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Despite global efforts to control the disease, its prevalence in high-risk African countries continues to be alarming, with records of substantial morbidity and mortality rates. Understanding the association of multiple childhood, maternal, and household factors with malaria prevalence, especially among vulnerable young populations, is crucial for effective intervention strategies.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study examines the prevalence of malaria among UN5 children in selected high-risk SSA countries and analyzes its association with various childhood, maternal, and household factors.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Data from the Malaria Indicator Surveys (MIS) spanning from 2010 to 2023 were analyzed. A weighted sample of 35,624 UN5 children from seven countries in sub-Saharan Africa (SSA) known for high malaria prevalence was considered in the analyses. Descriptive statistics and modified Poisson regression analysis were used to assess the association of multiple factors with malaria prevalence. Stata version 15 software was used in analyzing the data and statistical significance was set at a 5% significance level.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The overall pooled prevalence of malaria among the studied population was 26.2%, with substantial country-specific variations observed. In terms of child factors, a child\u2019s age was significantly associated with malaria prevalence (APR\u2009=\u20091.010, 95% CI: 1.007\u20131.012). Children of mothers with higher education levels (APR for higher education\u2009=\u20090.586, 95% CI: 0.425\u20130.806) and Fansidar uptake during pregnancy (APR\u2009=\u20090.731, 95% CI: 0.666\u20130.802) were associated with lower malaria risk. Children from middle-wealth (APR\u2009=\u20090.783, 95% CI: 0.706\u20130.869) and rich (APR\u2009=\u20090.499, 95% CI: 0.426\u20130.584) households had considerably lower malaria prevalence compared to those from poor households. Additionally, rural residency was associated with a higher risk of malaria compared to urban residency (APR\u2009=\u20091.545, 95% CI: 1.255\u20131.903).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The study highlights a notable malaria prevalence among under-five (UN5) children in high-risk SSA countries, influenced significantly by factors such as maternal education, Fansidar uptake during pregnancy, socioeconomic status, and residency. These findings underscore the importance of targeted malaria prevention strategies that address these key determinants to effectively reduce the malaria burden in this vulnerable population.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s12889-024-19206-1","type":"journal-article","created":{"date-parts":[[2024,6,24]],"date-time":"2024-06-24T13:02:01Z","timestamp":1719234121000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":64,"title":["Malaria in under-five children: prevalence and multi-factor analysis of high-risk African countries"],"prefix":"10.1186","volume":"24","author":[{"given":"Jackline Vicent","family":"Mbishi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Suleiman","family":"Chombo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pankras","family":"Luoga","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huda Jaffar","family":"Omary","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Heavenlight A.","family":"Paulo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John","family":"Andrew","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Isaac Yeboah","family":"Addo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,6,24]]},"reference":[{"issue":"9","key":"19206_CR1","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1016\/j.medcle.2020.05.024","volume":"155","author":"R Varo","year":"2020","unstructured":"Varo R, Chaccour C, Bassat Q. 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