Climate Drivers of Malaria Transmission Seasonality and Their Relative Importance in Sub‐Saharan Africa

Author:

Yamba Edmund I.1ORCID,Fink Andreas H.2ORCID,Badu Kingsley3,Asare Ernest O.4ORCID,Tompkins Adrian M.5ORCID,Amekudzi Leonard K.1ORCID

Affiliation:

1. Department of Meteorology and Climate Science Kwame Nkrumah University of Science and Technology (KNUST) Kumasi Ghana

2. Institute of Meteorology and Climate Research Karlsruhe Institute of Technology Karlsruhe Germany

3. Department of Theoretical and Applied Biology Kwame Nkrumah University of Science and Technology Kumasi Ghana

4. Department of Epidemiology of Microbial Diseases Yale School of Public Health Yale University New Haven CT USA

5. International Centre for Theoretical Physics, Earth System Physics Trieste Italy

Abstract

AbstractA new database of the Entomological Inoculation Rate (EIR) was used to directly link the risk of infectious mosquito bites to climate in Sub‐Saharan Africa. Applying a statistical mixed model framework to high‐quality monthly EIR measurements collected from field campaigns in Sub‐Saharan Africa, we analyzed the impact of rainfall and temperature seasonality on EIR seasonality and determined important climate drivers of malaria seasonality across varied climate settings in the region. We observed that seasonal malaria transmission was within a temperature window of 15°C–40°C and was sustained if average temperature was well above 15°C or below 40°C. Monthly maximum rainfall for seasonal malaria transmission did not exceed 600 in west Central Africa, and 400 mm in the Sahel, Guinea Savannah, and East Africa. Based on a multi‐regression model approach, rainfall and temperature seasonality were found to be significantly associated with malaria seasonality in all parts of Sub‐Saharan Africa except in west Central Africa. Topography was found to have significant influence on which climate variable is an important determinant of malaria seasonality in East Africa. Seasonal malaria transmission onset lags behind rainfall only at markedly seasonal rainfall areas such as Sahel and East Africa; elsewhere, malaria transmission is year‐round. High‐quality EIR measurements can usefully supplement established metrics for seasonal malaria. The study's outcome is important for the improvement and validation of weather‐driven dynamical mathematical malaria models that directly simulate EIR. Our results can contribute to the development of fit‐for‐purpose weather‐driven malaria models to support health decision‐making in the fight to control or eliminate malaria in Sub‐Saharan Africa.

Publisher

American Geophysical Union (AGU)

Subject

Health, Toxicology and Mutagenesis,Management, Monitoring, Policy and Law,Public Health, Environmental and Occupational Health,Pollution,Waste Management and Disposal,Water Science and Technology,Epidemiology,Global and Planetary Change

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