ] } Home Browse Determinants of urban mosquito population density and community responses:... ALL Metrics - Views Downloads Get PDF Get XML Cite How to cite this article T R, Surendran J, SR S et al. Determinants of urban mosquito population density and community responses: A cross-sectional study [version 1; peer review: 1 approved, 1 not approved] . F1000Research 2025, 14 :661 ( https://doi.org/10.12688/f1000research.164704.1 ) NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article. Close Copy Citation Details Export Export Citation Sciwheel EndNote Ref. Manager Bibtex ProCite Sente EXPORT Select a format first Track Share ▬ ✚ Research Article Determinants of urban mosquito population density and community responses: A cross-sectional study [version 1; peer review: 1 approved, 1 not approved] Rekha T https://orcid.org/0000-0003-2278-1445 1 , Jithin Surendran https://orcid.org/0000-0002-6857-8234 1 , Sreedevi SR 1 , [...] Aishwariya Narasimhan https://orcid.org/0009-0004-3499-0409 1 , Nihal R Shankar 2 , Arhan Vilas K 2 , Gayana Shree A N https://orcid.org/0009-0004-3778-7465 2 , Hari Priya Muppala 2 , Faiz Abdulaziz 2 , Rohan HS 2 , Ameya Singh 2 Rekha T https://orcid.org/0000-0003-2278-1445 1 , Jithin Surendran https://orcid.org/0000-0002-6857-8234 1 , [...] Sreedevi SR 1 , Aishwariya Narasimhan https://orcid.org/0009-0004-3499-0409 1 , Nihal R Shankar 2 , Arhan Vilas K 2 , Gayana Shree A N https://orcid.org/0009-0004-3778-7465 2 , Hari Priya Muppala 2 , Faiz Abdulaziz 2 , Rohan HS 2 , Ameya Singh 2 PUBLISHED 07 Jul 2025 Author details Author details 1 Department of Community Medicine, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India 2 Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India Rekha T Roles: Methodology, Project Administration, Resources, Supervision, Validation Jithin Surendran Roles: Conceptualization, Data Curation, Formal Analysis, Investigation, Methodology, Project Administration, Resources, Supervision, Validation, Writing – Original Draft Preparation Sreedevi SR Roles: Data Curation, Formal Analysis, Investigation, Methodology, Resources Aishwariya Narasimhan Roles: Data Curation, Formal Analysis, Software Nihal R Shankar Roles: Data Curation, Investigation, Resources, Writing – Original Draft Preparation Arhan Vilas K Roles: Data Curation, Investigation, Resources Gayana Shree A N Roles: Data Curation, Investigation, Resources Hari Priya Muppala Roles: Data Curation, Investigation, Resources Faiz Abdulaziz Roles: Data Curation, Investigation Rohan HS Roles: Data Curation, Investigation Ameya Singh Roles: Data Curation, Investigation OPEN PEER REVIEW DETAILS REVIEWER STATUS This article is included in the Global Public Health gateway. This article is included in the Manipal Academy of Higher Education gateway. Abstract Background Vector-borne diseases transmitted by various arthropods account for approximately 17% of the global burden of infectious diseases. These arthropods, especially mosquitoes, are particularly rampant in Mangalore because of the humid coastal climate and scaling urbanization. Objectives To identify the key determinants of mosquito presence in urban settings and assess community-based prevention strategies and control measures. Also to evaluate community perceptions of mosquito-borne diseases and quantify their burden from self-reported cases. Methods The study involved households in selected wards of the urban field practice area of the Department of Community Medicine, selected through convenience sampling. Data were collected using a semi-structured questionnaire covering sociodemographic details, mosquito proliferation, breeding determinants, behavioral measures, perception of mosquito control, and self-reported cases of mosquito-borne diseases. The data were analyzed using Jamovi version 2.6.26. Results The study included 95 household participants, primarily female (70.5%) and literate individuals (94.8%). The 42.1% reported an increase in mosquito breeding sites over the past year and 69.4% recognized the rainy season, where mosquitoes were more prevalent. Seventy five percentage responded to water stagnation, which contributed to vector breeding. The survey showed, 91.5% of households used chemical measures as mosquito preventive measures. Ninety two percentage of respondents are aware of mosquito-borne diseases and 80% perceived regular environmental cleaning is a crucial method to prevent disease outbreaks. Thirty percentage of participants had suffered any mosquito-borne disease past year. Water stagnation (p = 0.033) and construction activity (p = 0.014) were significantly associated with a higher number of mosquitoes in the study setting. Conclusion This study reveals a gap in community knowledge and perception of mosquito-borne diseases, even though people are aware of basic precautions, such as using mosquito sprays and screens. However, proper intervention by local authority is needed to combat breeding factors, such as water stagnation and dense vegetation. READ ALL READ LESS Keywords Vector Borne Diseases, Malaria, Dengue, Epidemiologic Factors, Mosquito Control Corresponding Author(s) Jithin Surendran ( [email protected] ) Close Corresponding author: Jithin Surendran Competing interests: No competing interests were disclosed. Grant information: The author(s) declared that no grants were involved in supporting this work. Copyright: © 2025 T R et al . This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. How to cite: T R, Surendran J, SR S et al. Determinants of urban mosquito population density and community responses: A cross-sectional study [version 1; peer review: 1 approved, 1 not approved] . F1000Research 2025, 14 :661 ( https://doi.org/10.12688/f1000research.164704.1 ) First published: 07 Jul 2025, 14 :661 ( https://doi.org/10.12688/f1000research.164704.1 ) Latest published: 18 Dec 2025, 14 :661 ( https://doi.org/10.12688/f1000research.164704.4 )  There is a newer version of this article available. Suppress this message for one day. Introduction Vectors are defined as organisms that transmit infectious pathogens from humans to humans, or from animals to humans. Some of the most prevalent vector-borne diseases include malaria, filariasis, dengue, chikungunya, yellow fever, chagas disease, bubonic plague, and leishmaniasis are transmitted by arthropod vectors. These diseases contribute 17% of infectious diseases that affect the human population worldwide and cause approximately 7,00,000 deaths per year. 1 Mosquitoes are one of the most prominent arthropod vectors, representing a significant portion of the vector-borne disease burden, with over 80% of the global population are at risk. 1 Thes arthropods come under the class of Insecta, further classified into Anopheline and Culicine mosquitoes. Anophelines are responsible for transmitting malaria, which is known for their nocturnal biting habits and indoor resting behavior, as they typically bite between 10 PM and 4 AM and breed in clean sunlit water sources. India bears 79% of the global malaria burden. 2 , 3 , 4 Aedes aegypti and Aedes albopictus are mosquitoes that belong to the Culicines category, which are highly domesticated and commonly found near human dwellings that transmit dengue and chikungunya. They breed in water-filled containers in domestic and peri-domestic areas and bite especially during the day time and evening. 5 Asia is home to 70% of the global dengue risk, with India being a significant contributor. 6 , 7 The first chikungunya outbreak occurred in the 1960s, followed by a period of dormancy until a major resurgence in 2006 affected 13 states in the country. 8 , 9 India’s vulnerability to mosquito-borne diseases is exacerbated by its eco-socio-demographic conditions, making them a major public health concern. Karnataka, a southern state in India, faces a significant burden of mosquito-borne diseases including malaria, dengue, lymphatic filariasis, and Japanese encephalitis. The prevalence of these diseases varies among districts. In 2010, the state recorded 1,09,118 malaria cases, with 28,065 attributed to Plasmodium falciparum. 10 The coastal cities of Mangalore and Udupi together account for approximately 72% of the malaria cases reported in Karnataka. 11 In particular, Mangalore—a coastal town of Dakshina Kannada district with frequent heavy rainfall and high humidity—provides an ideal environment for mosquito proliferation. An initial survey conducted in Mangalore taluk identified 26 mosquito species across six genera. Mangalore and its surrounding areas are considered malaria-endemic, with an annual parasite index of 10–12. 12 Rapid urbanization in urban Mangalore, including extensive construction, inadequate drainage, and poor road conditions, has further contributed to the persistence of the endemic nature of mosquito-borne diseases in the area. 13 This study aimed to explore the interactions between environmental, socioeconomic, and behavioral factors that influence vector presence in the study setting and community responses to vector-borne disease risks. These findings will help assess the level of vector nuisance, disease prevalence, and community engagement. By aligning with the Sustainable Development Goal 3.3—ending epidemics of malaria and other communicable diseases—the study’s results will focus on generating valuable evidence for urban vector control programs and the development of tailored community-based interventions. Objectives To identify the key determinants of mosquito presence in urban settings and assess community-measures taken to prevent an increase in mosquito density and control mosquito-borne diseases. Also to evaluate the community perceptions towards mosquito-borne diseases and quantify the disease burden from self-reported cases. Review of literature Various factors responsible for the rapid proliferation of mosquitoes in different regions of the world have been identified. A study conducted by (Wilke AB et al., 2020) in Miami-Dade Florida identified a few of the common aquatic habits which are responsible for harbouring 80% of all immature Ae. Aegypti and the proliferation increase in the presence of those aquatic habitats. 14 Several studies have identified that Anopheles breeds in pools and streams, where people living in close proximity are at a high risk of malaria and its transmission. 15 These studies have also identified malaria as a disease of the poor since they have less access to anti-mosquito measures, cannot afford preventive measures, and live in a mosquito-free environment with the contributing factor to this disease transmission as the age-old tradition of sleeping outside at night amid peak mosquito activity. The use of preventive measures, such as effective lids over water storage containers and frequent emptying of containers, reduces the incidence of arthropod proliferation, especially Ae. Aegypti. 16 There is a linear relationship among growing populations, rising socioeconomic status, and increased mosquito proliferation. Economically marginalized populations with high population density are particularly vulnerable to dengue disease burden. 17 A different study employing logistic regression showed that tiled and concrete dwellings increased the likelihood of an area becoming a hotspot by 2.0 and 2.9 times, respectively, for dengue disease transmission. 18 There is a significant relationship between rapid, unplanned urbanization and the proliferation of mosquitoes. One study revealed that inadequate urban infrastructure and sanitation play an important role in the transmission and reproduction of vectors, especially Aedes aegypti. These unplanned disorganized cities provide favorable conditions, such as artificial breeding grounds, presence of stagnant water, mosquito proliferation, and disease transmission. 19 Climate change also has a huge impact on vector proliferation. It reduces larval development time and rapidly increases mosquito populations. It also leads to a reduction in the extrinsic incubation period by decreasing the time taken by the virus to reach the mosquito’s salivary glands, making it infectious. 19 Knowledge regarding mosquito breeding sites, factors for mosquito proliferation, the impact of climate change, and urbanization on vector proliferation is essential to control rapid reproduction and increase mosquito population density. A study by (Garbin CA et al., 2021) revealed that 76% respondents believed that their neighborhood was likely to be infected by a disease spread by mosquitoes, but no action was taken by them, this concluded that there was a gap between the knowledge about the disease and the actions to be taken. 20 Another study by (Madeira NG et al., 2002) conducted on school children showed that after didactic intervention, knowledge about the proliferation of the vector increased leading to increased awareness, which was lacking prior to the intervention. 