Using remote sensing environmental data to forecast malaria incidence at a rural district hospital in Western Kenya

Abstract Malaria surveillance data provide opportunity to develop forecasting models. Seasonal variability in environmental factors correlate with malaria transmission, thus the identification of transmission patterns is useful in developing prediction models. However, with changing seasonal transmi...

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Bibliographic Details
Main Authors: Maquins Odhiambo Sewe, Yesim Tozan, Clas Ahlm, Joacim Rocklöv
Format: Article
Language:English
Published: Nature Publishing Group 2017-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-017-02560-z