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Nigeria has the highest global burden of Malaria and Malaria remains endemic in Nigeria. The effect of Malaria in pregnant women remains far reaching. With specific preventive measures, the effects of Malaria in pregnancy can be greatly reduced. One of such preventive measures is the use of Long Lasting Insecticide Treated nets (LLITNs) in pregnancy. These are nets that have been treated with insecticide and can repel mosquitoes – the vectors of Malaria. When appropriately used, the nets have been shown to reduce the burden of Malaria in pregnant women. AIM The aim of this study was to determine the knowledge of Malaria in pregnancy and the utilization of LLITNs among pregnant women attending Ante Natal Care services in a secondary health care centre in South- South Nigeria. MATERIALS AND METHODS: A descriptive cross sectional study of all consenting pregnant women attending Ante Natal Care services in a secondary health care facility was carried out from 1st August 2024 to 31st October 2024. A semi-structured questionnaire was administered to 154 women and there was 100% response rate. Knowledge less than 60% was considered poor and utilization of LLITNs less than 60% was equally considered poor. Collected Data was analyzed using SPSS IBM version 27 and a P value < 0.05 was considered statistically significant. RESULTS More than half of the respondent, 80(51.9%) did not know that Malaria in pregnancy was harmful to the pregnant woman and 96(62.3%) were unaware that Malaria was harmful to the fetus. 92(59.7%) agreed that Malaria can be prevented and 64(41.5%) admitted that LLITNs can be used to prevent Malaria in pregnancy. 68(44.1%) had good knowledge while 86(55.8%) had poor knowledge. Overall, knowledge was adjudged to be poor .Only 80 (51.9%) of the respondents currently owned the LLITNs and 67(43.5%) of the respondents slept under the LLITNs in this index pregnancy. Overall, utilization of the LLITNs was adjudged to be poor. CONCLUSION The results from this study revealed that the knowledge that LLITNs can be a tool in prevention of Malaria in pregnancy and it’s actually utilization was unsatisfactory. Real utilization of the LLITNs among these Ante Natal attendees is still low, Malaria Prevention Pregnancy Insecticide treated nets utilization Figures Figure 1 Figure 2 Figure 3 INTRODUCTION Malaria is a protozoan infection that is caused by various species of Plasmodium parasites. This parasite is transmitted to humans by the bite of the female Anopheles mosquito and the disease has remained a huge burden in Sub-Saharan Africa. According to the World Health Organization (WHO) in 2021, nearly half of the world’s population is at risk for Malaria and there was an estimated 247 million cases of Malaria worldwide and the estimated number of Malaria deaths stood at 619,000 in 2021 1 . The effects of Malaria continue to be huge health and economic burden in sub-saharan Africa and Nigeria still bears a disproportionate percentage of this disease. The WHO African Region carries a high share of the global Malaria burden and in 2021, this region was home to 95% of Malaria cases and 96% of Malaria deaths. Four African countries accounted for just over half of all Malaria deaths; Nigeria at 31.3% stands at the highest 1 . Nigeria suffers the world’s greatest burden of Malaria with approximately 51 million cases and 207,000 deaths reported annually (approximately 30% of total Malaria burden in Africa) while 97% of the total population (approximately 173 million) is at risk of the infection 2 . There is no gain saying that in Nigeria, Malaria is endemic and that this cuts across all ages and gender. This also means that pregnant women and their unborn babies are susceptible to Malaria and its associated complications. Malaria in pregnancy causes increased morbidity and mortality for the pregnant woman, the fetus and the neonate. This is as a result of the altered immune status in pregnant women; making her and the baby more susceptible to Malaria complications. Maternal Malaria complications in pregnancy include severe Malaria, coma, anaemia and possible multi-organ failure and mortality. In the fetus, Malaria can result in spontaneous miscarriage, intra uterine growth restriction (IUGR), preterm labour (with resulting prematurity), low birth weight or congenital malaria. Congenital Malaria is defined as identification of asexual P. Falciparium parasites in the cord or peripheral blood of the newborn during the first seven days of life. 3 . In Malaria endemic areas, each year75,000 to 200,000 infant deaths are associated with Malaria infection in pregnancy 4 . Malaria is among the most common and easily preventable cause of poor birth outcomes in the world. Intermittent Preventive Treatment in pregnancy (IPTp) and Long Lasting Insecticide Treated Nets (LLITNs) distribution program have helped decrease Malaria risk among pregnant women in many parts of the world 5 . In recognition of the adverse effects of Malaria in pregnancy, among modalities recommended by the WHO to reduce this is the use of Long Lasting Insecticide Treated mosquito nets (LLITNs). These are nets treated with insecticide that repel (or sterilize) mosquitoes that come intact with it. LLITNs are intended to last three years even after repeated washing and they are recommended for people living in areas of endemic Malaria. According to the WHO, LLITNs have played an important role in remarkable success in reducing Malaria burden over the past decade. They are core prevention tools and widely used by people at risk of Malaria 6 . In a survey by Bhatt et al, long lasting insecticide nets are one of the most important tools to combat Malaria, having been estimated to be responsible for 68% of decrease in the clinical incidence of Malaria between 2000 to 2015 7 . While the prevention of Malaria is very strategic in the overall reduction of the morbidity and mortality associated with Malaria in pregnancy, this may not be the case amongst pregnant women who may have inadequate knowledge and utilization. In a survey among pregnant women, Kalu et al concluded that pregnant women seemed aware of the basic concepts related to Malaria but that does not translate into adequate attitude and practice 8 . Also, in another survey among pregnant women by Okafor et al, they concluded that respondents’ knowledge, perception and preventive practices for Malaria in pregnancy were not satisfactory 9 . . The benefits of use of LLITNs among pregnant women is obvious, however its uptake will be influenced by the knowledge and about it. In a study by Ezire et al, they concluded that increasing the nets owned per household might not be a critical decider on whether the net will be used or not. They recommended massive education on the use of ITN. Skills building on use and increasing knowledge on the benefits of using nets may contribute to improving ITN use among pregnant women in Nigeria 10 . Invariably, this study highlights the need for Malaria education in order to improve knowledge and enhance use of LLITNs amongst pregnant women. Another study also maintained gap between ownership and use of LLITNs. This study concluded that household ownership of ITNs and their use by pregnant women is promising with the current efforts to scale up ITNs implementation, but the gap between ownership and use remains high. Consistent and proper use of nets by pregnant women should be ensured through information campaigns. Rapid expansion of access to LLITNs requires that government and NGOs supply them in adequate numbers 11 . Similar conclusion was made by Macintyre et al who concluded that the gap between ITN ownership uses, given ownership, is large and may represent lost opportunities to prevent infection. Closing this gap requires that all households members use ITNs as consistently and currently as possible 12 . While ownership may not be associated with effective use, efforts are needed to further the awareness of its benefits. Again in another study in South Eastern Nigeria, it was discovered that the use of ITN was poor among pregnant women in Enugu state, but associated with favourable maternal and feto-neonatal outcome. The study concluded that future measures to increase its use should consider improvement in educational level and social class of our women 13 . This is a further confirmation of favourable pregnancy outcomes among those pregnant women using ITN but again low uptake. Another study in Northern Nigeria revealed a high level of awareness of Insecticide treated nets among the study population but very low utilization largely due to the non-availability. The study concluded by recommending proper education on the benefits of ITN to further increase its utilization 14 . This shows that awareness does not literarily translate to utilization among pregnant women. This finding was corroborated by Anikwe et al, in their survey, the level of awareness of LLITNs was high, however its utilization was discouragingly low. They concluded that rural dwellers and those without appropriate knowledge of Malaria were less likely to use the LLITNs in pregnancy 15 . It is our aim to access the knowledge of Malaria and the use of LLITNs among urban pregnant women and make recommendations in this regard. MATERIALS AND METHODS STUDY AREA The study area was Okwe General Hospital, Abraka in Delta state. This is a secondary health care facility located in an urban area about thirty minutes’ drive from Asaba, the Delta state capital. Delta state is located in the South-South Geopolitical zone of Nigeria. STUDY POPULATION All women that attended Ante Natal Care in the General Hospital during the study period and gave informed consent to participate. STUDY DESIGN This was a descriptive cross sectional study among consenting pregnant women attending ANC using a self- administered structured questionnaire. The questionnaire was pre-tested among pregnant women attending Ante Natal Care in Ibusa General Hospital, in Delta state, to ensure standardization. SAMPLE SIZE DETERMINATION The minimum sample size for this study was calculated using the following formula: Sample size Determination DATA COLLECTION AND ANALYSIS A proforma was used to collect information from the respondents. Data consisted of the following sections: Socio-demographic characteristics, Obstetric characteristics, knowledge of Malaria in pregnancy and utilization of LLITNs. Collected Data was analyzed using the software Statistical Product and Service Solutions (SPSS) version 27 (IBM Corp, Armonk, NY USA). Categorical variables were presented in frequency and percentages while continuous variables were presented as mean and standard deviation. Chi Square was used to determine the test of association between categorical values while the student t test was used to test of association between continuous variables. A P value of < 0.05 was considered as statistically significant. Knowledge of total respondents less than 60% was considered poor and utilization of the LLITNs less than 60% was adjudged to be poor. ETHICAL CONSIDERATIONS Ethical clearance was sought and obtained from the Research and ethics committee of Okwe General Hospital and individual consent was obtained from the participants before questionnaire administration. RESULTS A total of 154 participants gave consent to participants in this study and 154 (100%) returned correctly filled questionnaire. Most of the participants were aged between 20 to 34years (75.3%) and 140 (90.9%) participants were married. 