Modelling chronic malnutrition in Zambia: A Bayesian distributional regression approach

Modelling chronic malnutrition in Zambia: A Bayesian distributional regression approach

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<h4>Background</h4> The burden of child under-nutrition still remains a global challenge, with greater severity being faced by low- and middle-income countries, despite the strategies in the Sustainable Development Goals (SDGs). Globally, malnutrition is the one of the most important ris...

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Bibliographic Details
Main Authors: Given Moonga, Stephan Böse-O’Reilly, Ursula Berger, Kenneth Harttgen, Charles Michelo, Dennis Nowak, Uwe Siebert, John Yabe, Johannes Seiler
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8336812/?tool=EBI

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8336812/?tool=EBI

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