21 Various determinants of mosquito proliferation have been identified across different studies, and the present study was conducted to identify such determinants in Mangalore and the measures taken by the community to prevent vector proliferation. Methodology This community-based cross-sectional study was conducted in Mangalore, a coastal city in the South Indian state of Karnataka, between September and October 2024, among Community households present in the urban field practice area of the Department of Community Medicine. The sample size was calculated based on a previous study conducted in Mangalore, Karnataka, 22 it was reported that 83% of the people used preventive measures such as mosquito nets to prevent mosquito bite, using this as our anticipated proportion and 10% relative precision, 95% confidence interval, and adding 20% non-response rate as 95 sample size was calculated as follows: N = Z α 2pq/d2: Z = 1.96, 95% confidence interval; p = 0.83; q = 1-p = 0.17, and d is 10% relative precision and 20% of non-response rate. The study protocol was approved by the Institutional Ethics Committee, Kasturba Medical College Mangalore with No: IEC KMC MLR 09/2024/587, followed by permission from the Head of the Institute. The written consent was taken on an ‘Informed consent form’ which was provided to the participants ≥18 years of age for signature, and the participants <18 years of age were excluded from the study. All participants had the right to withdraw at any stage of the study, and all incomplete responses were considered withdrawal and excluded from the analysis. The study participants were approached from a household that was selected from five wards out of the total 60 wards present under the Mangalore City Corporation based on convenience; one reliable informant residing in the household for more than at least 1 year, who was aware of the household conditions and consented were included in the study, whereas temporary residents of less than a year, apartment complexes, and households without adult personnel were excluded. The number of households to be taken for our study was divided equally among each ward; that is, a total of 19 households from each of the selected wards were considered for the study. A random street was selected from each ward and then, standing at the end of each randomly selected street, every 3 rd house present on the left side of the lane was considered for the study, which was continued in a clockwise order; in case of failure to meet the inclusion criteria, absence, or denial to take part in the study, the next house was considered. When the head of the household was absent during the time of data collection, information was collected from the oldest adult residing in the household. A pretested, semi-structured, internally validated physical questionnaire designed after extensive literature review was used for data collection, which comprised details such as sociodemographic data, mosquito proliferation and nuisance, determinants of mosquito breeding, behavioral and preventive measures, perception related to mosquito control, and self-reported cases of mosquito-borne diseases. Data were recorded after obtaining informed consent from the heads of the households. The data collected were entered into MS Excel and analyzed using Jamovi version 2.6.26. Descriptive statistics are represented using frequencies and proportions. The association between two categorical variables was analyzed using the chi-square test, and a P value <0.05 indicates that there was a statistically significant association between the independent and dependent variables. Results Table 1. Socio-demographic characteristics of study participants (N = 95). Socio-demographic details n (%) Age (in years) 18-30 12 (12.6) 31-45 14 (14.7) 46-60 34 (35.8) >60 35 (36.8) Gender Male 28 (29.5) Female 67 (70.5) Education Illiterate 5 (5.2) Primary School 11 (11.6) High School + PUC 46 (48.4) Degree 33 (34.7) Proximity of Nearby Health Care facility (in km) 0-2 58 (61.1) >2-4 25 (26.3) >4 12 (12.6) Table 2. Perceived mosquito proliferation and nuisance (N = 95). Perception n (%) Increase in mosquito breeding sites in the last 1 year (yes) 40 (42.1) Presence of mosquitoes inside the house Mild 31 (32.6) Moderate to Severe 64 (67.4) Presence of mosquitoes outside the house Mild 12 (12.6) Moderate to Severe 83 (87.4) Time of the day when mosquitoes mostly bite Morning 8 (8.4) Evening 68 (71.6) Night 19 (20.0) Mosquito bites causing disturbed sleep or discomfort at night 29 (30.5) Weather conditions in which mosquitoes are mostly prevalent Rainy season 66 (69.5) Hot weather 16 (16.8) No noticeable difference 13 (13.7) Overall mosquito nuisance in locality compared to past one year Mild 38 (40.0) Moderate to Severe 57 (60.0) Table 3. Determinants of mosquito breeding (N = 95). Determinants of mosquito breeding * n (%) Water stagnation (n = 71) 71 (74.7) Puddles 53 (74.6) Flowerpots 60 (84.5) Construction sites 23 (32.3) Garbage Dumping 13 (13.6) Presence of water body 19 (20.0) Presence of dense vegetation 52 (54.7) Water storage in uncovered containers 12 (12.6) Presence of water leaks or overflow from pipes and tanks 8 (8.4) * Multiple responses. Table 4. Behavioural and preventive measures by participants for mosquito control (N = 95). Preventive measures n (%) Type of measure * Chemical 87 (91.5) Mosquito nets, window screens or meshes 53 (55.7) Closing doors and windows 77 (81.0) Other personal measures 15 (15.7) Mosquito repellent/coils Yes, daily 24 (25.2) Yes, occasionally 23 (24.2) Never 48 (50.5) Insect repellent before sleep Yes 12 (12.6) No 83 (87.3) Cleaning of surroundings By household members Daily 49 (51.5) Weekly 31 (32.6) Occasionally 15 (15.8) By municipality Yes 39 (41.0) No 56 (58.9) Water stagnation (Checking and eliminating stagnation) Daily 17 (17.8) Weekly 37 (38.9) Occasionally 30 (31.5) Never 11 (11.5) Check holes in window screens/mosquito nets Regularly (monthly/more) 24 (25.2) Occasionally 17 (17.8) Rarely 17 (17.8) Never 37 (38.9) Anti-mosquito fogging by local authorities Frequently # 6 (6.3) Occasionally 41 (43.1) Never 48 (50.5) * Multiple responses. # Frequently: weekly or monthly. Table 5. Awareness and perception of mosquito borne diseases and mosquito control measures (N = 95). Awareness and perception n (%) Awareness about mosquito borne disease * 88 (92.6) Malaria 85 (96.6) Dengue 82 (93.2) Chikungunya 29 (33) Zika 8 (9.1) Filariasis 9 (10.2) Perception of Preventive measures to be taken to avoid Mosquito-borne diseases * Regular cleaning of surroundings 76 (80.0) Eliminating stagnant water 71 (74.7) Usage of insecticide sprays 50 (52.6) Usage of mosquito nets 46 (48.4) Education and spreading awareness 92 (96.8) Perception of community on determinants of mosquito proliferation a) Water stagnation Clean water 16 (16.8) Dirty water 44 (46.3) Both clean and dirty water 35 (36.8) b) Seasonal variation 85 (89.4) Rainy season 69 (81.1) Summer season (Dry Hot weather) 16 (18.8) * Multiple responses. Table 6. Self-Reported cases and outcome of mosquito borne diseases (N=95). Self-Reported cases N (%) Suffered from any mosquito-borne disease in the past 1 Year Yes 28 (29.4) Mosquito borne Disease (N = 28) Malaria 8 (28.5) Dengue 20 (71.4) Symptoms * Fever 27 (96.4) Headache 22 (78.5) Joint Pain 17 (60.7) Rash 2 (7.1) Muscle Pain 13 (46.4) Others 17 (60.7) Place of Treatment Public Health Centre 5 (17.8) Private Clinic 23 (82.1) Complications after recovery * Weaknesses 12 (92.3) Cold 1 (7.6) Leg Pain 1 (7.6) Headache 1 (7.6) Eye Pain 1 (7.6) * Multiple choice question. Table 7. Association between increased mosquito density and key determinants of mosquito proliferation. Variable Increased mosquito density p value Yes (%) No (%) N = 49 N = 46 Presence of water stagnation Yes 34 (69.3) 22 (47.8) 0.033 * No 15 (30.6) 24 (52.1) Presence of construction sites Yes 17 (34.6) 6 (13.0) 0.014 * No 32 (65.3) 40 (86.9) Presence of any water body (pond, lake, etc.) Yes 8 (16.3) 7 (15.2) 0.882 No 41 (83.6) 39 (84.7) Presence of Dense Vegetation Yes 31 (63.2) 21 (45.6) 0.085 No 18 (36.7) 25 (54.3) Presence of Garbage dumping sites Yes 8 (16.3) 5 (10.8) 0.439 No 41 (83.6) 41 (89.1) Type of Water storage Covered containers 41 (83.6) 42 (91.3) 0.263 Uncovered containers 8 (16.3) 4 (8.6) Presence of water leaks or overflow from tanks or taps Yes 6 (12.2) 2 (4.3) 0.166 No 43 (87.7) 44 (95.6) * Statistically significant (p value ≤ 0.05; χ 2 test). Table 8. Association between mosquito borne disease prevalence and preventive measures taken inside the house (N = 95). Variable Presence of mosquito-borne disease p Value Yes (%) No (%) N = 28 N = 67 Repair or check holes in window screens or mosquito nets Yes 9 (32.1) 32 (47.7) 0.161 No 19 (67.8) 35 (52.2) Use of mosquito repellents or coils Yes 20 (71.4) 27 (40.3) 0.006 * No 8 (28.5) 48 (59.7) Use of electric mosquito bats or insecticide sprays Often 11 (39.2) 22 (32.8) 0.547 Rarely 17 (60.7) 45 (67.1) Usage of Mosquito nets at night Yes 14 (50.0) 37 (55.2) 0.642 No 14 (50.0) 30 (44.7) * Statistically significant (p value ≤ 0.05; χ 2 test). Discussion In the present study, 60% of participants reported experiencing moderate to severe mosquito nuisance in their locality over the past year. This contrasts with findings of Davidson et al., who noted that 80% of respondents in St. Johns County, Florida, felt bothered by mosquitoes daily or several times a week. 23 Notably, 71.5% of participants indicated that evenings were the peak time for mosquito activity, and 30.5% reported that mosquito bites disrupted their sleep. Additionally, 67.4% of participants described a moderate to severe presence of mosquitoes indoors, while 87.3% reported similar conditions outdoors. This is comparable to data from Kampango et al., which indicated an average of 85.93% An. gambiae s.l. bites per night, with 66% occurring indoors and 34% outdoors, peaking between 22:00 and 03:00 in a rural community in Chókwè District, southern Mozambique. 24 In the present study, 50% often found mosquitoes inside the house, whereas 48.3% of the population rarely found mosquitoes inside the house after the use of mosquito repellants or coils. 64.5% Of the population rarely found mosquitoes inside houses, whereas 32.8% often found mosquitoes inside houses after regular repairing or checking holes in window screens or mosquito nets. 61.2% Of the population rarely found mosquitoes inside houses without usage of insecticide sprays at home. 84.3% often found mosquitoes inside the house when they stored water in closed containers. Those who often repaired or checked holes in window screens and mosquito nets (p = 0.003) were more likely to report a lower presence of mosquitoes compared to those who rarely did the repair. Considering the environmental factors, 69.4% of participants identified the rainy season as the period when mosquitoes were most prevalent. This aligns with a cross-sectional study by Mahgoub et al. in Barakat and El-Kareiba, Sudan, which found a high number of positive habitats during the rainy season, whereas the lowest numbers were reported during the hot followed by dry season. 25 The primary breeding sites identified in our study included water stagnation (74.7%), dense vegetation (54.7%), and nearby water bodies (20%). In contrast, Mahgoub et al. reported that the main breeding sites for various mosquitoes in Sudan were leaking water pipes (51.5%), followed by irrigation channels (34.2%), hoof prints (6.4%), tire tracks (5.5%), and water tanks (2.4%). 25 Water stagnation (p = 0.033) was significantly associated with a higher presence of mosquitoes, suggesting that stagnant water plays a crucial role in mosquito proliferation, and absence of construction (p value = 0.014) activity was significantly associated with a lower presence of mosquitoes, suggesting that presence of any type of construction activity can play a crucial role in mosquito proliferation. Preventive measures among participants were notable as 91.5% used chemical repellents (insect sprays, vaporizers, smoke), 81% kept doors and windows closed, 55.7% utilized mosquito nets or screens, and 15.7% employed other specialized methods. This contrasts with a study in urban northern Gujarat by Mahalakshmi et al., which 67.3% used chemical measures as repellent creams or liquids, 22% used bed nets, and only 2% reported taking no precautionary measures. 26 In terms of community cleaning practices, 51.5% of individuals reported cleaning their surroundings daily, additionally, 38.9% checked water stagnation weekly; in contrast, 84.6% never reported water stagnation to authorities. Unfortunately, 58.9% indicated that municipal cleaning was infrequent in the locality. Notably, 25.2% regularly checked window screens or mosquito nets for damage and 50.5% stated that there had been no anti-fogging efforts by local authorities. This is compared with Mahalakshmi et al.’s findings in northern Gujarat, where 88% cleaned their homes daily, 57.3% cleaned their surroundings weekly, and 82% actively avoided water stagnation. 26 In the present study, 29.4% of participants reported suffering from a mosquito-borne disease in the past year, with dengue accounting for 71.4% of cases. Common symptoms included fever (96.4%), headache (78.5%), joint pain (60.7%), and muscle pain (46.4%), 82% sought treatment at private clinics. This aligns with findings from a study conducted by Kumar et al. in a tertiary hospital in Udupi district, which indicated that 83.9% of cases were due to dengue fever, presenting symptoms such as fever (99.1%), myalgia (64.6%), vomiting (47.6%), headache (47.6%), abdominal pain (37.5%), and breathlessness (17.8%). 27 Finally, 92.3% of participants in our study reported experiencing complications post-recovery, primarily weakness, while 7.6% experienced cold, leg pain, headache, or eye pain. This contrasts with a study in Vietnam by Tam et al., who reported that 12.5% of participants experienced alopecia, 11.1% had blurred vision, 9.5% faced concentration difficulties, and 8.5% suffered from fatigue following dengue infection. 