99 participants (64.2%) attained secondary education while 48(31>1%) had tertiary education. Most respondents were Christians 147(95.4%). The ethnicity of respondents showed that 126 (81.6%) of the respondents were Igbo. A larger number of the participants, 107 (69.4%) of respondents were self-employed and 106 (68.8%) of the spouse of respondents were equally self-employed. The obstetric characteristics of respondents revealed that most respondents were multiparous. There was no statistically significant relationship between the age of respondents, the marital status of respondents, the ethnicity of respondents, the religion of respondents and their knowledge about Malaria in pregnancy. However, there was a statistical significant relationship between the level of education of respondents, obstetric history and their knowledge of Malaria in pregnancy at < 0.001 and < 0.001 respectively. Regarding the knowledge of Malaria in pregnancy, 80(51.9%) –more than half of the respondents did not know that Malaria in pregnancy was harmful to the mother and 96(62.3%) of respondents were unaware that Malaria in pregnancy was harmful to the unborn baby. 92(59.7%) admitted that Malaria in pregnancy can be prevented – those who admitted that drugs can be used to prevent Malaria in pregnancy were 91(59%) while those who admitted that insecticide treated nets can be used for Malaria prevention in pregnancy were 64(41.5%). 149(92.8%) of respondents were aware of insecticide treated nets and 121(78.5%) of these knew that the nets can be washed and re-used. Overall the participants with poor knowledge were 86 (55.8%) as against 68 (44.1%) who had good knowledge. As regards the utilization of the insecticide treated nets, 80 (51.9%) possessed the Insecticide treated nets, while 67(43.5%) slept under the insecticide treated nets in the index pregnancy. 92(59.7%) acknowledged that insecticide treated nets will help prevent Malaria in pregnancy. Most of the respondents 120 (77.9%) received information concerning insecticide treated nets in the Ante Natal Clinic. Also, concerning the utilization of Insecticide treated nets, there was no statistically significant relationship between the age of the respondents, marital status, occupation, ethnicity or religion of the respondents. However, there was a statistically significant relationship between the level of education and the obstetrics characteristics of the respondents. TABLE 1 : SOCIO-DEMOGRAPHICS CHARACTERISTICS OF RESPONDENTS VARIABLE FREQUENCY N=154 PERCENTAGE AGE 35 13 116 25 8.4% 75.3% 16.2% MARITAL STATUS Single Married Separated Divorced 12 140 1 1 7.7% 90.9% 0.64% 0.64% LEVEL OF EDUCATION Primary Secondary Tertiary 7 99 48 4.5% 64.2% 31.1% ETHNICITY Igbo Isoko Ijaw Yoruba Hausa Ukwuani Others 126 7 2 4 2 1 12 81.8% 4.5% 1.2% 2.5% 1.2% 0.64% 7.7% RELIGION Christianity Islam Traditionalist 147 5 2 95.4% 3.2% 1.2% OCCUPATION Self employed Civil servant Unemployed Private employment Others 107 13 15 16 3 69.4% 8.4% 9.7% 10.3% 1.9% HUSBAND’S OCCUPATION Self employed Civil Servant Unemployed Private employment Company employment Others 106 8 2 8 23 6 68.8% 5.1% 1.2% 5.1% 14.9% 3.8% OBSTETRIC HISTORY 1 st pregnancy 2 nd -4 th Pregnancy >5 pregnancies 59 78 17 38.3% 50.6% 11.0% TABLE II: KNOWLEDGE OF MALARIA IN PREGNANCY Question Options Frequency Percent Is Malaria harmful to pregnant women Yes No I don’t know 50 80 24 32.4% 51.9% 15.5% Is Malaria harmful to unborn baby Yes No I don’t know 47 96 11 30.5% 62.3% 7.1% Can Malaria in pregnancy be prevented Yes No I don’t know 92 55 8 59.7% 35.7% 5.1% Are you aware of insecticide treated net Yes No I don’t know 143 10 1 92.8% 6.4% 0.64% How can malaria in pregnancy be prevented? Clean food Clean water Use of malaria drugs Use of insecticide treated nets Use of insecticides Use of protective clothing Use of insect repellent Others 15 8 91 64 9 2 3 5 9.7% 5.1% 59.0% 41.5% 5.8% 1.2% 1.9% 3.2% Can the net be washed? Yes No I don’t know 121 7 26 78.5% 4.5% 16.8% TABLE III: RESPONDENT’S KNOWLEDGE Variable Frequency Percentage Respondent’s knowledge Poor knowledge 86 55.8% Good knowledge 68 44.1% TABLE IV: UTILIZATION OF INSECTICIDE TREATED NETS Question Options Frequency Percent Do you sleep under net throughout this pregnancy? Yes No I don’t know 67 82 5 43.5% 53.2% 3.2% Do you have the net currently? Yes No I don’t know 80 66 7 51.9% 42.8% 4.5% Can malaria in pregnancy be prevented with ITNs Yes No I don’t know 92 54 8 59.7% 35.0% 5.1% Source of information Antenatal clinic Neighbour Friend/relative Radio/tv Church 120 11 15 5 3 77.9% 7.1% 9.7% 3.2% 1.9% TABLE V: ASSOCIATION BETWEEN SOCIO-DEMOGRAPHICS AND KNOWLEDGE Variable Good knowledge Bad knowledge X 2 P-Value AGE 35 5 53 10 8 63 15 0.456 0.79 MARITAL STATUS Single Married Separated Divorced 6 60 1 1 6 80 0.306 0.95 LEVEL OF EDUCATION Primary Secondary Tertiary 2 26 40 5 73 8 43.421 <0.00001 ETHNICITY Igbo Isoko Ijaw Yoruba Hausa Others 59 2 1 2 1 2 67 5 1 2 1 11 4.475 0.322 RELIGION Christianity Islam Traditionalist 66 1 1 81 4 1 1.243 0.536 OCCUPATION Self employed Civil servant Unemployed Private employment Others 51 8 3 5 1 56 5 12 11 2 6.899 0.141 TABLE VI: ASSOCIATION BETWEEN SOCIO-DEMOGRAPHICS AND UTILIZATION OF INSECTICIDE TREATED NETS Variable NO YES X 2 P-Value AGE 35 4 64 14 9 52 11 2.887 0.236 MARITAL STATUS Single Married Separated Divorced 5 76 1 1 7 64 0.306 0.95 LEVEL OF EDUCATION Primary Secondary Tertiary 5 18 59 2 30 40 7.313 0.025 ETHNICITY Igbo Isoko Ijaw Yoruba Others 64 5 1 2 10 62 2 1 1 5 2.647 0.618 RELIGION Christianity Islam Traditionalist 80 1 1 67 4 1 2.310 0.315 OCCUPATION Self employed Civil servant Unemployed Private employment Others 60 8 7 5 2 47 5 8 11 1 4.290 0.368 DISCUSSION This study aimed to determine the knowledge and utilization of long lasting insecticide treated nets (LLITNs) among pregnant women attending Ante Natal Care services in a secondary health care centre in Delta state, south south, Nigeria. According to the WHO, LLITNs are core preventive tools widely used by pregnant women at risk of Malaria 6 . The results from this study showed that knowledge of Malaria in pregnancy overall was poor-55.8% of the participants as against 44.1% of the respondents with good knowledge. Knowledge of Malaria amongst pregnant women and non-pregnant women have revealed not satisfactory knowledge in a community based study among Nigeria women 17 and also poor knowledge was noted among pregnant women in a rural population of pregnant women in Southwestern Nigeria 18 , low overall knowledge of Malaria among a large proportion of women in Burkina Faso 19 , insufficient knowledge of Malaria among pregnant women was also noted in Democratic Republic of Congo 20 and the level of Malaria knowledge was reported to be unsatisfactory among adult women in Malawi 21 . Whereas a different finding of good knowledge was noted in several studies. In a study among pregnant women in Nigeria, the women seemed to be aware of the basic concepts related to Malaria 22 , and in a rural setting in Ghana the study findings clearly demonstrated that the majority of mothers were knowledgeable about the causes, signs and symptoms and preventive measures of Malaria 23 , and in another study in the Eastern region of Ghana, the overall scores of respondent knowledge about Malaria was good 24 .Study from North-western Ethiopia by Goshi et al reported that the majority of participants had good knowledge on Malaria 25 . In this study, there was a positive association between the socio- demographic characteristics and knowledge as more participants with tertiary education had good knowledge about Malaria in pregnancy. This was also the finding of Oadimeji et al whose findings indicated that socio-demographic factors such as marital status and educational status greatly influenced knowledge on Malaria prevention and control measures 26 . The overall poor knowledge of Malaria in pregnancy among the respondents in this study may not be unconnected to the lesser number of participants with tertiary level of education.. Knowledge of Malaria in pregnancy will also impact the utilization of preventive measures against Malaria in pregnancy. One of such preventive measures is the long lasting insecticide treated nets. Results from this study revealed that though most of the participants had the LLITNs, (51.9%), less than half of the participants (43.5%) utilized the LLITNs notwithstanding that more than half of the participants were aware that LLITNs can be used to prevent Malaria in pregnancy. Findings from various studies were variable. In a study in Enugu, South Eastern Nigeria, Ugwu et al reported that the use of ITNs among study participants was poor among pregnant women 13 . Another study to assess ownership and utilization of ITN among pregnant women in Nigeria revealed that the utilization of ITN lagged well behind its ownership 27 . Similar findings that pregnant women rarely utilized the ITNs in a study in East Africa 28 and a systemic review from East African concluded that a significant proportion of pregnant women did not utilize the ITNs 29 . While in Myanmar, a relatively poor ITNs utilization was observed among pregnant women 