Modelling and mapping the intra-urban spatial distribution of Plasmodium falciparum parasite rate using very-high-resolution satellite derived indicators

Modelling and mapping the intra-urban spatial distribution of Plasmodium falciparum parasite rate using very-high-resolution satellite derived indicators

Abstract Background The rapid and often uncontrolled rural–urban migration in Sub-Saharan Africa is transforming urban landscapes expected to provide shelter for more than 50% of Africa’s population by 2030. Consequently, the burden of malaria is increasingly affecting the urban population, while so...

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Bibliographic Details
Main Authors: Stefanos Georganos, Oscar Brousse, Sébastien Dujardin, Catherine Linard, Daniel Casey, Marco Milliones, Benoit Parmentier, Nicole P. M. van Lipzig, Matthias Demuzere, Tais Grippa, Sabine Vanhuysse, Nicholus Mboga, Verónica Andreo, Robert W. Snow, Moritz Lennert
Format: Article
Language:English
Published: BMC 2020-09-01
Series:International Journal of Health Geographics
Subjects:
Urban malaria
Random forest
Kampala
Dar es Salaam
Remote sensing
Population
Online Access:http://link.springer.com/article/10.1186/s12942-020-00232-2

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http://link.springer.com/article/10.1186/s12942-020-00232-2

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