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Pooled prevalence and associated factors of diarrhea among under-five years children in East Africa: A multilevel logistic regression analysis

Worldwide, diarrhea is the second most common cause of death and morbidity among under -five years' children. In sub-saran Africa, access to water, sanitation, and hygiene are very scanty and the burden of diarrhea diseases is countless relative to the rest of the world. Prior studies conducted...

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Bibliographic Details
Published in:PloS one 2022-04, Vol.17 (4), p.e0264559-e0264559
Main Authors: Tareke, Abiyu Abadi, Enyew, Ermias Bekele, Takele, Bayley Adane
Format: Article
Language:English
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Summary:Worldwide, diarrhea is the second most common cause of death and morbidity among under -five years' children. In sub-saran Africa, access to water, sanitation, and hygiene are very scanty and the burden of diarrhea diseases is countless relative to the rest of the world. Prior studies conducted in East Africa vary in design, sample size, and other data collection tools. Through those studies, it is hard to make regional comparisons. Combining datasets that are studied on similar people and having common variable identified enhances statistical power due to the large sample size, advance the ability to compare outcomes, and create the opportunity to develop new indicators. Hence, this study aimed to assess the prevalence and associated factors of diarrhea among under five years' children using the most recent national representative Demographic and Health Surveys from 12 East African countries. The information generated from this pooled datasets will give good insight into the sub-regional prevalence of diarrhea. This study utilized secondary data from 12 East African countries' most recent demographic health survey. Variables were extracted and appended together to assess the pooled prevalence of diarrhea and associated factors. A total of 90,263 under-five years of age children were encompassed in this study. STATA version was used to cross-tabulate and fit the models. To account for the hierarchical nature of the demographic health survey, multilevel logistic regression was calibrated. BIC, AIC, deviance, and LLR were used as Model comparison parameters. Variables with a p-value of
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0264559