30 . In contrast to these findings, another study among childbearing women in Northern Nigeria, the majority of the women (71.8%) utilized insecticide-treated nets 31 and another study among pregnant women attendees in a District hospital in Cameroon, the use of LLITN was moderately high among participants, though this still fell below their national target 32 . CONCLUSIONS AND RECOMMENDATIONS The conclusions from this study is that the participants had poor knowledge of Malaria and low utilization of the LLITNs. Therefore, it is recommended for more efforts among care givers especially during Ante natal clinic visits, public health officials and government at all levels to scale up efforts to maximize the utilization of LLITNs especially given the invaluable benefit this will portend in prevention of Malaria among pregnant women. LIMITATIONS This is a questionnaire based research and as such, there is the likelihood of recollection bias from participants and inaccurate responses. Declarations CONFLICTS OF INTERESTS The authors declare no conflict of interest in this Research and all financial obligations of this survey were undertaken by the lead investigator. Ethics approval and consent to participate: Ethical approval was obtained from the Research and Ethics Committee of the General Hospital, Okwe, Asaba, Delta State Nigeria with reference number DSHMBOK/GH/B93VOL.XVI/205 before the commencement of the study in conformity with the Helsinki declaration with emphasis on the core ethical principles of autonomy, beneficience, non-maleficence and justice. Consent for publication: This was obtained from all study participants and written consent was obtained from participants. Competing interests: The authors declare no competing interests. Dual publication: No, the results/data/figures in this manuscript have not been published elsewhere, nor are they under consideration (from you or one of your Contributing Authors) by another publish Data Availability: Data and materials are available. The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request. 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Adum P, Agyare VA, Owusu-Marfo J, Agyeman YN, knowledge, attitude and Practices of Malaria prevention measures among mothers with children under five years in a rural setting in Ghana. Malaria Journal 2023; 22:268 Lopez AR, Brown CA Knowledge, attitude and practices regarding Malaria prevention and control in communities in Eastern region, Ghana. PLoS ONE 2023; 18(8): e0290822 Goshi YA, Yitayew AE Malaria knowledge and its associated factors among pregnant women attending antenatal clinic of Adis Zemen Hospital, North-western Ethiopia. PLoS ONE 2019; 14(1): e0210221 Oladimeji KE, Tsoka-Gwegweni JM, Ojewole E, Yunga ST Knowledge of Malaria prevention among pregnant women and non-pregnant mothers of children aged 5 years in Ibadan, South West, Nigeria. Malar J 2019; 18(1): 92 Ankomah A, Adebayo SB, Arogundade ED, Ayanti J, Nwokolo E, Ladipo O, Meremikwu MM Determinants of insecticide treated nets ownership and utilization among pregnant women in Nigeria. 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Malar J 2023; 22: 184 Ajonina MU, Ajonina-Ekoti IU, Ngulefac J,Ade N, Awambeng DN, Nfor CK et al Long-lasting insecticide nets use and the prevalence of plasmodium falciparium infection among pregnant women attending antenatal care at the Bonassama District Hospital, Littoral Region of Cameroon: a cross-sectional study. BMC Pregnancy and childbirth 2024;24:560 Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 12 Mar, 2026 Reviews received at journal 11 Mar, 2026 Reviews received at journal 10 Mar, 2026 Reviewers agreed at journal 05 Mar, 2026 Reviewers agreed at journal 05 Mar, 2026 Reviewers agreed at journal 03 Mar, 2026 Reviewers invited by journal 03 Mar, 2026 Editor assigned by journal 28 Feb, 2026 Editor invited by journal 23 Feb, 2026 Submission checks completed at journal 21 Feb, 2026 First submitted to journal 21 Feb, 2026 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8612421","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":601519863,"identity":"2b459bfc-4814-4588-9005-cb766bb22d34","order_by":0,"name":"Robinson Onyekachukwu Ogwu","email":"","orcid":"","institution":"Federal Medical Centre","correspondingAuthor":false,"prefix":"","firstName":"Robinson","middleName":"Onyekachukwu","lastName":"Ogwu","suffix":""},{"id":601519864,"identity":"1d98d4a5-ec04-4b8c-be5f-301493c6ae29","order_by":1,"name":"Angela Uduak Ochei","email":"","orcid":"","institution":"Federal Medical 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Eke-Otuka","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABEUlEQVRIiWNgGAWjYDACHjCZACaZwQz2BiDTwAK/lgMoWngOgLRIkKJFAszBrYWf5/DBxx/b0uQNzh8++LmwLS1xw83nVzf8KJBg4G/vTsCmRbK3LdngYFuO4YYDx5KlZ7blJG64nVN2swfoMIkzZzdg02JwnsdM4mBbBeOGgz1mzLxtFblALWk3eIBaDCRysWqxP8//DaTFfsNhHqiWm2fSbv7Bo8WAt4cNqAXonmNgLTm5G26wH7uNzxaJM8eMDc6cS0ueeYYtWZrnXFr9zDM5bLdlDCR4cPmFvyf54YOKsmTbPlCI8ZQlG/MdP/7s5ps/NnL87b1YtWADPAZgkljlIMD+gBTVo2AUjIJRMPwBAMUNabDHLq9LAAAAAElFTkSuQmCC","orcid":"","institution":"Federal Medical Centre","correspondingAuthor":true,"prefix":"","firstName":"Uzochukwu","middleName":"Nkemakolam","lastName":"Eke-Otuka","suffix":""},{"id":601519867,"identity":"91766e50-da96-40d8-97be-0929828d7a12","order_by":4,"name":"Christian Osemudiamen Igibah","email":"","orcid":"","institution":"Federal Medical Centre","correspondingAuthor":false,"prefix":"","firstName":"Christian","middleName":"Osemudiamen","lastName":"Igibah","suffix":""},{"id":601519869,"identity":"ac0158d4-6ad3-4fd8-bda9-064c06e88293","order_by":5,"name":"Kachi-Ogwu UN","email":"","orcid":"","institution":"Enugu State University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Kachi-Ogwu","middleName":"","lastName":"UN","suffix":""},{"id":601519871,"identity":"d096dffc-12ff-4135-a1af-7e72fb02cbba","order_by":6,"name":"Osamudia Okhionkpamwonyi","email":"","orcid":"","institution":"Delta State University Teaching Hospital","correspondingAuthor":false,"prefix":"","firstName":"Osamudia","middleName":"","lastName":"Okhionkpamwonyi","suffix":""}],"badges":[],"createdAt":"2026-01-15 16:38:13","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-8612421/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8612421/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":104114797,"identity":"21aea3a3-c97d-4202-8c08-31cd57843792","added_by":"auto","created_at":"2026-03-07 04:11:30","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":25169,"visible":true,"origin":"","legend":"\u003cp\u003eSee image above for figure legend.\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-8612421/v1/772c7d6ff1bdf924911720dc.png"},{"id":104114796,"identity":"a6aa2a20-6331-448c-8fed-b73cc01959bb","added_by":"auto","created_at":"2026-03-07 04:11:30","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":27005,"visible":true,"origin":"","legend":"\u003cp\u003eSee image above for figure legend.\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-8612421/v1/cbb4ea897e941b2a27d32f8c.png"},{"id":104403568,"identity":"2c6e48a1-d76c-432a-b061-76fdc69fcaeb","added_by":"auto","created_at":"2026-03-11 12:18:35","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":26017,"visible":true,"origin":"","legend":"\u003cp\u003eSee image above for figure legend.\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-8612421/v1/3292daf5f2326a205b518c40.png"},{"id":104408784,"identity":"07c79b52-63eb-4b4c-9f7c-796207fff715","added_by":"auto","created_at":"2026-03-11 12:43:23","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":908467,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8612421/v1/bb6e427b-51be-468a-a93c-d8113bb341ca.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"\u003cp\u003eAssessment of the Knowledge and Utilization of Insecticide Treated Nets Among Pregnant Women in a Secondary Health Care Facility in South-south, Nigeria\u003c/p\u003e","fulltext":[{"header":"INTRODUCTION","content":"\u003cp\u003eMalaria is a protozoan infection that is caused by various species of Plasmodium parasites. This parasite is transmitted to humans by the bite of the female Anopheles mosquito and the disease has remained a huge burden in Sub-Saharan Africa. According to the World Health Organization (WHO) in 2021, nearly half of the world\u0026rsquo;s population is at risk for Malaria and there was an estimated 247\u0026nbsp;million cases of Malaria worldwide and the estimated number of Malaria deaths stood at 619,000 in 2021\u003csup\u003e1\u003c/sup\u003e. The effects of Malaria continue to be huge health and economic burden in sub-saharan Africa and Nigeria still bears a disproportionate percentage of this disease. The WHO African Region carries a high share of the global Malaria burden and in 2021, this region was home to 95% of Malaria cases and 96% of Malaria deaths. Four African countries accounted for just over half of all Malaria deaths; Nigeria at 31.3% stands at the highest \u003csup\u003e\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eNigeria suffers the world\u0026rsquo;s greatest burden of Malaria with approximately 51\u0026nbsp;million cases and 207,000 deaths reported annually (approximately 30% of total Malaria burden in Africa) while 97% of the total population (approximately 173\u0026nbsp;million) is at risk of the infection\u003csup\u003e\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e\u003c/sup\u003e. There is no gain saying that in Nigeria, Malaria is endemic and that this cuts across all ages and gender. This also means that pregnant women and their unborn babies are susceptible to Malaria and its associated complications.\u003c/p\u003e \u003cp\u003eMalaria in pregnancy causes increased morbidity and mortality for the pregnant woman, the fetus and the neonate. This is as a result of the altered immune status in pregnant women; making her and the baby more susceptible to Malaria complications. Maternal Malaria complications in pregnancy include severe Malaria, coma, anaemia and possible multi-organ failure and mortality. In the fetus, Malaria can result in spontaneous miscarriage, intra uterine growth restriction (IUGR), preterm labour (with resulting prematurity), low birth weight or congenital malaria. Congenital Malaria is defined as identification of asexual P. Falciparium parasites in the cord or peripheral blood of the newborn during the first seven days of life.\u003csup\u003e\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e\u003c/sup\u003e. In Malaria endemic areas, each year75,000 to 200,000 infant deaths are associated with Malaria infection in pregnancy \u003csup\u003e\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e\u003c/sup\u003e. Malaria is among the most common and easily preventable cause of poor birth outcomes in the world. Intermittent Preventive Treatment in pregnancy (IPTp) and Long Lasting Insecticide Treated Nets (LLITNs) distribution program have helped decrease Malaria risk among pregnant women in many parts of the world \u003csup\u003e\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eIn recognition of the adverse effects of Malaria in pregnancy, among modalities recommended by the WHO to reduce this is the use of Long Lasting Insecticide Treated mosquito nets (LLITNs). These are nets treated with insecticide that repel (or sterilize) mosquitoes that come intact with it. LLITNs are intended to last three years even after repeated washing and they are recommended for people living in areas of endemic Malaria. According to the WHO, LLITNs have played an important role in remarkable success in reducing Malaria burden over the past decade. They are core prevention tools and widely used by people at risk of Malaria \u003csup\u003e\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e\u003c/sup\u003e. In a survey by Bhatt et al, long lasting insecticide nets are one of the most important tools to combat Malaria, having been estimated to be responsible for 68% of decrease in the clinical incidence of Malaria between 2000 to 2015 \u003csup\u003e7\u003c/sup\u003e. While the prevention of Malaria is very strategic in the overall reduction of the morbidity and mortality associated with Malaria in pregnancy, this may not be the case amongst pregnant women who may have inadequate knowledge and utilization. In a survey among pregnant women, Kalu et al concluded that pregnant women seemed aware of the basic concepts related to Malaria but that does not translate into adequate attitude and practice \u003csup\u003e\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e\u003c/sup\u003e. Also, in another survey among pregnant women by Okafor et al, they concluded that respondents\u0026rsquo; knowledge, perception and preventive practices for Malaria in pregnancy were not satisfactory \u003csup\u003e\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e\u003c/sup\u003e. .\u003c/p\u003e \u003cp\u003eThe benefits of use of LLITNs among pregnant women is obvious, however its uptake will be influenced by the knowledge and about it. In a study by Ezire et al, they concluded that increasing the nets owned per household might not be a critical decider on whether the net will be used or not. They recommended massive education on the use of ITN. Skills building on use and increasing knowledge on the benefits of using nets may contribute to improving ITN use among pregnant women in Nigeria \u003csup\u003e\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e\u003c/sup\u003e. Invariably, this study highlights the need for Malaria education in order to improve knowledge and enhance use of LLITNs amongst pregnant women. Another study also maintained gap between ownership and use of LLITNs. This study concluded that household ownership of ITNs and their use by pregnant women is promising with the current efforts to scale up ITNs implementation, but the gap between ownership and use remains high. Consistent and proper use of nets by pregnant women should be ensured through information campaigns. Rapid expansion of access to LLITNs requires that government and NGOs supply them in adequate numbers \u003csup\u003e\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e\u003c/sup\u003e. Similar conclusion was made by Macintyre et al who concluded that the gap between ITN ownership uses, given ownership, is large and may represent lost opportunities to prevent infection. Closing this gap requires that all households members use ITNs as consistently and currently as possible \u003csup\u003e\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e\u003c/sup\u003e. While ownership may not be associated with effective use, efforts are needed to further the awareness of its benefits. Again in another study in South Eastern Nigeria, it was discovered that the use of ITN was poor among pregnant women in Enugu state, but associated with favourable maternal and feto-neonatal outcome. The study concluded that future measures to increase its use should consider improvement in educational level and social class of our women \u003csup\u003e\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e\u003c/sup\u003e. This is a further confirmation of favourable pregnancy outcomes among those pregnant women using ITN but again low uptake.\u003c/p\u003e \u003cp\u003eAnother study in Northern Nigeria revealed a high level of awareness of Insecticide treated nets among the study population but very low utilization largely due to the non-availability. The study concluded by recommending proper education on the benefits of ITN to further increase its utilization \u003csup\u003e\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e\u003c/sup\u003e. This shows that awareness does not literarily translate to utilization among pregnant women. This finding was corroborated by Anikwe et al, in their survey, the level of awareness of LLITNs was high, however its utilization was discouragingly low. They concluded that rural dwellers and those without appropriate knowledge of Malaria were less likely to use the LLITNs in pregnancy\u003csup\u003e\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e\u003c/sup\u003e. It is our aim to access the knowledge of Malaria and the use of LLITNs among urban pregnant women and make recommendations in this regard.\u003c/p\u003e"},{"header":"MATERIALS AND METHODS","content":"\u003cp\u003e\u003cstrong\u003eSTUDY AREA\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe study area was Okwe General Hospital, Abraka in Delta state. This is a secondary health care facility located in an urban area about thirty minutes\u0026rsquo; drive from Asaba, the Delta state capital. Delta state is located in the South-South Geopolitical zone of Nigeria.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSTUDY POPULATION\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll women that attended Ante Natal Care in the General Hospital during the study period and gave informed consent to participate.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSTUDY DESIGN\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis was a descriptive cross sectional study among consenting pregnant women attending ANC using a self- administered structured questionnaire. The questionnaire was pre-tested among pregnant women attending Ante Natal Care in Ibusa General Hospital, in Delta state, to ensure standardization.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSAMPLE SIZE DETERMINATION\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe minimum sample size for this study was calculated using the following formula:\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eSample size Determination\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDATA COLLECTION AND ANALYSIS\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eA proforma was used to collect information from the respondents. Data consisted of the following sections: Socio-demographic characteristics, Obstetric characteristics, knowledge of Malaria in pregnancy and utilization of LLITNs. Collected Data was analyzed using the software Statistical Product and Service Solutions (SPSS) version 27 (IBM Corp, Armonk, NY USA). Categorical variables were presented in frequency and percentages while continuous variables were presented as mean and standard deviation. Chi Square was used to determine the test of association between categorical values while the student t test was used to test of association between continuous variables. A P value of \u0026lt; 0.05 was considered as statistically significant. Knowledge of total respondents less than 60% was considered poor and utilization of the LLITNs less than 60% was adjudged to be poor.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eETHICAL CONSIDERATIONS\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eEthical clearance was sought and obtained from the Research and ethics committee of Okwe General Hospital and individual consent was obtained from the participants before questionnaire administration.\u003c/p\u003e"},{"header":"RESULTS","content":"\u003cp\u003eA total of 154 participants gave consent to participants in this study and 154 (100%) returned correctly filled questionnaire. Most of the participants were aged between 20 to 34years (75.3%) and 140 (90.9%) participants were married. \u0026nbsp;99 participants (64.2%) attained secondary education while 48(31\u0026gt;1%) had tertiary education. Most respondents were Christians 147(95.4%). The ethnicity of respondents showed that 126 (81.6%) of the respondents were Igbo. A larger number of the participants, 107 (69.4%) of respondents were self-employed and 106 (68.8%) of the spouse of respondents were equally self-employed.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe obstetric characteristics of respondents revealed that most respondents were multiparous. There was no statistically significant relationship between the age of respondents, the marital status of respondents, the ethnicity of respondents, the religion of respondents and their knowledge about Malaria in pregnancy. However, there was a statistical significant relationship between the level of education of respondents, obstetric history and their knowledge of Malaria in pregnancy at \u0026lt; 0.001 and \u0026lt; 0.001 respectively.\u003c/p\u003e\n\u003cp\u003eRegarding the knowledge of Malaria in pregnancy, 80(51.9%) \u0026ndash;more than half of the respondents did not know that Malaria in pregnancy was harmful to the mother and 96(62.3%) of respondents were unaware that Malaria in pregnancy was harmful to the unborn baby. 92(59.7%) admitted that Malaria in pregnancy can be prevented \u0026ndash; those who admitted that drugs can be used to prevent Malaria in pregnancy were 91(59%) while those who admitted that insecticide treated nets can be used for Malaria prevention in pregnancy were 64(41.5%). 149(92.8%) of respondents were aware of insecticide treated nets and 121(78.5%) of these knew that the nets can be washed and re-used. Overall the participants with poor knowledge were 86 (55.8%) as against 68 (44.1%) who had good knowledge.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAs regards the utilization of the insecticide treated nets, 80 (51.9%) possessed the Insecticide treated nets, while 67(43.5%) slept under the insecticide treated nets in the index pregnancy. 92(59.7%) acknowledged that insecticide treated nets will help prevent Malaria in pregnancy. Most of the respondents 120 (77.9%) received information concerning insecticide treated nets in the Ante Natal Clinic.\u003c/p\u003e\n\u003cp\u003eAlso, concerning the utilization of Insecticide treated nets, there was no statistically significant relationship between the age of the respondents, marital status, occupation, ethnicity or religion of the respondents. However, there was a statistically significant relationship between the level of education and the obstetrics characteristics of the respondents.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTABLE 1 : SOCIO-DEMOGRAPHICS CHARACTERISTICS OF RESPONDENTS\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 200px;\"\u003e\n \u003cp\u003eVARIABLE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 200px;\"\u003e\n \u003cp\u003eFREQUENCY\u003c/p\u003e\n \u003cp\u003eN=154\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 200px;\"\u003e\n \u003cp\u003ePERCENTAGE\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 200px;\"\u003e\n \u003cp\u003eAGE\u003c/p\u003e\n \u003cp\u003e\u0026lt;20\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;20-34\u003c/p\u003e\n \u003cp\u003e\u0026gt;35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 200px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003cp\u003e116\u003c/p\u003e\n \u003cp\u003e25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 200px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e8.4%\u003c/p\u003e\n \u003cp\u003e75.3%\u003c/p\u003e\n \u003cp\u003e16.2%\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 200px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eMARITAL STATUS\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; Single\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; Married\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; Separated\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; Divorced\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 200px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003cp\u003e140\u003c/p\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 200px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e7.7%\u003c/p\u003e\n \u003cp\u003e90.9%\u003c/p\u003e\n \u003cp\u003e0.64%\u003c/p\u003e\n \u003cp\u003e0.64%\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 200px;\"\u003e\n \u003cp\u003eLEVEL OF EDUCATION\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; Primary\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; Secondary\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; Tertiary\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 200px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003cp\u003e99\u003c/p\u003e\n \u003cp\u003e48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 200px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e4.5%\u003c/p\u003e\n \u003cp\u003e64.2%\u003c/p\u003e\n \u003cp\u003e31.1%\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 200px;\"\u003e\n \u003cp\u003eETHNICITY\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Igbo\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Isoko\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Ijaw\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Yoruba\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Hausa\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Ukwuani\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Others\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 200px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e126\u003c/p\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 200px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e81.8%\u003c/p\u003e\n \u003cp\u003e4.5%\u003c/p\u003e\n \u003cp\u003e1.2%\u003c/p\u003e\n \u003cp\u003e2.5%\u003c/p\u003e\n \u003cp\u003e1.2%\u003c/p\u003e\n \u003cp\u003e0.64%\u003c/p\u003e\n \u003cp\u003e7.7%\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 200px;\"\u003e\n \u003cp\u003eRELIGION\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Christianity\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Islam\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Traditionalist\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 200px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e147\u003c/p\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 200px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e95.4%\u003c/p\u003e\n \u003cp\u003e3.2%\u003c/p\u003e\n \u003cp\u003e1.2%\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 200px;\"\u003e\n \u003cp\u003eOCCUPATION\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Self employed\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Civil servant\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Unemployed\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Private employment\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Others\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 200px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e107\u003c/p\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 200px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e69.4%\u003c/p\u003e\n \u003cp\u003e8.4%\u003c/p\u003e\n \u003cp\u003e9.7%\u003c/p\u003e\n \u003cp\u003e10.3%\u003c/p\u003e\n \u003cp\u003e1.9%\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 200px;\"\u003e\n \u003cp\u003eHUSBAND\u0026rsquo;S OCCUPATION\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Self employed\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Civil Servant\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Unemployed\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Private employment\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Company employment\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Others\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 200px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e106\u003c/p\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 200px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e68.8%\u003c/p\u003e\n \u003cp\u003e5.1%\u003c/p\u003e\n \u003cp\u003e1.2%\u003c/p\u003e\n \u003cp\u003e5.1%\u003c/p\u003e\n \u003cp\u003e14.9%\u003c/p\u003e\n \u003cp\u003e3.8%\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 200px;\"\u003e\n \u003cp\u003eOBSTETRIC HISTORY\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;1\u003csup\u003est\u003c/sup\u003e pregnancy\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;2\u003csup\u003end\u003c/sup\u003e -4\u003csup\u003eth\u003c/sup\u003e Pregnancy\u003c/p\u003e\n \u003cp\u003e\u0026gt;5 pregnancies\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 200px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e59\u003c/p\u003e\n \u003cp\u003e78\u003c/p\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 200px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e38.3%\u003c/p\u003e\n \u003cp\u003e50.6%\u003c/p\u003e\n \u003cp\u003e11.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTABLE II: KNOWLEDGE OF MALARIA IN PREGNANCY\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"643\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eQuestion\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 238px;\"\u003e\n \u003cp\u003eOptions\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003eFrequency\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003ePercent\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eIs Malaria harmful to pregnant women\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 238px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003cp\u003eI don\u0026rsquo;t know\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003cp\u003e80\u003c/p\u003e\n \u003cp\u003e24\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e32.4%\u003c/p\u003e\n \u003cp\u003e51.9%\u003c/p\u003e\n \u003cp\u003e15.5%\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eIs Malaria harmful to unborn baby\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 238px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003cp\u003eI don\u0026rsquo;t know\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e47\u003c/p\u003e\n \u003cp\u003e96\u003c/p\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e30.5%\u003c/p\u003e\n \u003cp\u003e62.3%\u003c/p\u003e\n \u003cp\u003e7.1%\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eCan Malaria in pregnancy be prevented\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 238px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003cp\u003eI don\u0026rsquo;t know\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e92\u003c/p\u003e\n \u003cp\u003e55\u003c/p\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e59.7%\u003c/p\u003e\n \u003cp\u003e35.7%\u003c/p\u003e\n \u003cp\u003e5.1%\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eAre you aware of insecticide treated net\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 238px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003cp\u003eI don\u0026rsquo;t know\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e143\u003c/p\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e92.8%\u003c/p\u003e\n \u003cp\u003e6.4%\u003c/p\u003e\n \u003cp\u003e0.64%\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eHow can malaria in pregnancy be prevented?