Impact of Water, Sanitation, and Hygiene Components on Under-5 Children's Mortality in Ethiopia: A Comparative Analysis of Count Regression Models

Impact of Water, Sanitation, and Hygiene Components on Under-5 Children's Mortality in Ethiopia: A Comparative Analysis of Count Regression Models | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Impact of Water, Sanitation, and Hygiene Components on Under-5 Children's Mortality in Ethiopia: A Comparative Analysis of Count Regression Models Melkamu Chafamo, B. Muniswamy, B. Punyavathi This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4512201/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Objectives To investigates the effect of WASH components on under 5 children mortality and Compare the performance of count advanced count regression models. Design In this study, data on Water, Sanitation, and Hygiene Components on Under-5 Children's Mortality in Ethiopia participating in the Ethiopian Demographic and Health survey conducted at 2019. The cross-sectional study design was used to study the Demographic and Health data from 11 different regions of Ethiopia. R programming has been used to analyse descriptive and inferential statistics. The baseline Poisson regression model exhibited overdispersion, leading to the exploration of various count regression models. The Negative Binomial regression model emerged as the best fit for the data, displaying low Akaike Information Criterion (AI) values. Setting Women of reproductive Age 15-49 with Under-Five children were interviewed. Participants A total of 5753 women of reproductive Age 15-49 with Under-Five children were interviewed. Primary Outcome Measure The number of under-5 children death, that is count variable. Results The study reveals Significant factors influencing under 5 children's mortality were identified, including rural residence, inadequate toilet facilities, reliance on unsafe water sources, household access to radios, and household composition. Conclusion Children living in rural areas faced a significantly higher risk of mortality compared to urban counterparts. Furthermore, households lacking proper sanitation facilities or using unsafe water sources exhibited elevated mortality rates among under-5-year-olds. Conversely, households with radios showed a lower risk of under-5-year-old child deaths. The number of children in a household under the age of five and female-headed households were associated with lower mortality rates. WASH Components Under 5 Children Mortality Comparative Analysis Count Regression Models Health Outcome Full Text Additional Declarations No competing interests reported. Tables 1-4 are available in the Supplementary Files section. Supplementary Files WASHTable.docx Cite Share Download PDF Status: Posted Version 1 posted 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies 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-4512201","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":310331020,"identity":"054fcec5-8277-437b-8eef-50fc71e09326","order_by":0,"name":"Melkamu Chafamo","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAzUlEQVRIiWNgGAWjYFACHgaGCiDFD2InFBCr5QyQkmwAaTEgRYvBARCHGC267WcPfjhQs03O+PzqxA8PDBjk+cUO4NdidiYvWeLAsdvGZjfebpYAOsxw5uwEAlpu8BhIf2C7nbjtxtkNIC0JBrcJazH+ceDf7cTNM85u/kGsFjOJg223Ezfw924j0pYzOWYWB/tuG0vc4N1mkWAgQYRfjp8xvnHg2205/v6zm2/+qLCR55cmoAUBJMAqJYhVDgL8B0hRPQpGwSgYBSMJAABaAUrcHKcN0wAAAABJRU5ErkJggg==","orcid":"","institution":"Andhra University","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Melkamu","middleName":"","lastName":"Chafamo","suffix":""},{"id":310331021,"identity":"e315173d-4311-4377-bce1-5cab3428a37b","order_by":1,"name":"B. 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