The Multi-Satellite Environmental and Socioeconomic Predictors of Vector-Borne Diseases in African Cities: Malaria as an Example

The Multi-Satellite Environmental and Socioeconomic Predictors of Vector-Borne Diseases in African Cities: Malaria as an Example

Remote sensing has been used for decades to produce vector-borne disease risk maps aiming at better targeting control interventions. However, the coarse and climatic-driven nature of these maps largely hampered their use in the fight against malaria in highly heterogeneous African cities. Remote sen...

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Bibliographic Details
Main Authors: Camille Morlighem, Celia Chaiban, Stefanos Georganos, Oscar Brousse, Jonas Van de Walle, Nicole P. M. van Lipzig, Eléonore Wolff, Sébastien Dujardin, Catherine Linard
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Remote Sensing
Subjects:
vector-borne diseases
malaria
African cities
random forest
multi-satellite
Online Access:https://www.mdpi.com/2072-4292/14/21/5381

Internet

https://www.mdpi.com/2072-4292/14/21/5381

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