28 The study found that 82.1% of the population perceives water stagnation (p = 0.003) as a significant factor in mosquito proliferation, indicating it is a major factor in the prevalence of mosquito-borne diseases. Construction sites, water bodies, dense vegetation, and water storage in open containers were identified as the significant determinants. Additionally, 17.8% of individuals perceive water leakage from tanks and taps (p = 0.032) as a key determinant, indicating that water leakage from household stores is a significant factor in the prevalence of mosquito-borne diseases. Overall, these factors contribute to the prevalence of mosquito-borne disease. Conclusion In conclusion, knowledge and attitudes regarding mosquito borne diseases in the community are apt and good. It correlates with good practice but only to a certain extent. Practicing the basic requirements, for example, using mosquito sprays and closing windows, is to par. However, proper intervention by local authority is necessary to combat the main factors responsible for mosquito breeding, such as water stagnation and the presence of dense vegetation. This proves the presence of gaps identified by our study, where despite most people being aware of mosquito-borne diseases, respondents recognized the lack of awareness and good preventive practices. Hence, apart from awareness, there is a dire need to provide the right personnel and services to combat mosquito-borne diseases. Recommendation Awareness and campaigns Nearly hundred percent of participants believe that spreading awareness about mosquito-borne diseases and mosquito control measures will help in reducing mosquito borne diseases in the community. This can be accomplished through various means, such as public service announcements, social media campaigns, and community outreach programs. Elimination of water stagnation Local authorities and communities must proactively repair damaged roads, cover open drains, and ensure proper waste disposal to eliminate standing water, prevent mosquito breeding, and reduce the risk of vector-borne diseases. Clearing up of dense vegetation The presence of dense vegetation was a significant determinant of the presence of mosquitoes in household neighborhoods. Local authorities should regularly cut vegetation and clean these areas. Further research Further research to identify the factors leading to an increase in the mosquito population and community and local government measures can help recognize additional intervention strategies. This can involve qualitative research methods, such as in-depth interviews, field research, or focus groups, to gain a deeper understanding of the underlying issue. Ethical approval The study protocol was approved by the Institutional Ethics Committee, Kasturba Medical College Mangalore with No: IEC KMC MLR 09/2024/587, followed by permission from the Head of the Institute. The written consent was taken on an ‘Informed consent form’ which was provided to the participants ≥18 years of age for signature, and the participants <18 years of age were excluded from the study. All participants had the right to withdraw at any stage of the study, and all incomplete responses were considered withdrawal and excluded from the analysis. Data availability Underlying data The data set used and/or analyzed during the current study are available from the online repository (figshare) DOI- https://doi.org/10.6084/m9.figshare.29144975 . 29 ( Tables 1 – 8 ) Extended data The data include participant information sheet, Informed consent form and questionnaire are available from the online repository (figshare) DOI- https://doi.org/10.6084/m9.figshare.29144990 30 Data are available under the terms of the Creative Commons Zero “No rights reserved” data waiver (CC0 Public domain dedication). References 1. WHO: Global vector control response 2017–2030. WHO; 2017. 2. Huho B, Briët O, Seyoum A, et al. : Consistently high estimates for the proportion of human exposure to malaria vector populations occurring indoors in rural Africa. Int. J. Epidemiol. 2013; 42 (1): 235–247. PubMed Abstract | Publisher Full Text | Free Full Text 3. Pluess B, Tanser FC, Lengeler C, et al. : Indoor residual spraying for preventing malaria. Cochrane Database Syst. Rev. 2010; 2010 (4). Publisher Full Text 4. World Health Organization: World malaria report 2022. Geneva: World Health Organization; 2022. Reference Source 5. National Center for Vector Borne Disease Control: Operational guidelines for hospitals to control Aedes breeding. New Delhi: National Center for Vector Borne Diseases Control; 2022. Reference Source 6. Bhatt S, Gething PW, Brady OJ, et al. : The global distribution and burden of dengue. Nature. 2013; 496 (7446): 504–507. PubMed Abstract | Publisher Full Text | Free Full Text 7. Brady OJ, Gething PW, Bhatt S, et al. : Refining the global spatial limits of dengue virus transmission by evidence-based consensus. PLoS Negl. Trop. Dis. 2012; 6 (8): e1760. PubMed Abstract | Publisher Full Text | Free Full Text 8. Paulson W, Kodali NK, Balasubramani K, et al. : Social and housing indicators of dengue and chikungunya in Indian adults aged 45 and above: Analysis of a nationally representative survey (2017-18). Arch. Public Health. 2022; 80 : 125. PubMed Abstract | Publisher Full Text | Free Full Text 9. Chavasse D: Know your enemy: Some facts about the natural history of Malawi’s Anopheles mosquitoes and implications for malaria control. Malawi Med. J. 2002 Apr 1; 14 (1): 7–8. PubMed Abstract 10. Kumar KR, Gururaj G: Community Perception Regarding Mosquito-borne Diseases in Karnataka State, India. 11. Prasad KI, Govindarajan R, Sreepada KS: Seasonal Diversity of mosquito species in Dakshina Kannada district, Karnataka, India. Journal of Vector Borne Diseases. 2021 Apr 1; 58 (2): 119–125. PubMed Abstract | Publisher Full Text 12. Dayanand KK, Punnath K, Chandrashekar V, et al. : Malaria prevalence in Mangaluru city area in the southwestern coastal region of India. Malar. J. 2017 Dec; 16 : 1. Publisher Full Text 13. Ghosh SK, Manju R: Malaria elimination in India—The way forward. J. Vector Borne Dis. 2019; 56 (1): 32–40. PubMed Abstract | Publisher Full Text 14. Wilke AB, Vasquez C, Carvajal A, et al. : Proliferation of Aedes aegypti in urban environments mediated by the availability of key aquatic habitats. Sci. Rep. 2020 Jul 31; 10 (1): 12925. 15. Prashanthi D, Ranganathan CR, Balasubramanian S: Socio-demographic determinants of Malaria in highly infected rural areas: regional influential assessment using GIS. GIS for Health and the Environment: Development in the Asia-Pacific Region With 110 Figures.2007; 195–205. 16. Yadav K, Dhiman S, Rabha B, et al. : Socio-economic determinants for malaria transmission risk in an endemic primary health centre in Assam, India. Infect. Dis. Poverty. 2014 Dec; 3 : 1–8. Publisher Full Text 17. Telle O, Vaguet A, Yadav NK, et al. : The spread of dengue in an endemic urban milieu–the case of Delhi, India. PloS one. 2016 Jan 25; 11 (1): e0146539. PubMed Abstract | Publisher Full Text | Free Full Text 18. Srividya A, Subramanian S, Sadanandane C, et al. : Determinants of transmission hotspots and filarial infection in households after eight rounds of mass drug administration in India. Trop. Med. Int. Health. 2018 Nov; 23 (11): 1251–1258. PubMed Abstract | Publisher Full Text 19. Almeida LS, Cota AL, Rodrigues DF: Sanitation, Arboviruses, and Environmental Determinants of Disease: impacts on urban health. Ciencia & saude coletiva. 2020 Sep 28; 25 : 3857–3868. PubMed Abstract | Publisher Full Text 20. Garbin CA, Teruel GP, Saliba TA, et al. : Knowledge and attitude of women with high-risk pregnancy about the Zika virus transmission. Ciênc. Saúde Colet. 2021 Jan 25; 26 : 233–240. PubMed Abstract | Publisher Full Text 21. Madeira NG, Macharelli CA, Pedras JF, et al. : Education in primary school as a strategy to control dengue. Rev. Soc. Bras. Med. Trop. 2002; 35 : 221–226. Publisher Full Text 22. Maskeri R, Jain A, Ullal S, et al. : Knowledge, Attitude and Practices (KAP) Regarding Malaria and its Prevention among Patients with Suspected Malaria in Mangaluru. Indian J. Public Health Res. Dev. 2018 Sep 1; 9 (9): 271–276. Publisher Full Text 23. Davidson CA, Scott JM, Hossain TH, et al. : Relationship between citizen knowledge, vegetation coverage, and frequency of requests for mosquito control service in St. Johns county, Florida. Technical Bulletin of the Florida Mosquito Control Association. 2016; 10 : 30–38. 24. Kampango A, Pinto J, Abílio AP, et al. : Characterisation of human exposure to nocturnal biting by malaria and arbovirus vectors in a rural community in Chókwè district, southern Mozambique. Wellcome Open Research. 2023; 8 : 193. PubMed Abstract | Publisher Full Text | Free Full Text 25. Mahgoub MM, Kweka EJ, Himeidan YE: Characterisation of larval habitats, species composition and factors associated with the seasonal abundance of mosquito fauna in Gezira, Sudan. Infect. Dis. Poverty. 2017 Dec; 6 : 1. Publisher Full Text 26. Mahalakshmi B, Sivasubramanian N, Vaghela P, et al. : Awareness on mosquito borne diseases among urban & rural population in Northern Gujarat. Bioinformation. 2022; 18 (7): 640–644. PubMed Abstract | Publisher Full Text | Free Full Text 27. Kumar A, Rao CR, Pandit V, et al. : Clinical manifestations and trend of dengue cases admitted in a tertiary care hospital, Udupi district, Karnataka. Indian J. Community Med. 2010 Jul 1; 35 (3): 386–390. PubMed Abstract | Publisher Full Text | Free Full Text 28. Tam DT, Clapham H, Giger E, et al. : Burden of postinfectious symptoms after acute dengue, Vietnam. Emerg. Infect. Dis. 2023 Jan; 29 (1): 160–163. PubMed Abstract | Publisher Full Text | Free Full Text 29. Dr Surendran J : VBD F1000Research data sheet. Dataset. figshare. 2025. Publisher Full Text 30. Dr Surendran J : EXTENDED DATA VBD F1000RESEARCH. Dataset. figshare. 2025. Publisher Full Text Comments on this article Comments (0) Version 4 VERSION 4 PUBLISHED 07 Jul 2025 ADD YOUR COMMENT Comment Author details Author details 1 Department of Community Medicine, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India 2 Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India Rekha T Roles: Methodology, Project Administration, Resources, Supervision, Validation Jithin Surendran Roles: Conceptualization, Data Curation, Formal Analysis, Investigation, Methodology, Project Administration, Resources, Supervision, Validation, Writing – Original Draft Preparation Sreedevi SR Roles: Data Curation, Formal Analysis, Investigation, Methodology, Resources Aishwariya Narasimhan Roles: Data Curation, Formal Analysis, Software Nihal R Shankar Roles: Data Curation, Investigation, Resources, Writing – Original Draft Preparation Arhan Vilas K Roles: Data Curation, Investigation, Resources Gayana Shree A N Roles: Data Curation, Investigation, Resources Hari Priya Muppala Roles: Data Curation, Investigation, Resources Faiz Abdulaziz Roles: Data Curation, Investigation Rohan HS Roles: Data Curation, Investigation Ameya Singh Roles: Data Curation, Investigation Competing interests No competing interests were disclosed. Grant information The author(s) declared that no grants were involved in supporting this work. Article Versions (4) version 4 Revised Published: 18 Dec 2025, 14:661 https://doi.org/10.12688/f1000research.164704.4 version 3 Revised Published: 26 Nov 2025, 14:661 https://doi.org/10.12688/f1000research.164704.3 version 2 Revised Published: 01 Sep 2025, 14:661 https://doi.org/10.12688/f1000research.164704.2 version 1 Published: 07 Jul 2025, 14:661 https://doi.org/10.12688/f1000research.164704.1 Copyright © 2025 T R et al . This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Download Export To Sciwheel Bibtex EndNote ProCite Ref. Manager (RIS) Sente metrics Views Downloads F1000Research - - PubMed Central info_outline Data from PMC are received and updated monthly. - - Citations open_in_new 0 open_in_new 0 open_in_new SEE MORE DETAILS CITE how to cite this article T R, Surendran J, SR S et al. Determinants of urban mosquito population density and community responses: A cross-sectional study [version 1; peer review: 1 approved, 1 not approved] . F1000Research 2025, 14 :661 ( https://doi.org/10.12688/f1000research.164704.1 ) NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS track receive updates on this article Track an article to receive email alerts on any updates to this article. TRACK THIS ARTICLE Share Open Peer Review Current Reviewer Status: ? Key to Reviewer Statuses VIEW HIDE Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions Version 1 VERSION 1 PUBLISHED 07 Jul 2025 Views 0 Cite How to cite this report: Bharathi DD. Reviewer Report For: Determinants of urban mosquito population density and community responses: A cross-sectional study [version 1; peer review: 1 approved, 1 not approved] . F1000Research 2025, 14 :661 ( https://doi.org/10.5256/f1000research.181258.r398023 ) The direct URL for this report is: https://f1000research.com/articles/14-661/v1#referee-response-398023 NOTE: it is important to ensure the information in square brackets after the title is included in this citation. Close Copy Citation Details Reviewer Report 22 Aug 2025 Dr Divya Bharathi , Kempegowda Institute of Medical Sciences, banglore, India Approved VIEWS 0 https://doi.org/10.5256/f1000research.181258.r398023 Title - informative and specific, can include the place of the study. Introduction- Para 2, Line - 2 the arthropods to these arthropods, should be corrected. Avoid redundancy (e.g., restating that mosquitoes transmit diseases multiple times). Review of ... Continue reading READ ALL Title - informative and specific, can include the place of the study. Introduction- Para 2, Line - 2 the arthropods to these arthropods, should be corrected. Avoid redundancy (e.g., restating that mosquitoes transmit diseases multiple times). Review of literature- relevant studies are incorporated. Methodology- Mention if multiple data collectors used and operational definitions for "moderate to severe mosquito nuisance" Discussion- Does not discuss possible confounders Conclusion- Well-summarized. Recognizes the knowledge–practice gap. Overall the study is Context-specific, regionally relevant.Combines environmental, behavioral, and health outcome data. Is the work clearly and accurately presented and does it cite the current literature? Yes Is the study design appropriate and is the work technically sound? Yes Are sufficient details of methods and analysis provided to allow replication by others? Yes If applicable, is the statistical analysis and its interpretation appropriate? Yes Are all the source data underlying the results available to ensure full reproducibility? Partly Are the conclusions drawn adequately supported by the results? Yes Competing Interests: No competing interests were disclosed. Reviewer Expertise: Communicable diseases, Rabies, Vector borne diseases, MCH I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. Close READ LESS CITE CITE HOW TO CITE THIS REPORT Bharathi DD. Reviewer Report For: Determinants of urban mosquito population density and community responses: A cross-sectional study [version 1; peer review: 1 approved, 1 not approved] . F1000Research 2025, 14 :661 ( https://doi.org/10.5256/f1000research.181258.r398023 ) The direct URL for this report is: https://f1000research.com/articles/14-661/v1#referee-response-398023 NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS Report a concern Author Response 15 Sep 2025 DR JITHIN SURENDRAN , Department of Community Medicine, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India 15 Sep 2025 Author Response Thank you very much for reviewing the revised manuscript and confirming your approval. I sincerely appreciate your careful reading, thoughtful feedback, and guidance, which have greatly contributed to improving the ... Continue reading Thank you very much for reviewing the revised manuscript and confirming your approval. I sincerely appreciate your careful reading, thoughtful feedback, and guidance, which have greatly contributed to improving the clarity, rigor, and overall quality of the article. . The manuscript has been further revised to address reviewer comments: in the Introduction, typographical errors (e.g., “the arthropods” → “to these arthropods”) have been corrected, and redundancy regarding mosquito-borne diseases has been removed. Relevant studies have been incorporated in the merged Review of Literature. The Discussion has been refined to acknowledge possible confounders, and the Conclusion highlights the knowledge–practice gap. Overall, the study remains context-specific and regionally relevant, integrating environmental, behavioral, and health outcome data to provide actionable insights. Your confirmation reassures us that the manuscript accurately reflects the study’s objectives and findings. Thanking you With regards Corresponding author Thank you very much for reviewing the revised manuscript and confirming your approval. I sincerely appreciate your careful reading, thoughtful feedback, and guidance, which have greatly contributed to improving the clarity, rigor, and overall quality of the article. . The manuscript has been further revised to address reviewer comments: in the Introduction, typographical errors (e.g., “the arthropods” → “to these arthropods”) have been corrected, and redundancy regarding mosquito-borne diseases has been removed. Relevant studies have been incorporated in the merged Review of Literature. The Discussion has been refined to acknowledge possible confounders, and the Conclusion highlights the knowledge–practice gap. Overall, the study remains context-specific and regionally relevant, integrating environmental, behavioral, and health outcome data to provide actionable insights. Your confirmation reassures us that the manuscript accurately reflects the study’s objectives and findings. Thanking you With regards Corresponding author Competing Interests: No competing interests Close Report a concern Respond or Comment COMMENTS ON THIS REPORT Author Response 15 Sep 2025 DR JITHIN SURENDRAN , Department of Community Medicine, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India 15 Sep 2025 Author Response Thank you very much for reviewing the revised manuscript and confirming your approval. I sincerely appreciate your careful reading, thoughtful feedback, and guidance, which have greatly contributed to improving the ... Continue reading Thank you very much for reviewing the revised manuscript and confirming your approval. I sincerely appreciate your careful reading, thoughtful feedback, and guidance, which have greatly contributed to improving the clarity, rigor, and overall quality of the article. . The manuscript has been further revised to address reviewer comments: in the Introduction, typographical errors (e.g., “the arthropods” → “to these arthropods”) have been corrected, and redundancy regarding mosquito-borne diseases has been removed. Relevant studies have been incorporated in the merged Review of Literature. The Discussion has been refined to acknowledge possible confounders, and the Conclusion highlights the knowledge–practice gap. Overall, the study remains context-specific and regionally relevant, integrating environmental, behavioral, and health outcome data to provide actionable insights. Your confirmation reassures us that the manuscript accurately reflects the study’s objectives and findings. Thanking you With regards Corresponding author Thank you very much for reviewing the revised manuscript and confirming your approval. I sincerely appreciate your careful reading, thoughtful feedback, and guidance, which have greatly contributed to improving the clarity, rigor, and overall quality of the article. . The manuscript has been further revised to address reviewer comments: in the Introduction, typographical errors (e.g., “the arthropods” → “to these arthropods”) have been corrected, and redundancy regarding mosquito-borne diseases has been removed. Relevant studies have been incorporated in the merged Review of Literature. The Discussion has been refined to acknowledge possible confounders, and the Conclusion highlights the knowledge–practice gap. Overall, the study remains context-specific and regionally relevant, integrating environmental, behavioral, and health outcome data to provide actionable insights. Your confirmation reassures us that the manuscript accurately reflects the study’s objectives and findings. Thanking you With regards Corresponding author Competing Interests: No competing interests Close Report a concern COMMENT ON THIS REPORT Views 0 Cite How to cite this report: Khan S. Reviewer Report For: Determinants of urban mosquito population density and community responses: A cross-sectional study [version 1; peer review: 1 approved, 1 not approved] . F1000Research 2025, 14 :661 ( https://doi.org/10.5256/f1000research.181258.r400061 ) The direct URL for this report is: https://f1000research.com/articles/14-661/v1#referee-response-400061 NOTE: it is important to ensure the information in square brackets after the title is included in this citation. Close Copy Citation Details Reviewer Report 13 Aug 2025 Siraj Khan , ICMR-Regional Medical Research Centre, Lahowal, India Not Approved VIEWS 0 https://doi.org/10.5256/f1000research.181258.r400061 Summary The article entitled ‘ Determinants of urban mosquito population density and community responses: A cross-sectional study’ is well written and emphasizes the importance of community-based interventions and identifies gaps in local authority involvement, which can influence municipal policy. While ... Continue reading READ ALL Summary The article entitled ‘ Determinants of urban mosquito population density and community responses: A cross-sectional study’ is well written and emphasizes the importance of community-based interventions and identifies gaps in local authority involvement, which can influence municipal policy. While the study is relevant and well-organized, it requires stronger justification of its novelty, broader statistical analysis, and clearer resolution of paradoxical findings regarding preventive practices. Addressing these would significantly improve the rigor and clarity of the manuscript. 1. Is the work clearly and accurately presented and does it cite the current literature? a. ‘An initial survey conducted in Mangalore taluk identified 26 mosquito species across six genera’- add reference here. b. Several references are cited without corresponding numbers in the bibliography (e.g., references 14–21). Ensure accurate and complete citation. 2.If applicable, is the statistical analysis and its interpretation appropriate? a. The sample size (n=95) is small for making generalizable statements, especially in a city with high heterogeneity in socioeconomic and environmental factors. b. The statistical data will be more reliable when it is presented confidence intervals in addition to p-values. c. The households using coils and repellents had higher disease prevalence is discussed but not thoroughly explained. Could reverse causation or confounding (e.g., higher-density mosquito areas using more coils) be responsible? d. No multivariate analysis e.g., logistic regression was performed, which could have clarified confounding between overlapping risk factors like vegetation, construction, and socioeconomic variables. 3. Are the conclusions drawn adequately supported by the results? a. While the problem is important, similar studies have been published in other endemic settings. Authors are advised to clearly express the novelty—what new insights does this paper provide that prior research (e.g., Wilke et al., 2020; Garbin et al., 2021) did not. b. The graphical representation of data is more understandable as demographic data is concerned. Other comments a . Scientific names like Aedes aegypti and Anopheles should be consistently italicized. 'b. Aedes aegypti and Aedes albopictus are mosquitoes that belong to the Culicines category,’ -what does ‘category’ means here? c. Review of literature section can be merged with Introduction section. Is the work clearly and accurately presented and does it cite the current literature? Partly Is the study design appropriate and is the work technically sound? Yes Are sufficient details of methods and analysis provided to allow replication by others? Yes If applicable, is the statistical analysis and its interpretation appropriate? Partly Are all the source data underlying the results available to ensure full reproducibility? Yes Are the conclusions drawn adequately supported by the results? Partly Competing Interests: No competing interests were disclosed. Reviewer Expertise: Medical Entomology, Vector borne Diseases, Rickettsial diseases, Public health research I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above. Close READ LESS CITE CITE HOW TO CITE THIS REPORT Khan S. Reviewer Report For: Determinants of urban mosquito population density and community responses: A cross-sectional study [version 1; peer review: 1 approved, 1 not approved] . F1000Research 2025, 14 :661 ( https://doi.org/10.5256/f1000research.181258.r400061 ) The direct URL for this report is: https://f1000research.com/articles/14-661/v1#referee-response-400061 NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS Report a concern Author Response 15 Sep 2025 DR JITHIN SURENDRAN , Department of Community Medicine, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India 15 Sep 2025 Author Response We would like to express our gratitude to the reviewer for the insightful and constructive feedback on our manuscript. The comments have been invaluable in refining the manuscript, and we ... Continue reading We would like to express our gratitude to the reviewer for the insightful and constructive feedback on our manuscript. The comments have been invaluable in refining the manuscript, and we have addressed each suggestion thoroughly in the responses below. 1 a. " An initial survey conducted in Mangalore taluk identified 26 mosquito species across six genera "- The reference has been added as suggested. 1.b. Several references are cited without corresponding numbers in the bibliography- All references have been thoroughly verified to ensure that the citations are accurate and complete. 2 a. The sample size (n=95) is small for making generalizable statements, especially in a city with high heterogeneity in socioeconomic and environmental factors- We ensured representative coverage across wards by dividing the households equally among the selected 5 wards (19 households per ward) out of 60 wards. The sampling strategy has been mentioned in methodology. Hope, this systematic approach maximize representativeness and reduce selection bias within the constraints of the study. 2.b. The statistical data will be more reliable when it is presented confidence intervals in addition to p-values- The table 7 & 8 have been revised to present odds ratios with 95% confidence intervals alongside the previously reported p-values. 2.c The households using coils and repellents had higher disease prevalence is discussed but not thoroughly explained. Could reverse causation or confounding (e.g., higher-density mosquito areas using more coils) be responsible?- The justification has been provided in the last paragraph of discussion section. 2.d. No multivariate analysis e.g., logistic regression was performed, which could have clarified confounding between overlapping risk factors like vegetation, construction, and socioeconomic variables- The table 7 & 8 have been revised incorporating logistic regression analysis. 3.a. While the problem is important, similar studies have been published in other endemic settings. Authors are advised to clearly express the novelty—what new insights does this paper provide that prior research (e.g., Wilke et al., 2020; Garbin et al., 2021) did not- The study adopts novel objectives, focusing on an integrated approach that identifies key determinants of mosquito presence while simultaneously evaluating community measures, perceptions, and self-reported disease burden, providing context-specific insights from Mangalore that extend beyond previous studies in other settings. This has been incorporated into the conclusion. 3.b. The graphical representation of data is more understandable as demographic data is concerned- We appreciate the suggestion regarding graphical representation. However, we have retained the tabular format for demographic data, as it allow us for clear presentation of detailed counts and percentages across multiple categories, which may be less effectively conveyed in graphs. a . Scientific names like Aedes aegypti and Anopheles should be consistently italicized- This has been incorporated across the article. b. Aedes aegypti and Aedes albopictus are mosquitoes that belong to the Culicines category,’ -what does ‘category’ means here?- This has been revised in introduction section Para 3, line 1. c. Review of literature section can be merged with Introduction section- The Review of Literature section has been merged with the Introduction We sincerely thank the reviewer for their valuable time, insightful comments, and constructive suggestions, which have greatly helped us improve the clarity, rigor, and overall quality of our manuscript. We hope that the revisions adequately address all concerns, and we look forward to the reviewer’s further feedback. We would like to express our gratitude to the reviewer for the insightful and constructive feedback on our manuscript. The comments have been invaluable in refining the manuscript, and we have addressed each suggestion thoroughly in the responses below. 1 a. " An initial survey conducted in Mangalore taluk identified 26 mosquito species across six genera "- The reference has been added as suggested. 1.b. Several references are cited without corresponding numbers in the bibliography- All references have been thoroughly verified to ensure that the citations are accurate and complete. 2 a. The sample size (n=95) is small for making generalizable statements, especially in a city with high heterogeneity in socioeconomic and environmental factors- We ensured representative coverage across wards by dividing the households equally among the selected 5 wards (19 households per ward) out of 60 wards. The sampling strategy has been mentioned in methodology. Hope, this systematic approach maximize representativeness and reduce selection bias within the constraints of the study. 2.b. The statistical data will be more reliable when it is presented confidence intervals in addition to p-values- The table 7 & 8 have been revised to present odds ratios with 95% confidence intervals alongside the previously reported p-values. 2.c The households using coils and repellents had higher disease prevalence is discussed but not thoroughly explained. Could reverse causation or confounding (e.g., higher-density mosquito areas using more coils) be responsible?- The justification has been provided in the last paragraph of discussion section. 2.d. No multivariate analysis e.g., logistic regression was performed, which could have clarified confounding between overlapping risk factors like vegetation, construction, and socioeconomic variables- The table 7 & 8 have been revised incorporating logistic regression analysis. 3.a. While the problem is important, similar studies have been published in other endemic settings. Authors are advised to clearly express the novelty—what new insights does this paper provide that prior research (e.g., Wilke et al., 2020; Garbin et al., 2021) did not- The study adopts novel objectives, focusing on an integrated approach that identifies key determinants of mosquito presence while simultaneously evaluating community measures, perceptions, and self-reported disease burden, providing context-specific insights from Mangalore that extend beyond previous studies in other settings. This has been incorporated into the conclusion. 3.b. The graphical representation of data is more understandable as demographic data is concerned- We appreciate the suggestion regarding graphical representation. However, we have retained the tabular format for demographic data, as it allow us for clear presentation of detailed counts and percentages across multiple categories, which may be less effectively conveyed in graphs. a . Scientific names like Aedes aegypti and Anopheles should be consistently italicized- This has been incorporated across the article. b. Aedes aegypti and Aedes albopictus are mosquitoes that belong to the Culicines category,’ -what does ‘category’ means here?- This has been revised in introduction section Para 3, line 1. c. Review of literature section can be merged with Introduction section- The Review of Literature section has been merged with the Introduction We sincerely thank the reviewer for their valuable time, insightful comments, and constructive suggestions, which have greatly helped us improve the clarity, rigor, and overall quality of our manuscript. We hope that the revisions adequately address all concerns, and we look forward to the reviewer’s further feedback. Competing Interests: No competing interests were disclosed. Close Report a concern Respond or Comment COMMENTS ON THIS REPORT Author Response 15 Sep 2025 DR JITHIN SURENDRAN , Department of Community Medicine, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India 15 Sep 2025 Author Response We would like to express our gratitude to the reviewer for the insightful and constructive feedback on our manuscript. The comments have been invaluable in refining the manuscript, and we ... Continue reading We would like to express our gratitude to the reviewer for the insightful and constructive feedback on our manuscript. The comments have been invaluable in refining the manuscript, and we have addressed each suggestion thoroughly in the responses below. 1 a. " An initial survey conducted in Mangalore taluk identified 26 mosquito species across six genera "- The reference has been added as suggested. 1.b. Several references are cited without corresponding numbers in the bibliography- All references have been thoroughly verified to ensure that the citations are accurate and complete. 2 a. The sample size (n=95) is small for making generalizable statements, especially in a city with high heterogeneity in socioeconomic and environmental factors- We ensured representative coverage across wards by dividing the households equally among the selected 5 wards (19 households per ward) out of 60 wards. The sampling strategy has been mentioned in methodology. Hope, this systematic approach maximize representativeness and reduce selection bias within the constraints of the study. 2.b. The statistical data will be more reliable when it is presented confidence intervals in addition to p-values- The table 7 & 8 have been revised to present odds ratios with 95% confidence intervals alongside the previously reported p-values. 2.c The households using coils and repellents had higher disease prevalence is discussed but not thoroughly explained. Could reverse causation or confounding (e.g., higher-density mosquito areas using more coils) be responsible?- The justification has been provided in the last paragraph of discussion section. 2.d. No multivariate analysis e.g., logistic regression was performed, which could have clarified confounding between overlapping risk factors like vegetation, construction, and socioeconomic variables- The table 7 & 8 have been revised incorporating logistic regression analysis. 3.a. While the problem is important, similar studies have been published in other endemic settings. Authors are advised to clearly express the novelty—what new insights does this paper provide that prior research (e.g., Wilke et al., 2020; Garbin et al., 2021) did not- The study adopts novel objectives, focusing on an integrated approach that identifies key determinants of mosquito presence while simultaneously evaluating community measures, perceptions, and self-reported disease burden, providing context-specific insights from Mangalore that extend beyond previous studies in other settings. This has been incorporated into the conclusion. 3.b. The graphical representation of data is more understandable as demographic data is concerned- We appreciate the suggestion regarding graphical representation. However, we have retained the tabular format for demographic data, as it allow us for clear presentation of detailed counts and percentages across multiple categories, which may be less effectively conveyed in graphs. a . Scientific names like Aedes aegypti and Anopheles should be consistently italicized- This has been incorporated across the article. b. Aedes aegypti and Aedes albopictus are mosquitoes that belong to the Culicines category,’ -what does ‘category’ means here?- This has been revised in introduction section Para 3, line 1. c. Review of literature section can be merged with Introduction section- The Review of Literature section has been merged with the Introduction We sincerely thank the reviewer for their valuable time, insightful comments, and constructive suggestions, which have greatly helped us improve the clarity, rigor, and overall quality of our manuscript. We hope that the revisions adequately address all concerns, and we look forward to the reviewer’s further feedback. We would like to express our gratitude to the reviewer for the insightful and constructive feedback on our manuscript. The comments have been invaluable in refining the manuscript, and we have addressed each suggestion thoroughly in the responses below. 1 a. " An initial survey conducted in Mangalore taluk identified 26 mosquito species across six genera "- The reference has been added as suggested. 1.b. Several references are cited without corresponding numbers in the bibliography- All references have been thoroughly verified to ensure that the citations are accurate and complete. 2 a. The sample size (n=95) is small for making generalizable statements, especially in a city with high heterogeneity in socioeconomic and environmental factors- We ensured representative coverage across wards by dividing the households equally among the selected 5 wards (19 households per ward) out of 60 wards. The sampling strategy has been mentioned in methodology. Hope, this systematic approach maximize representativeness and reduce selection bias within the constraints of the study. 2.b. The statistical data will be more reliable when it is presented confidence intervals in addition to p-values- The table 7 & 8 have been revised to present odds ratios with 95% confidence intervals alongside the previously reported p-values. 2.c The households using coils and repellents had higher disease prevalence is discussed but not thoroughly explained. Could reverse causation or confounding (e.g., higher-density mosquito areas using more coils) be responsible?- The justification has been provided in the last paragraph of discussion section. 2.d. No multivariate analysis e.g., logistic regression was performed, which could have clarified confounding between overlapping risk factors like vegetation, construction, and socioeconomic variables- The table 7 & 8 have been revised incorporating logistic regression analysis. 3.a. While the problem is important, similar studies have been published in other endemic settings. Authors are advised to clearly express the novelty—what new insights does this paper provide that prior research (e.g., Wilke et al., 2020; Garbin et al., 2021) did not- The study adopts novel objectives, focusing on an integrated approach that identifies key determinants of mosquito presence while simultaneously evaluating community measures, perceptions, and self-reported disease burden, providing context-specific insights from Mangalore that extend beyond previous studies in other settings. This has been incorporated into the conclusion. 3.b. The graphical representation of data is more understandable as demographic data is concerned- We appreciate the suggestion regarding graphical representation. However, we have retained the tabular format for demographic data, as it allow us for clear presentation of detailed counts and percentages across multiple categories, which may be less effectively conveyed in graphs. a . Scientific names like Aedes aegypti and Anopheles should be consistently italicized- This has been incorporated across the article. b. Aedes aegypti and Aedes albopictus are mosquitoes that belong to the Culicines category,’ -what does ‘category’ means here?