Predicting malaria epidemics in Burkina Faso with machine learning.

Accurately forecasting the case rate of malaria would enable key decision makers to intervene months before the onset of any outbreak, potentially saving lives. Until now, methods that forecast malaria have involved complicated numerical simulations that model transmission through a community. Here...

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Auteurs principaux: David Harvey, Wessel Valkenburg, Amara Amara
Format: article
Langue:EN
Publié: Public Library of Science (PLoS) 2021
Sujets:
R
Q
Accès en ligne:https://doaj.org/article/cad02408f83d41498bde3809f8ecff53
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