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Dataset Information

Predicting the direct and indirect impacts of climate change on malaria in coastal Kenya.


ABSTRACT:

Background

The transmission of malaria is highly variable and depends on a range of climatic and anthropogenic factors. This study investigates the combined, i.e. direct and indirect, impacts of climate change on the dynamics of malaria through modifications in: (i) the sporogonic cycle of Plasmodium induced by air temperature increase, and (ii) the life cycle of Anopheles vector triggered by changes in natural breeding habitat arising from the altered moisture dynamics resulting from acclimation responses of vegetation under climate change. The study is performed for a rural region in Kilifi county, Kenya.

Methods and findings

We use a stochastic lattice-based malaria (SLIM) model to make predictions of changes in Anopheles vector abundance, the life cycle of Plasmodium par

SUBMITTER: Le PVV 

PROVIDER: S-EPMC6364917 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature