Comparison of Malaria Simulations Driven by Meteorological Observations and Reanalysis Products in Senegal.

ABSTRACT: The analysis of the spatial and temporal variability of climate parameters is crucial to study the impact of climate-sensitive vector-borne diseases such as malaria. The use of malaria models is an alternative way of producing potential malaria historical data for Senegal due to the lack of reliable observations for malaria outbreaks over a long time period. Consequently, here we use the Liverpool Malaria Model (LMM), driven by different climatic datasets, in order to study and validate simulated malaria parameters over Senegal. The findings confirm that the risk of malaria transmission is mainly linked to climate variables such as rainfall and temperature as well as specific landscape characteristics. For the whole of Senegal, a lag of two months is generally observed between the peak of

SUBMITTER: Diouf I 

PROVIDER: S-EPMC5664620 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature