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Predicting household cooking fuel choice in sub-Saharan Africa using supervised machine learning analysis of DHS data from 28 countries

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LidAngAleNat
Publisher:
Spr
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doi.org

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https://creativecommons.org/licenses/by-nc-nd/4.0https://creativecommons.org/licenses/by-nc-nd/4.0

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Childhood anemia remains a major public health challenge in Sub-Saharan Africa, adversely affecting

Household cooking fuel choice: Evidence from the Republic of Benin

Abstract This paper investigates empirically the choice of cooking fuels and the factors that are a

Household cooking fuel type and childhood anaemia in sub-Saharan Africa: analysis of cross-sectional surveys of 123, 186 children from 29 countries

Objective This study sought to investigate the joint effect of household cooking fuel type and urba

<p>Machine learning workflow for predicting childhood anemia using pooled Demographic and Health Survey (DHS) data from 26 Sub-Saharan African countries (2016–2024).</p>

Machine learning workflow for predicting childhood anemia using pooled Demographic and Health Sur

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