\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 238px;\"\u003e\n \u003cp\u003eClean food\u003c/p\u003e\n \u003cp\u003eClean water\u003c/p\u003e\n \u003cp\u003eUse of malaria drugs\u003c/p\u003e\n \u003cp\u003eUse of insecticide treated nets\u003c/p\u003e\n \u003cp\u003eUse of insecticides\u003c/p\u003e\n \u003cp\u003eUse of protective clothing\u003c/p\u003e\n \u003cp\u003eUse of insect repellent\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eOthers\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003cp\u003e91\u003c/p\u003e\n \u003cp\u003e64\u003c/p\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e9.7%\u003c/p\u003e\n \u003cp\u003e5.1%\u003c/p\u003e\n \u003cp\u003e59.0%\u003c/p\u003e\n \u003cp\u003e41.5%\u003c/p\u003e\n \u003cp\u003e5.8%\u003c/p\u003e\n \u003cp\u003e1.2%\u003c/p\u003e\n \u003cp\u003e1.9%\u003c/p\u003e\n \u003cp\u003e3.2%\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eCan the net be washed?\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 238px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003cp\u003eI don\u0026rsquo;t know\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e121\u003c/p\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003cp\u003e26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e78.5%\u003c/p\u003e\n \u003cp\u003e4.5%\u003c/p\u003e\n \u003cp\u003e16.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTABLE III: RESPONDENT\u0026rsquo;S KNOWLEDGE\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 208px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariable\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 208px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFrequency\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 208px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePercentage\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 208px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eRespondent\u0026rsquo;s knowledge\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 208px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 208px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 208px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Poor knowledge\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 208px;\"\u003e\n \u003cp\u003e86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 208px;\"\u003e\n \u003cp\u003e55.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 208px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Good knowledge\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 208px;\"\u003e\n \u003cp\u003e68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 208px;\"\u003e\n \u003cp\u003e44.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;TABLE IV: UTILIZATION OF INSECTICIDE TREATED NETS\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"643\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eQuestion\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 238px;\"\u003e\n \u003cp\u003eOptions\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003eFrequency\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003ePercent\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eDo you sleep under net throughout this pregnancy?\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 238px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003cp\u003eI don\u0026rsquo;t know\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e67\u003c/p\u003e\n \u003cp\u003e82\u003c/p\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e43.5%\u003c/p\u003e\n \u003cp\u003e53.2%\u003c/p\u003e\n \u003cp\u003e3.2%\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eDo you have the net currently?\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 238px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003cp\u003eI don\u0026rsquo;t know\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e80\u003c/p\u003e\n \u003cp\u003e66\u003c/p\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e51.9%\u003c/p\u003e\n \u003cp\u003e42.8%\u003c/p\u003e\n \u003cp\u003e4.5%\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eCan malaria in pregnancy be prevented with ITNs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 238px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003cp\u003eI don\u0026rsquo;t know\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e92\u003c/p\u003e\n \u003cp\u003e54\u003c/p\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e59.7%\u003c/p\u003e\n \u003cp\u003e35.0%\u003c/p\u003e\n \u003cp\u003e5.1%\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eSource of information\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 238px;\"\u003e\n \u003cp\u003eAntenatal clinic\u003c/p\u003e\n \u003cp\u003eNeighbour\u003c/p\u003e\n \u003cp\u003eFriend/relative\u003c/p\u003e\n \u003cp\u003eRadio/tv\u003c/p\u003e\n \u003cp\u003eChurch\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e120\u003c/p\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e77.9%\u003c/p\u003e\n \u003cp\u003e7.1%\u003c/p\u003e\n \u003cp\u003e9.7%\u003c/p\u003e\n \u003cp\u003e3.2%\u003c/p\u003e\n \u003cp\u003e1.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTABLE V: ASSOCIATION BETWEEN SOCIO-DEMOGRAPHICS AND KNOWLEDGE\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"671\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003eVariable\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003eGood knowledge\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003eBad knowledge\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003eX\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003eP-Value\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003eAGE\u003c/p\u003e\n \u003cp\u003e\u0026lt;20\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; 20-34\u003c/p\u003e\n \u003cp\u003e\u0026gt;35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e53\u003c/p\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003cp\u003e63\u003c/p\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0.456\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003eMARITAL STATUS\u003c/p\u003e\n \u003cp\u003eSingle\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; Married\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; Separated\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; Divorced\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003cp\u003e60\u003c/p\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003cp\u003e80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0.306\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0.95\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003eLEVEL OF EDUCATION\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; Primary\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; Secondary\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; Tertiary\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e26\u003c/p\u003e\n \u003cp\u003e40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e73\u003c/p\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e43.421\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026lt;0.00001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003eETHNICITY\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Igbo\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Isoko\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Ijaw\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Yoruba\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Hausa\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Others\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e59\u003c/p\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e67\u003c/p\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e4.475\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0.322\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003eRELIGION\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Christianity\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Islam\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Traditionalist\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e66\u003c/p\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e81\u003c/p\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e1.243\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0.536\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 143px;\"\u003e\n \u003cp\u003eOCCUPATION\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Self employed\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Civil servant\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Unemployed\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Private employment\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Others\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e51\u003c/p\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e56\u003c/p\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e6.899\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0.141\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTABLE VI: ASSOCIATION BETWEEN SOCIO-DEMOGRAPHICS AND UTILIZATION OF INSECTICIDE TREATED NETS\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"671\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003eVariable\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003eNO\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003eYES\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003eX\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003eP-Value\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003eAGE\u003c/p\u003e\n \u003cp\u003e\u0026lt;20\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;20-34\u003c/p\u003e\n \u003cp\u003e\u0026gt;35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003cp\u003e64\u003c/p\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003cp\u003e52\u003c/p\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e2.887\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0.236\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003eMARITAL STATUS\u003c/p\u003e\n \u003cp\u003eSingle\u003c/p\u003e\n \u003cp\u003eMarried\u003c/p\u003e\n \u003cp\u003eSeparated\u003c/p\u003e\n \u003cp\u003eDivorced\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e76\u003c/p\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003cp\u003e64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0.306\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0.95\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003eLEVEL OF EDUCATION\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; Primary\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; Secondary\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; Tertiary\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e18\u003c/p\u003e\n \u003cp\u003e59\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e30\u003c/p\u003e\n \u003cp\u003e40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e7.313\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0.025\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003eETHNICITY\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Igbo\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Isoko\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Ijaw\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Yoruba\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Others\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e64\u003c/p\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e62\u003c/p\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e2.647\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0.618\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003eRELIGION\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Christianity\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Islam\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Traditionalist\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e80\u003c/p\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e67\u003c/p\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e2.310\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0.315\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003eOCCUPATION\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Self employed\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Civil servant\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Unemployed\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Private employment\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Others\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e60\u003c/p\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e47\u003c/p\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e4.290\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0.368\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n"},{"header":"DISCUSSION","content":"\u003cp\u003eThis study aimed to determine the knowledge and utilization of long lasting insecticide treated nets (LLITNs) among pregnant women attending Ante Natal Care services in a secondary health care centre in Delta state, south south, Nigeria. According to the WHO, LLITNs are core preventive tools widely used by pregnant women at risk of Malaria \u003csup\u003e6\u003c/sup\u003e. The results from this study showed that knowledge of Malaria in pregnancy overall was poor-55.8% of the participants as against 44.1% of the respondents with good knowledge. Knowledge of Malaria amongst pregnant women and non-pregnant women have revealed not satisfactory knowledge in a community based study among Nigeria women \u003csup\u003e17\u003c/sup\u003e and also poor knowledge was noted among pregnant women in a rural population of pregnant women in Southwestern Nigeria \u003csup\u003e18\u003c/sup\u003e, low overall knowledge of Malaria among a large proportion of women in Burkina Faso \u003csup\u003e19\u003c/sup\u003e, insufficient knowledge of Malaria among pregnant women was also noted in Democratic Republic of Congo \u003csup\u003e\u0026nbsp;20\u003c/sup\u003e and \u0026nbsp;the level of Malaria knowledge was reported to be unsatisfactory among adult women in Malawi \u003csup\u003e21\u003c/sup\u003e. Whereas a different finding of good knowledge was noted in several studies. In a study among pregnant women in Nigeria, the women seemed to be aware of the basic concepts related to Malaria \u003csup\u003e22\u003c/sup\u003e, and in a rural setting in Ghana the study findings clearly demonstrated that the majority of mothers were knowledgeable about the causes, signs and symptoms and preventive measures of Malaria \u003csup\u003e23\u003c/sup\u003e, and in another study in the Eastern region of Ghana, the overall scores of respondent knowledge about Malaria was good \u003csup\u003e24\u003c/sup\u003e.Study from \u0026nbsp;North-western Ethiopia by \u0026nbsp;Goshi et al reported that the majority of participants had good knowledge on Malaria \u003csup\u003e25\u003c/sup\u003e. In this study, there was a positive association between the socio- demographic characteristics and knowledge as more participants with tertiary education had good knowledge about Malaria in pregnancy. This was also the finding of Oadimeji et al whose findings indicated that socio-demographic factors such as marital status and educational status greatly influenced knowledge on Malaria prevention and control measures \u003csup\u003e26\u003c/sup\u003e. The overall poor knowledge of Malaria in pregnancy among the respondents in this study may not be unconnected to the lesser number of participants with tertiary level of education..\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eKnowledge of Malaria in pregnancy will also impact the utilization of preventive measures against Malaria in pregnancy. One of such preventive measures is the long lasting insecticide treated nets. Results from this study revealed that though most of the participants had the LLITNs, (51.9%), less than half of the participants (43.5%) utilized the LLITNs notwithstanding that more than half of the participants were aware that LLITNs can be used to prevent Malaria in pregnancy. Findings from various studies were variable. In a study in Enugu, South Eastern Nigeria, Ugwu et al reported that the use of ITNs among study participants was poor among pregnant women \u003csup\u003e13\u003c/sup\u003e. Another study to assess ownership and utilization of ITN among pregnant women in Nigeria revealed that the utilization of ITN lagged well behind its ownership \u003csup\u003e27\u003c/sup\u003e. Similar findings that pregnant women rarely utilized the ITNs in a study in East Africa\u003csup\u003e28\u003c/sup\u003eand a systemic review from East African concluded that a significant proportion of pregnant women did not utilize the ITNs \u003csup\u003e29\u003c/sup\u003e. While in Myanmar, a relatively poor ITNs utilization was observed among pregnant women \u003csup\u003e30\u003c/sup\u003e. In contrast to these findings, another study among childbearing women in Northern Nigeria, the majority of the women (71.8%) utilized insecticide-treated nets \u003csup\u003e31\u003c/sup\u003e and another study among pregnant women attendees in a District hospital in Cameroon, the use of LLITN was moderately high among participants, though this still fell below their national target \u003csup\u003e32\u003c/sup\u003e.\u0026nbsp;\u003c/p\u003e"},{"header":"CONCLUSIONS AND RECOMMENDATIONS","content":"\u003cp\u003eThe conclusions from this study is that the participants had poor knowledge of Malaria and low utilization of the LLITNs. Therefore, it is recommended for more efforts among care givers especially during Ante natal clinic visits, public health officials and government at all levels to scale up efforts to maximize the utilization of LLITNs especially given the invaluable benefit this will portend in prevention of Malaria among pregnant women.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eLIMITATIONS\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis is a questionnaire based research and as such, there is the likelihood of recollection bias from participants and inaccurate responses.\u0026nbsp;\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eCONFLICTS OF INTERESTS\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare no conflict of interest in this Research and all financial obligations of this survey were undertaken by the lead investigator.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eEthics approval and consent to participate: Ethical approval was obtained from the Research and Ethics Committee of the General Hospital, Okwe, Asaba, Delta State Nigeria with reference number DSHMBOK/GH/B93VOL.XVI/205 before the commencement of the study in conformity with the Helsinki declaration with emphasis on the core ethical principles of autonomy, beneficience, non-maleficence and justice.\u003c/p\u003e\n\u003cp\u003eConsent for publication: This was obtained from all study participants and written consent was obtained from participants.\u003c/p\u003e\n\u003cp\u003eCompeting interests: The authors declare no competing interests.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDual publication:\u003c/strong\u003e No, the results/data/figures in this manuscript have not been published elsewhere, nor are they under consideration (from you or one of your Contributing Authors) by another publish\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData Availability:\u003c/strong\u003e\u0026nbsp; \u0026nbsp; Data and materials are available.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eAvailable at: https: //www.who.int/news-room/fact-sheets/detail/malaria. Accessed 10\u003csup\u003eth\u003c/sup\u003e October 2023.\u0026nbsp;\u003c/li\u003e\n \u003cli\u003eWHO. World Malaria report 2014,Geneva; World Health Organization\u003c/li\u003e\n \u003cli\u003eBilal JA, Malik EE, Al-Nafeesan A, Adams I. Global prevalence of congenital Malaria: A systemic review and meta-analysis. European Journal of Obstetrics and Gynaecology and Reproductive Biology 2020; 252: 53-542\u0026nbsp;\u003c/li\u003e\n \u003cli\u003eSteketee RW, Nahlen BL, Parise ME, Menendez C. The burden of Malaria in pregnancy in Malaria \u0026ndash;endemic areas. Am J Trop Med Hyg 2001; 64(1-2): 28-35\u003c/li\u003e\n \u003cli\u003eBausserman M, Conroy AL, North K, Patterson J. Bose C, Meshnick S. An overview of Malaria in pregnancy. Semin Perinatol 2019; 43(5): 282-290\u003c/li\u003e\n \u003cli\u003eAvailable at: https: //www.who.int/teams/immunization-vaccines-and-biologicals/essentials-programme-on-immunization/. Accessed 13\u003csup\u003eth\u003c/sup\u003e October 2023\u003c/li\u003e\n \u003cli\u003eBhatt S, Weiss DJ, Camron E, et al the effects of Malaria control on Plasmodium Falciparium in Africa between 2000 and 2015. Nature 2015; 526: 207-11\u003c/li\u003e\n \u003cli\u003eKalu S, Cleenewerck L, Gulma KB, Bhalla D. Prevention of Malaria in pregnancy; What Do the pregnant women of Nigeria know and Do about it? Infect Dis Obstet Gynecol 2022; 7061548.