- This has been revised in introduction section Para 3, line 1. c. Review of literature section can be merged with Introduction section- The Review of Literature section has been merged with the Introduction We sincerely thank the reviewer for their valuable time, insightful comments, and constructive suggestions, which have greatly helped us improve the clarity, rigor, and overall quality of our manuscript. We hope that the revisions adequately address all concerns, and we look forward to the reviewer’s further feedback. Competing Interests: No competing interests were disclosed. Close Report a concern COMMENT ON THIS REPORT Comments on this article Comments (0) Version 4 VERSION 4 PUBLISHED 07 Jul 2025 ADD YOUR COMMENT Comment keyboard_arrow_left keyboard_arrow_right Open Peer Review Reviewer Status info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions Reviewer Reports Invited Reviewers 1 2 3 4 5 Version 4 (revision) 18 Dec 25 read read Version 3 (revision) 26 Nov 25 read read Version 2 (revision) 01 Sep 25 read Version 1 07 Jul 25 read read Siraj Khan , ICMR-Regional Medical Research Centre, Lahowal, India Dr Divya Bharathi , Kempegowda Institute of Medical Sciences, banglore, India Kristan Alexander Schneider , University of Applied Sciences Mittweida, Mittweida, Germany Asma Rahim , Government Medical College, Kozhikode, India Oluwaseun Adegbola Adesoye , University of Abuja, Abuja, Nigeria Comments on this article All Comments (0) Add a comment Sign up for content alerts Sign Up You are now signed up to receive this alert Browse by related subjects keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2026 Rahim A. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 02 Jan 2026 | for Version 4 Asma Rahim , Government Medical College, Kozhikode, India 0 Views copyright © 2026 Rahim A. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (0) Approved info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions The authors have addressed the points for revision raised by me satisfactorily. This article is fit for indexing. Competing Interests No competing interests were disclosed. Reviewer Expertise Public health , Community Rheumatology, Health professions education I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. reply Respond to this report Responses (0) Rahim A. Peer Review Report For: Determinants of urban mosquito population density and community responses: A cross-sectional study [version 1; peer review: 1 approved, 1 not approved] . F1000Research 2025, 14 :661 ( https://doi.org/10.5256/f1000research.193548.r442634) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/14-661/v4#referee-response-442634 keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2026 Adesoye O. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 02 Jan 2026 | for Version 4 Oluwaseun Adegbola Adesoye , University of Abuja, Abuja, Nigeria 0 Views copyright © 2026 Adesoye O. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (0) Approved With Reservations info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions The work is clearly stated and well presented. However, some references cited are too old. For instance, reference 22 and 27 is too old since the work examines recent happening that aids mosquito proliferation. Also, some major statistical interpretations are incorrect. For instance, there were no statistical association according to your multivariable analysis, yet, your paper keep saying construction sites and water stagnation are strong determinant. This has be modified. Further more, use of P at 0.02 threshold has to be justified with standard epidemiological work. Most importantly, since no entomological indices such as larval count, adult house index was measure, the title and the conclusion/recommendation exceed strength of evidence provided. Thus, recommendation should be Precautionary and Perception0informed and not evidence. Also, 'Mosquito density' used in title, tables etc could be modified into something like 'Perceived mosquito density' since this is not measured Is the work clearly and accurately presented and does it cite the current literature? Partly Is the study design appropriate and is the work technically sound? Yes Are sufficient details of methods and analysis provided to allow replication by others? Yes If applicable, is the statistical analysis and its interpretation appropriate? Partly Are all the source data underlying the results available to ensure full reproducibility? Yes Are the conclusions drawn adequately supported by the results? No Competing Interests No competing interests were disclosed. Reviewer Expertise Applied Entomology, Medical and Molecular Entomology I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. reply Respond to this report Responses (0) Adesoye OA. Peer Review Report For: Determinants of urban mosquito population density and community responses: A cross-sectional study [version 1; peer review: 1 approved, 1 not approved] . F1000Research 2025, 14 :661 ( https://doi.org/10.5256/f1000research.193548.r443038) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/14-661/v4#referee-response-443038 keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2025 Khan S. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 13 Dec 2025 | for Version 3 Siraj Khan , ICMR-Regional Medical Research Centre, Lahowal, India 0 Views copyright © 2025 Khan S. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (0) Approved info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions The authors have thoroughly addressed all the comments raised in the initial review, providing clear revisions and satisfactory clarifications wherever required. The manuscript has improved substantially in terms of clarity, methodological presentation, and overall scientific quality. All major and minor concerns have been resolved, and no further revisions are necessary at this stage. Therefore, I recommend that the manuscript be accepted for indexing. Competing Interests No competing interests were disclosed. Reviewer Expertise Medical Entomology, Arbovirology, Rickettsial Diseases, Public health I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. reply Respond to this report Responses (0) Khan S. Peer Review Report For: Determinants of urban mosquito population density and community responses: A cross-sectional study [version 1; peer review: 1 approved, 1 not approved] . F1000Research 2025, 14 :661 ( https://doi.org/10.5256/f1000research.191677.r436213) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/14-661/v3#referee-response-436213 keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2025 Rahim A. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 11 Dec 2025 | for Version 3 Asma Rahim , Government Medical College, Kozhikode, India 0 Views copyright © 2025 Rahim A. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (1) Approved With Reservations info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions Introduction — add a paragraph on coastal urban vector ecology and novelty of Mangalore Add a conceptual framework ( WHO’s integrated vector management or ecosocial framework) Split the research questions into Primary and secondary . Objectives (rewrite, split primary/secondary).Eg:Primary objective • To identify environmental and household determinants associated with increased mosquito presence in the urban field practice area of Mangalore. Secondary objectives • To describe household-level preventive practices and community perceptions towards mosquito-borne diseases. • To estimate the prevalence of self-reported mosquito-borne disease in the last 12 months and assess associations with environmental and behavioral factors after adjustment. Methods — Questionnaire validation (insert a concise methods paragraph).add content validity, pilot test, and Cronbach’s alpha for each construct. Methods — Operational definitions (insert a short table or list), Mosquito presence (household level, Nuisance score, Self-reported mosquito-borne disease, Water stagnation. Eg . Visible standing water that persisted for >48 hours after rain or due to blocked drains in the household compound or immediate neighbourhood. Sampling : clarify purposive ward selection, add random start for street sampling, acknowledge exclusion of apartments. Analysis: Add multivariable logistic regression. Results: rewrite causal statements, clean tables, add CIs and adjusted ORs. Tables — formatting checklist Each table: give a clear title, state N for the analysis, and column denominators. For categorical comparisons, show counts and percentages: “n (%)”. For key associations, present crude OR (95% CI) and adjusted OR (95% CI) in a single table. Ensure p-values match the test used and report exact values (not only “0.00” or “<0.05”). Fix Table numbering and remove “continued” fragments by merging or reformatting long tables. 11. Discussion: add explanation of key findings, strengths and limitations, policy implications. 12. Limitations: Add an explicit paragraph about seasonality, selection bias, and self-reporting. Is the work clearly and accurately presented and does it cite the current literature? Partly Is the study design appropriate and is the work technically sound? Partly Are sufficient details of methods and analysis provided to allow replication by others? Partly If applicable, is the statistical analysis and its interpretation appropriate? Partly Are all the source data underlying the results available to ensure full reproducibility? Yes Are the conclusions drawn adequately supported by the results? Partly Competing Interests No competing interests were disclosed. Reviewer Expertise Public health , Community Rheumatology, Health professions education I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. reply Respond to this report Responses (1) Author Response 09 Jan 2026 DR JITHIN SURENDRAN, Department of Community Medicine, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India 1. Introduction — Addition on coastal urban vector ecology and relevance to Mangalore Response: We thank the reviewer for the suggestion. We have incorporated a dedicated paragraph describing coastal urban vector ecology, highlighting the influence of relative humidity and artificial breeding habitats on Anopheles stephensi proliferation, with contextual relevance to Mangalore’s humid coastal environment. 2. Conceptual framework —Addition of Eco-social framework Response: As advised, we have added a section on the eco-social framework to explain the multilevel pathways linking environmental, structural, and behavioural factors to vector proliferation In the last paragraph of introduction. 3. Research questions — Split into primary and secondary Response: The research questions have now been clearly divided into primary and secondary categories. 4. Objectives — Rewritten and split into primary and secondary Response: We have revised the objectives section to explicitly distinguish: Primary objective: Identifying environmental and household determinants associated with mosquito presence. Secondary objectives: Describing preventive practices, community perceptions, and estimating the prevalence of self-reported mosquito-borne diseases with adjusted associations. 5. Methods — Questionnaire validation (content validity, pilot testing, reliability) Response: We have added a concise paragraph on questionnaire validation. This includes details on expert content validation, pilot testing among 20 households and subsequent revisions, and Cronbach’s alpha (≥0.7) for internal consistency. This meets methodological rigor expected for community-based KAP and environmental assessment tools. 6. Methods — Operational definitions Response: definitions for all key variables—mosquito presence, nuisance score, self-reported mosquito-borne disease, and water stagnation—have been added. These definitions were included as a structured text for clarity and reproducibility. 7. Sampling — Clarified purposive ward selection, random start, and apartment exclusion Response: The sampling description was expanded to clarify purposive selection of wards, the use of a random start for street sampling, selection of every 3rd household, and acknowledgement of exclusion of apartment complexes due to restricted access. 8. Analysis — Addition of multivariable logistic regression Response: As suggested, we have added multivariable logistic regression in the analysis section to identify independent predictors of mosquito presence, preventive behaviours, and mosquito-borne disease. 9. Results — Revised causal wording, cleaned tables, added CIs and adjusted ORs Response: All causal statements have been revised to ensure appropriate observational language. Tables have been reformatted to include n (%), 95% CIs, and both crude and adjusted ORs in a unified format. Formatting inconsistencies have been corrected, and “continued” fragments removed. 10. Tables — Formatting fixes applied Response: We thank the reviewer for the detailed checklist. Each table now includes: A clear title and sample size, Column denominators, n (%) for categorical variables, crude and adjusted ORs with 95% CIs, correct p-values with appropriate reporting, corrected numbering and removal of unnecessary fragments. 11. Discussion — Added strengths, limitations, and policy implications Response: Strengths—such as systematic sampling, validated tools, and multidimensional assessment—are now clearly articulated. Policy implications relevant to NVBDCP and municipal vector control have also been added. 12. Limitations — Added paragraph on seasonality, selection bias, and self-report Response: We have added an explicit limitations paragraph acknowledging: Timing of data collection (post-monsoon transitional period), potential selection bias due to exclusion of apartments (In methodology), social desirability and recall bias in self-reported behaviours and illness. View more View less Competing Interests No competing interests were disclosed. reply Respond Report a concern Rahim A. Peer Review Report For: Determinants of urban mosquito population density and community responses: A cross-sectional study [version 1; peer review: 1 approved, 1 not approved] . F1000Research 2025, 14 :661 ( https://doi.org/10.5256/f1000research.191677.r436695) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/14-661/v3#referee-response-436695 keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2025 Schneider K. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 10 Nov 2025 | for Version 2 Kristan Alexander Schneider , University of Applied Sciences Mittweida, Mittweida, Germany 0 Views copyright © 2025 Schneider K. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (1) Not Approved info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions I have reservations against the current version of the article, regarding its format, methodology and content, which I want to lay out below. Major comments Format of the article: The result section of the article consists only of tables, without any text describing and explaining the results. The description of the results is mixed into the discussion section. The discussion lacks to critically reflect on limitations, but provides background information, which is better suite for the introduction. Abstract: Results: Sometimes percentages are reported as decimal numbers, sometimes spelled out as words. This inconsistency should be avoided, and ideally confidence intervals should be reported too (e.g. exact binomial confidence intervals). When analyzing outcomes of individual questions in the questionnaire, adjustments for multiple testing (e.g. Holm’s correction for FWER) should be applied. To me, it seems neither “water stagnation” nor “construction activity” would have a significant association with mosquito abundance once a correction for multiple testing is applied. Conclusions: The conclusions do not reflect the results. If 92% of respondents are aware of mosquito-borne diseases, which is higher than the 91.5% of households that use chemical mosquito prevention, it is hardly justified to claim that there is “a gap in community knowledge and perception of mosquito-borne diseases, even though people are aware of basic precautions,…”. The conclusions should be aligned with the actual findings. Introduction: “7,00,000 deaths” should presumably read “700,000 deaths”. This number needs to be commented. Malaria causes 600,000 to 700,000 deaths per year, whereas other mosquito-borne diseases cause tens of thousands. These numbers should be broken down in more detail. The statement “India accounts for 79% of the global malaria burden” cannot be true since 94% of cases and 95% of deaths occur in sub-Sahara Africa. What is true is that India accounts for the majority (around 52%) of malaria cases outside Africa. Furthermore, the information on Anopheles should be formulated more carefully. Not all Anopheles species breed in clean water. The urban vector Anopheles stephensi , which becomes invasive in many countries, is known to bead also in unclean water ( A. stephensi is prevalent in the study area, cf. Ghosh et al. 2008; this should be mentioned). Moreover, several Anopheles species were reported to shift towards more diurnal biting behavior after being targeted by IRS and after deployment of LLITNs. I suggest including a map of the study side alongside some of the key climatic characteristics etc. of the region. The last sentence of the introduction should be avoided. Objectives: Whole sentences should be used in this section. Methodology: I do not understand the sample size calculation. It resembles a bit Cochran’s formula but, it has some errors. Before a sample size can be determined, there must be a clear analysis plan. Based on these specifics, the sample size has to be determined. The current formula has some problems. If it is Cochran’s formula Z a 2 , should be Z 2 , with Z =1.96 being the 97.5% quantile of the standard normal distribution rather than the 95% confidence interval. Second, d2 should be d 2 , with d being the margin of error, rather than the relative precision (whatever this should be). In any case it is unclear how the authors arrive at a sample size of N=95 . With Cochran’s formula and 20% non-responders, I calculated N=68 . In the second paragraph on page 6 the methodology of the questionnaire cannot be assessed. The sentence “A pretested internally validated physical questionnaire designed after extensive literature review…” dose not sufficiently describe the methodology. A description how the literature research was performed is necessary. It should also explain in detail how the questionnaire was validated and by whom. It should be more prominently stated that the is provided as supplement. I am also wondering whether the questionnaire asked about insecticide resistance. This is an issue in the area given that A. stephensi is prevalent there. Results: The result section lacks any main text. Rather tables are listed without any description. In general, it is good practice to provide confidence intervals alongside the frequency estimates. Regarding the information in Table 1, 5.2% of the participants are illiterate. I am wondering how these participants completed the questionnaire. This needs to be described in the methods. I find the questions and answers in Table 2 rather unfortunate. Presumable because not the actual question is provided. For instance, “Presence of mosquitoes inside the house” sounds like a dichotomous question to me, or like a quantitative question, however the answers “Mild”, and “Moderate to Severe” are rather qualitative. It is also unclear from the questionnaire what exactly was reported and which questions and how they were aggregated. “Time of the day when mosquitoes mostly bite” has answers “Morning”, “Evening”, and “Night”. These answers are unfortunate, since there is no clear-cut definition for “Morning”, “Evening”, and “Night”. To some 10pm might be evening, to others it would be night. Moreover, this might not have anything to do with the actual biting behavior, because it is not uncommon to not notice when mosquitoes are biting. If you wake up with a couple of mosquito bites, it is unclear when they bite. I also found the possible answers “Mild” and “Moderate to Severe” to the question “Overall mosquito nuisance in locality compared to past one year” not ideal. What is if mosquito nuisance is significantly reduced in comparison to the previous years. “Mild” is not a good qualitative summary of significantly less. In Table 7, I am wondering about the mosquito born diseases. Apparently, of the 28 persons, who suffered from a mosquito borne disease, 71.4% had dengue. While dengue incidence is 2.5 times higher than malaria in the region, this seems to fit in the picture. However, in this context it is important to note that several serotypes circulate in this area (DENV-2, DENV-3, and also DENV-1). Since one acquires lasting immunity against the first infecting serotype (which typically cause mild infections with unspecific symptoms) and temporal immunity against the others, one can make the implication that the persons with a dengue infection had a severe infection. Otherwise, dengue would not be diagnosed. It is important to discuss these facts. Discussion: The first two lines make little sense given the study design. The study was conducted in an urban setting close to the Medical College. Hence, it is not surprising that study participants report good access to healthcare. Moreover, the access to healthcare is less important than the ability to properly diagnose vector-borne diseases. Furthermore, the study had a focus on mosquitoes, not on healthcare access. The rest of the first paragraph also makes no sense. The study in Florida is concerned with a totally different mosquito population. I do not see the connection between residents in Florida feeling bothered by mosquitoes and a population in India. The compassion between India and Mozambique in the second paragraph also is of limited relevance. Also, the relevance of the fourth and fifth paragraph is unclear to me. The third paragraph states that 50% of the mosquitoes were often found inside the house. I cannot find this result in any of the Tables. The first paragraph on page 13 should discuss dengue in more detail. Conclusions: It is stated that the study adopts a “novel,” integrated approach. To me, it is unclear what is novel about a questionnaire? The term “correlation” is not correctly used. Correlations between metric (or ordinal) variables. Otherwise, it is an association. In general, I miss a clear discussion on the limitations of the study. I also think spatial repellants or larvicides should be discussed somewhere in the text. Minor comments Abstract: I suggest using whole sentences under the heading “Objectives”. Be specific about the study area and explain what the “Department of Community Medicine” is. Results: “… as mosquito preventive measure.” -> “… for mosquito prevention.” Introduction: When you mention dengue and chikungunya, you might also mention West Nile virus. Is the work clearly and accurately presented and does it cite the current literature? No Is the study design appropriate and is the work technically sound? Partly Are sufficient details of methods and analysis provided to allow replication by others? No If applicable, is the statistical analysis and its interpretation appropriate? Partly Are all the source data underlying the results available to ensure full reproducibility? Yes Are the conclusions drawn adequately supported by the results? No References 1. Ghosh S, Tiwari S, Raghavendra K, Sathyanarayan T, et al.: Observations on sporozoite detection in naturally infected sibling species of the Anopheles culicifacies complex and variant of Anopheles stephensi in India. Journal of Biosciences . 2008; 33 (3): 333-336 Publisher Full Text Competing Interests No competing interests were disclosed. Reviewer Expertise Global health, mathematical modeling, biostatistics, bioinformatics I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above. reply Respond to this report Responses (1) Author Response 26 Nov 2025 DR JITHIN SURENDRAN, Department of Community Medicine, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India We deeply appreciate the reviewer’s comprehensive and constructive comments. We have carefully addressed each point, and the manuscript has improved substantially as a result. Point-by-Point Response to Reviewer Comments Major Comments 1. Format of the article (Results section & Discussion) Response: A full narrative description has now been incorporated into the Results section. This text had been included in the earlier revised version of the manuscript but was unfortunately not visible to the reviewer during the previous round of assessment. All misplaced results were removed from the Discussion and relocated appropriately. Background content has been shifted to the Introduction. A detailed Limitations subsection has been added. 2. Abstract Response: Percentages are now presented consistently in numerical form. Exact binomial confidence intervals were added. Holm’s correction was applied for multiple comparisons, and results were updated—“water stagnation” and “construction activity” no longer show significant association. The Conclusions section has been fully revised to accurately reflect the study findings without overstating knowledge gaps. 3. Introduction Response: Global mortality figures were corrected and broken down. The statement on India’s contribution to global malaria burden was corrected to indicate its burden outside Africa. 4. Introduction – Anopheles ecology inaccuracies Response: Statements on Anopheles breeding habits were corrected. The role of A. stephensi, its prevalence locally, ability to breed in unclean water, and its shifting biting patterns have been incorporated with updated references (including Ghosh et al. 2008). 5. Study area map suggested Response: A geographical map of the study area has been added as a figure, along with a description of local climate and demographics. 6. Last line of introduction should be avoided Response: The final sentence of the introduction has been deleted. 7. Objectives not in complete sentences Response: Objectives have been rewritten into full, clear sentences. 8. Methodology – unclear sample size calculation Response: The sample size section has been rewritten using correct Cochran’s formula notation (Z² and d²). Assumptions are now clearly stated, and the revised calculation aligns with response rate considerations. 9. Methodology – insufficient description of questionnaire development and validation Response: A detailed explanation of questionnaire development—including literature review, item generation, pretesting, and validation—has been added. Content validation by three public health specialists and two medico-social workers was performed using a four-point Likert scale to derive I-CVI and S-CVI/Ave values. Items with I-CVI < 0.78 were revised or removed, and an S-CVI/Ave ≥ 0.8 confirmed good validity; the full questionnaire is now included as a supplementary file.” 10. Methodology – question about insecticide resistance Response: Questions were not included on insecticide resistance; this has now been explicitly stated under methodological limitations. 11. Results section lacked narrative and CIs Response: Comprehensive narrative text now accompanies each table. Exact binomial confidence intervals were added to all proportion estimates. 12. Table 1 – handling of illiterate participants unclear Response: Methods now explain that trained field investigators were administered the questionnaire orally to illiterate participants. 13. Table 2 – issues with response options, clarity, and interpretability Response: Table 2 has been revised for clarity. Question wording and response scales have been standardized, and explanatory notes added. Ambiguous qualitative categories have been justified in methodology and clarification on the categorization of mosquito biting times has been added directly within the respective table. 