Simplified smartphone app for identifying the poorest households in Ghana
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Application simplifiée pour smartphone permettant d'identifier les ménages les plus pauvres au Ghana
Jun 2024 ; 8 páginas
Ed. Aquaya - San Anselmo
Formato descargable: PdF
(3 140 ko)
Sitio web: https://aquaya.org/wp-content/uploads/3July_AI-based-Poverty-Screening-Tool-for-Ghana-.pdf
Abstract:
Access to safe drinking water is still low among the poorest households in sub-Saharan Africa. Water subsidies can enhance access to safe water services, but they often fail to reach the very poor. In this study, we developed a simple Android smartphone application to quickly identify households living in poverty. We used machine learning (feature reduction and neural network models) to reduce an already existing 47-question proxy-means test to a 14-question survey that is faster to administer. This new survey approached the performance of the 47-question version and outperformed the currently used Poverty Probability Index proxy-means test (PMT). To ensure high acceptance of the reduced PMT approach among the population, we included an additional set of five questions reflecting local perceptions of poverty. The resulting app can operate on any Android smartphone without an internet connection. It can be used to target subsidies for water and other services where support is most needed.
Palabras claves: |
acceso al agua (CI) (DT) (HP) (ope) , análisis socioeconómico (CI) (DT) (HP) (ope) |
País: |
Editor/Difusor: |
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Aquaya
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The Aquaya Institute - San Anselmo - Estados Unidos |
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