Environmental Determinants of Malaria Transmission Around the Koka Reservoir in Ethiopia


Title Environmental Determinants of Malaria Transmission Around the Koka Reservoir in Ethiopia
Publication Type Journal Article
Year of Publication 2018
Authors Endo, N., & Eltahir, E.A.B.
Journal AGU Publications
Date Published 2018
Abstract

Abstract New dam construction is known to exacerbate malaria transmission in Africa as the vectors of malaria—Anopheles mosquitoes—use bodies of water as breeding sites. Precise environmental mechanisms of how reservoirs exacerbate malaria transmission are yet to be identified. Understanding
of these mechanisms should lead to a better assessment of the impacts of dam construction and to
new prevention strategies. Combining extensive multiyear field surveys around the Koka Reservoir in Ethiopia and rigorous model development and simulation studies, environmental mechanisms of malaria transmission around the reservoir were examined. Most comprehensive and detailed malaria transmission model, Hydrology, Entomology, and Malaria Transmission Simulator, was applied to a village adjacent to the reservoir. Significant contributions to the dynamics of malaria transmission are shaped by wind profile, marginal pools, temperature, and shoreline locations. Wind speed and wind direction influence Anopheles populations and malaria transmission during the major and secondary mosquito seasons. During the secondary mosquito season, a noticeable influence was also attributed to marginal pools. Temperature was found to play an important role, not so much in Anopheles population dynamics, but in malaria transmission dynamics. Change in shoreline locations drives malaria transmission dynamics, with closer shoreline locations to the village making malaria transmission more likely. Identified environmental mechanisms help in predicting malaria transmission seasons and in developing village relocation strategies upon dam construction to minimize the risk of malaria.

URL https://doi.org/10.1002/2017GH000108
File:
Endo_et_al-2017-GeoHealth.pdf
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