14. Table 7 – dengue proportion requires context of serotypes Response: Discussion now includes an explanation of dengue serotype circulation (DENV-1, 2, 3), immunity patterns, and why diagnosed cases likely reflect moderate–severe infections. 15. Discussion – irrelevant comparisons and unclear statements Response: Paragraphs on healthcare access, Florida mosquito study, and Mozambique comparison have been removed and rewritten for relevance respectively. Statements unsupported by results were removed. 16. Missing statement: 50% mosquitoes found inside homes Response: This statement was removed as it was not supported by data. 17. Dengue discussion insufficient Response: The dengue section has been expanded to include serotype diversity, severe disease likelihood, and regional epidemiology. 18. Conclusions – novelty claim incorrect; misuse of “correlation” Response: Claims of novelty have been removed, and the conclusions now focus on the integrated approach used as study objectives. The term “association” is now used appropriately throughout. 19. Missing Limitations & omission of spatial repellents/larvicides Response: A detailed Limitations section has been added, including the absence of entomological indices and resistance testing. Discussion now includes spatial repellents and larvicidal interventions. Minor Comments 1. Objectives should use full sentences Response: Revised accordingly. 2. Abstract: specify study area and “Department of Community Medicine” Response: The abstract now specifies the study area and explains the institutional context. 3. Abstract: “mosquito preventive measure” wording Response: Corrected to “for mosquito prevention.” 4. Introduction: mention West Nile virus Response: West Nile virus has been included in the list of mosquito-borne diseases. View more View less Competing Interests Nil reply Respond Report a concern Schneider KA. Peer Review Report For: Determinants of urban mosquito population density and community responses: A cross-sectional study [version 1; peer review: 1 approved, 1 not approved] . F1000Research 2025, 14 :661 ( https://doi.org/10.5256/f1000research.187323.r416581) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/14-661/v2#referee-response-416581 keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2025 Bharathi D. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 22 Aug 2025 | for Version 1 Dr Divya Bharathi , Kempegowda Institute of Medical Sciences, banglore, India 0 Views copyright © 2025 Bharathi D. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (1) Approved info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions Title - informative and specific, can include the place of the study. Introduction- Para 2, Line - 2 the arthropods to these arthropods, should be corrected. Avoid redundancy (e.g., restating that mosquitoes transmit diseases multiple times). Review of literature- relevant studies are incorporated. Methodology- Mention if multiple data collectors used and operational definitions for "moderate to severe mosquito nuisance" Discussion- Does not discuss possible confounders Conclusion- Well-summarized. Recognizes the knowledge–practice gap. Overall the study is Context-specific, regionally relevant.Combines environmental, behavioral, and health outcome data. Is the work clearly and accurately presented and does it cite the current literature? Yes Is the study design appropriate and is the work technically sound? Yes Are sufficient details of methods and analysis provided to allow replication by others? Yes If applicable, is the statistical analysis and its interpretation appropriate? Yes Are all the source data underlying the results available to ensure full reproducibility? Partly Are the conclusions drawn adequately supported by the results? Yes Competing Interests No competing interests were disclosed. Reviewer Expertise Communicable diseases, Rabies, Vector borne diseases, MCH I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. reply Respond to this report Responses (1) Author Response 15 Sep 2025 DR JITHIN SURENDRAN, Department of Community Medicine, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India Thank you very much for reviewing the revised manuscript and confirming your approval. I sincerely appreciate your careful reading, thoughtful feedback, and guidance, which have greatly contributed to improving the clarity, rigor, and overall quality of the article. . The manuscript has been further revised to address reviewer comments: in the Introduction, typographical errors (e.g., “the arthropods” → “to these arthropods”) have been corrected, and redundancy regarding mosquito-borne diseases has been removed. Relevant studies have been incorporated in the merged Review of Literature. The Discussion has been refined to acknowledge possible confounders, and the Conclusion highlights the knowledge–practice gap. Overall, the study remains context-specific and regionally relevant, integrating environmental, behavioral, and health outcome data to provide actionable insights. Your confirmation reassures us that the manuscript accurately reflects the study’s objectives and findings. Thanking you With regards Corresponding author View more View less Competing Interests No competing interests reply Respond Report a concern Bharathi DD. Peer Review Report For: Determinants of urban mosquito population density and community responses: A cross-sectional study [version 1; peer review: 1 approved, 1 not approved] . F1000Research 2025, 14 :661 ( https://doi.org/10.5256/f1000research.181258.r398023) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/14-661/v1#referee-response-398023 keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2025 Khan S. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 13 Aug 2025 | for Version 1 Siraj Khan , ICMR-Regional Medical Research Centre, Lahowal, India 0 Views copyright © 2025 Khan S. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (1) Not Approved info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions Summary The article entitled ‘ Determinants of urban mosquito population density and community responses: A cross-sectional study’ is well written and emphasizes the importance of community-based interventions and identifies gaps in local authority involvement, which can influence municipal policy. While the study is relevant and well-organized, it requires stronger justification of its novelty, broader statistical analysis, and clearer resolution of paradoxical findings regarding preventive practices. Addressing these would significantly improve the rigor and clarity of the manuscript. 1. Is the work clearly and accurately presented and does it cite the current literature? a. ‘An initial survey conducted in Mangalore taluk identified 26 mosquito species across six genera’- add reference here. b. Several references are cited without corresponding numbers in the bibliography (e.g., references 14–21). Ensure accurate and complete citation. 2.If applicable, is the statistical analysis and its interpretation appropriate? a. The sample size (n=95) is small for making generalizable statements, especially in a city with high heterogeneity in socioeconomic and environmental factors. b. The statistical data will be more reliable when it is presented confidence intervals in addition to p-values. c. The households using coils and repellents had higher disease prevalence is discussed but not thoroughly explained. Could reverse causation or confounding (e.g., higher-density mosquito areas using more coils) be responsible? d. No multivariate analysis e.g., logistic regression was performed, which could have clarified confounding between overlapping risk factors like vegetation, construction, and socioeconomic variables. 3. Are the conclusions drawn adequately supported by the results? a. While the problem is important, similar studies have been published in other endemic settings. Authors are advised to clearly express the novelty—what new insights does this paper provide that prior research (e.g., Wilke et al., 2020; Garbin et al., 2021) did not. b. The graphical representation of data is more understandable as demographic data is concerned. Other comments a . Scientific names like Aedes aegypti and Anopheles should be consistently italicized. 'b. Aedes aegypti and Aedes albopictus are mosquitoes that belong to the Culicines category,’ -what does ‘category’ means here? c. Review of literature section can be merged with Introduction section. Is the work clearly and accurately presented and does it cite the current literature? Partly Is the study design appropriate and is the work technically sound? Yes Are sufficient details of methods and analysis provided to allow replication by others? Yes If applicable, is the statistical analysis and its interpretation appropriate? Partly Are all the source data underlying the results available to ensure full reproducibility? Yes Are the conclusions drawn adequately supported by the results? Partly Competing Interests No competing interests were disclosed. Reviewer Expertise Medical Entomology, Vector borne Diseases, Rickettsial diseases, Public health research I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above. reply Respond to this report Responses (1) Author Response 15 Sep 2025 DR JITHIN SURENDRAN, Department of Community Medicine, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India We would like to express our gratitude to the reviewer for the insightful and constructive feedback on our manuscript. The comments have been invaluable in refining the manuscript, and we have addressed each suggestion thoroughly in the responses below. 1 a. " An initial survey conducted in Mangalore taluk identified 26 mosquito species across six genera "- The reference has been added as suggested. 1.b. Several references are cited without corresponding numbers in the bibliography- All references have been thoroughly verified to ensure that the citations are accurate and complete. 2 a. The sample size (n=95) is small for making generalizable statements, especially in a city with high heterogeneity in socioeconomic and environmental factors- We ensured representative coverage across wards by dividing the households equally among the selected 5 wards (19 households per ward) out of 60 wards. The sampling strategy has been mentioned in methodology. Hope, this systematic approach maximize representativeness and reduce selection bias within the constraints of the study. 2.b. The statistical data will be more reliable when it is presented confidence intervals in addition to p-values- The table 7 & 8 have been revised to present odds ratios with 95% confidence intervals alongside the previously reported p-values. 2.c The households using coils and repellents had higher disease prevalence is discussed but not thoroughly explained. Could reverse causation or confounding (e.g., higher-density mosquito areas using more coils) be responsible?- The justification has been provided in the last paragraph of discussion section. 2.d. No multivariate analysis e.g., logistic regression was performed, which could have clarified confounding between overlapping risk factors like vegetation, construction, and socioeconomic variables- The table 7 & 8 have been revised incorporating logistic regression analysis. 3.a. While the problem is important, similar studies have been published in other endemic settings. Authors are advised to clearly express the novelty—what new insights does this paper provide that prior research (e.g., Wilke et al., 2020; Garbin et al., 2021) did not- The study adopts novel objectives, focusing on an integrated approach that identifies key determinants of mosquito presence while simultaneously evaluating community measures, perceptions, and self-reported disease burden, providing context-specific insights from Mangalore that extend beyond previous studies in other settings. This has been incorporated into the conclusion. 3.b. The graphical representation of data is more understandable as demographic data is concerned- We appreciate the suggestion regarding graphical representation. However, we have retained the tabular format for demographic data, as it allow us for clear presentation of detailed counts and percentages across multiple categories, which may be less effectively conveyed in graphs. a . Scientific names like Aedes aegypti and Anopheles should be consistently italicized- This has been incorporated across the article. b. Aedes aegypti and Aedes albopictus are mosquitoes that belong to the Culicines category,’ -what does ‘category’ means here?- This has been revised in introduction section Para 3, line 1. c. Review of literature section can be merged with Introduction section- The Review of Literature section has been merged with the Introduction We sincerely thank the reviewer for their valuable time, insightful comments, and constructive suggestions, which have greatly helped us improve the clarity, rigor, and overall quality of our manuscript. We hope that the revisions adequately address all concerns, and we look forward to the reviewer’s further feedback. View more View less Competing Interests No competing interests were disclosed. reply Respond Report a concern Khan S. Peer Review Report For: Determinants of urban mosquito population density and community responses: A cross-sectional study [version 1; peer review: 1 approved, 1 not approved] . F1000Research 2025, 14 :661 ( https://doi.org/10.5256/f1000research.181258.r400061) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/14-661/v1#referee-response-400061 Alongside their report, reviewers assign a status to the article: Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. 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