\u003c/li\u003e\n \u003cli\u003eOkafor IP, Ezekude C, Oluwole EO, Onigbogi OO. Malaria in pregnancy: A community-based study on the knowledge, perception and prevention among Nigeria women. J Family Med Prim Care. 2019; 8(4): 1359-1364\u003c/li\u003e\n \u003cli\u003eEzire O, Adebayo SB, Idogho O, Idogho O, Bamgboye EA, Nwokolo E. Determinants of use of insecticide treated nets among pregnant women in Nigeria. Int J women\u0026rsquo;s Health 2015; 26(7):655-61\u003c/li\u003e\n \u003cli\u003eBelay M, Deressa W. Use of insecticide treated nets by pregnant women and associated factors in a pre-dominantly rural population in Northern Ethiopia. Trop Med Int Health 2008; 13(10): 1303-3\u003c/li\u003e\n \u003cli\u003eMacintyre K, Keating J, Okbaldt YB, et al. Rolling out insecticide treated nets in Eritrea: examining the determinants of possession and use in Malarious zones during the rainy season. Trop Med Int Health 2006; 11(6): 824-33\u003c/li\u003e\n \u003cli\u003eUgwu EO, Ezechukwu PC, Obi SN, Ugwu AO, Okeke TC. Utilization of insecticide treated nets among pregnant women in Enugu, South Easter, Nigeria. Niger J Clin Pract. 2013; 16(3): 292-6\u003c/li\u003e\n \u003cli\u003eIsah AY, Nwobodo EI. Awareness and utilization of Insecticide treated mosquito nets among pregnant mothers at a tertiary health institution in North-Western Nigeria. Niger J Med 2009; 18(2): 175-8\u003c/li\u003e\n \u003cli\u003eAnikwe CC, Irechukwu JC, Okorochukwu BC et al Long Lasting Insecticide-Treated Nets: Assessment of Awareness and utilization of them among Antenatal Clinic Attendees in Abakaliki, Southeast, Nigeria. J Trop Med. 2020; 2020: 2984867 \u0026nbsp;\u003c/li\u003e\n \u003cli\u003eCharan J. Biswas T. How to calculate sample size for Different study Designs in Medical Research. Indian Journal of Psychological Medicine 2013; 35(2): 121-122\u0026nbsp;\u003c/li\u003e\n \u003cli\u003eOKafor IP, Ezekude C, Oluwole EO, Onigbogi OO Malaria in pregnancy: A community based study on the knowledge, perception and prevention among Nigeria women. J Family Med Prim Care 2019; 8(4): 1359-1364\u003c/li\u003e\n \u003cli\u003eAdebayo AM, Akinyemi OO, Cadmus EO Knowledge of Malaria prevention among pregnant women and female caregivers of under five children in rural Southwestern Nigeria. Peer J 2015; 3: e792\u003c/li\u003e\n \u003cli\u003eYaya S. Bishwajit G, Ekholuenetale M, Shah V, Kudio B, Udenigwe O knowledge of prevention, cause, symptoms and practices of Malaria among women in Burkina Faso. PLoS ONE 2017; 12 (7): e0180508\u003c/li\u003e\n \u003cli\u003eMavoungou YV, Niama AC, Nombo RC, Voumbo GM, Ndziessi G, Itoua C Open Journal of Preventive Medicine 2022; 12: 85-95\u003c/li\u003e\n \u003cli\u003eSixpence A, Nkoka O, Chirwa GC, Milanzi EB, Mangani C, Mathanga DP et al Levels of knowledge regarding Malaria causes, symptoms and prevention measures among Malawian women of reproductive age. Malaria Journal 2020; 19: 225\u003c/li\u003e\n \u003cli\u003eKalu S, Cleenewerck L, Gulma KA, Bhalla D Prevention of Malaria in pregnancy: what do pregnant women of Nigeria know and do about it. Infect Dis Obstet Gynecol 2022; 2022: 7061548.\u0026nbsp;\u003c/li\u003e\n \u003cli\u003eAdum P, Agyare VA, Owusu-Marfo J, Agyeman YN, knowledge, attitude and Practices of Malaria prevention measures among mothers with children under five years in a rural setting in Ghana. Malaria Journal 2023; 22:268\u0026nbsp;\u003c/li\u003e\n \u003cli\u003eLopez AR, Brown CA Knowledge, attitude and practices regarding Malaria prevention and control in communities in Eastern region, Ghana. PLoS ONE 2023; 18(8): e0290822\u003c/li\u003e\n \u003cli\u003eGoshi YA, Yitayew AE Malaria knowledge and its associated factors among pregnant women attending antenatal clinic of Adis Zemen Hospital, North-western Ethiopia. PLoS ONE 2019; 14(1): e0210221\u0026nbsp;\u003c/li\u003e\n \u003cli\u003eOladimeji KE, Tsoka-Gwegweni JM, Ojewole E, Yunga ST Knowledge of Malaria prevention among pregnant women and non-pregnant mothers of children aged 5 years in Ibadan, South West, Nigeria. Malar J 2019; 18(1): 92\u0026nbsp;\u003c/li\u003e\n \u003cli\u003eAnkomah A, Adebayo SB, Arogundade ED, Ayanti J, Nwokolo E, Ladipo O, Meremikwu MM Determinants of insecticide treated nets ownership and utilization among pregnant women in Nigeria. BMC Public Health 2012; 12:105\u003c/li\u003e\n \u003cli\u003eTerefe B, Habtie A, Chekole B Insecticide-treated net utilization and associated factors among pregnant women in East Africa: evidence from the recent national demographic and health surveys, 2011-2022. Malaria J 2023; 22: 349\u003c/li\u003e\n \u003cli\u003eDemoze L, Adame KC, Gizachew N et al utilization of insecticide treated nets among pregnant women in East Africa: evidence from a systemic review and meta-analysis BMC Public Health 2024; 24: 3083\u0026nbsp;\u003c/li\u003e\n \u003cli\u003eAung PL, Win KM, Show KL Utilization of insecticide treated bed nets among pregnant women in Myanmar- analysis of the 2015-2016 Demographic and Health survey. PLoS ONE 2022; 17(3): e0265262\u003c/li\u003e\n \u003cli\u003eSolanke BL, Soladoye DA, Birsirka IA, Abdurraheem A, Salau RS Utilization of insecticide-treated nets and associated factors among childbearing women in Northern Nigeria. Malar J 2023; 22: 184\u003c/li\u003e\n \u003cli\u003eAjonina MU, Ajonina-Ekoti IU, Ngulefac J,Ade N, Awambeng DN, Nfor CK et al Long-lasting insecticide nets use and the prevalence of plasmodium falciparium infection among pregnant women attending antenatal care at the Bonassama District Hospital, Littoral Region of Cameroon: a cross-sectional study. BMC Pregnancy and childbirth 2024;24:560\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"
[email protected]","identity":"discover-public-health","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"","sideBox":"Learn more about [Discover Public Health](https://link.springer.com/journal/12982)","snPcode":"12982","submissionUrl":"https://submission.springernature.com/new-submission/12982/3","title":"Discover Public Health","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Discover Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Malaria, Prevention, Pregnancy, Insecticide treated nets, utilization","lastPublishedDoi":"10.21203/rs.3.rs-8612421/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8612421/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBACKGROUND\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMalaria is a parasitic infection that is caused by the protozoa, Plasmodium which is transmitted to humans though the bites of infected female Anopheles mosquito. Nigeria has the highest global burden of Malaria and Malaria remains endemic in Nigeria. The effect of Malaria in pregnant women remains far reaching. With specific preventive measures, the effects of Malaria in pregnancy can be greatly reduced. One of such preventive measures is the use of Long Lasting Insecticide Treated nets (LLITNs) in pregnancy. These are nets that have been treated with insecticide and can repel mosquitoes – the vectors of Malaria. When appropriately used, the nets have been shown to reduce the burden of Malaria in pregnant women.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAIM\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe aim of this study was to determine the knowledge of Malaria in pregnancy and the utilization of LLITNs among pregnant women attending Ante Natal Care services in a secondary health care centre in South- South Nigeria.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMATERIALS AND METHODS:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eA descriptive cross sectional study of all consenting pregnant women attending Ante Natal Care services in a secondary health care facility was carried out from 1st August 2024 to 31st October 2024. A semi-structured questionnaire was administered to 154 women and there was 100% response rate. Knowledge less than 60% was considered poor and utilization of LLITNs less than 60% was equally considered poor. Collected Data was analyzed using SPSS IBM version 27 and a P value \u0026lt; 0.05 was considered statistically significant.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eRESULTS\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMore than half of the respondent, 80(51.9%) did not know that Malaria in pregnancy was harmful to the pregnant woman and 96(62.3%) were unaware that Malaria was harmful to the fetus. 92(59.7%) agreed that Malaria can be prevented and 64(41.5%) admitted that LLITNs can be used to prevent Malaria in pregnancy. 68(44.1%) had good knowledge while 86(55.8%) had poor knowledge. Overall, knowledge was adjudged to be poor .Only 80 (51.9%) of the respondents currently owned the LLITNs and 67(43.5%) of the respondents slept under the LLITNs in this index pregnancy. Overall, utilization of the LLITNs was adjudged to be poor.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCONCLUSION\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe results from this study revealed that the knowledge that LLITNs can be a tool in prevention of Malaria in pregnancy and it’s actually utilization was unsatisfactory. Real utilization of the LLITNs among these Ante Natal attendees is still low,\u003c/p\u003e","manuscriptTitle":"Assessment of the Knowledge and Utilization of Insecticide Treated Nets Among Pregnant Women in a Secondary Health Care Facility in South-south, Nigeria","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-03-07 04:11:26","doi":"10.21203/rs.3.rs-8612421/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2026-03-12T17:54:07+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-03-11T20:37:06+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-03-10T13:23:16+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"120352709540513301477303686031801705374","date":"2026-03-05T11:58:06+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"261585746378388644927400077604727103286","date":"2026-03-05T11:57:34+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"20470909577235146582325927689988819461","date":"2026-03-03T11:17:54+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2026-03-03T10:45:25+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2026-02-28T18:18:48+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2026-02-23T16:57:31+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2026-02-21T23:03:21+00:00","index":"","fulltext":""},{"type":"submitted","content":"Discover Public Health","date":"2026-02-21T22:59:28+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"
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