Spatial Optimization Methods for Malaria Risk Mapping in Sub‐Saharan African Cities Using Demographic and Health Surveys

Spatial Optimization Methods for Malaria Risk Mapping in Sub‐Saharan African Cities Using Demographic and Health Surveys

Abstract Vector‐borne diseases, such as malaria, are affected by the rapid urban growth and climate change in sub‐Saharan Africa (SSA). In this context, intra‐urban malaria risk maps act as a key decision‐making tool for targeting malaria control interventions, especially in resource‐limited setting...

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Bibliographic Details
Main Authors: Camille Morlighem, Celia Chaiban, Stefanos Georganos, Oscar Brousse, Nicole P. M. vanLipzig, Eléonore Wolff, Sébastien Dujardin, Catherine Linard
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2023-10-01
Series:GeoHealth
Subjects:
urban malaria
sub‐Saharan Africa
DHS
remote sensing
random forest
Online Access:https://doi.org/10.1029/2023GH000787

Internet

https://doi.org/10.1029/2023GH000787

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