Publications

TitleModelling and observing the role of wind in Anopheles population dynamics around a reservoir.
Publication TypeJournal Article
Year2018
AuthorsEndo N, Eltahir EA
JournalMalar J
Volume17
Issue1
Pagination48
Date2018 Jan 25
ISSN1475-2875
Abstract

BACKGROUND: Wind conditions, as well as other environmental conditions, are likely to influence malaria transmission through the behaviours of Anopheles mosquitoes, especially around water-resource reservoirs. Wind-induced waves in a reservoir impose mortality on aquatic-stage mosquitoes. Mosquitoes' host-seeking activity is also influenced by wind through dispersion of [Formula: see text]. However, no malaria transmission model exists to date that simulated those impacts of wind mechanistically.

METHODS: A modelling framework for simulating the three important effects of wind on the behaviours of mosquito is developed: attraction of adult mosquitoes through dispersion of [Formula: see text] ([Formula: see text] attraction), advection of adult mosquitoes (advection), and aquatic-stage mortality due to wind-induced surface waves (waves). The framework was incorporated in a mechanistic malaria transmission simulator, HYDREMATS. The performance of the extended simulator was compared with the observed population dynamics of the Anopheles mosquitoes at a village adjacent to the Koka Reservoir in Ethiopia.

RESULTS: The observed population dynamics of the Anopheles mosquitoes were reproduced with some reasonable accuracy in HYDREMATS that includes the representation of the wind effects. HYDREMATS without the wind model failed to do so. Offshore wind explained the increase in Anopheles population that cannot be expected from other environmental conditions alone.

CONCLUSIONS: Around large water bodies such as reservoirs, the role of wind in the dynamics of Anopheles population, hence in malaria transmission, can be significant. Modelling the impacts of wind on the behaviours of Anopheles mosquitoes aids in reproducing the seasonality of malaria transmission and in estimation of the risk of malaria around reservoirs.

DOI10.1186/s12936-018-2197-5
Alternate JournalMalar. J.
PubMed ID29370803
PubMed Central IDPMC5784732
Grant ListEAR-0946280 / / National Science Foundation / United States
02/MI/MI/CP/11/07633/GEN/G/00 / / Masdar Institute of Science and Technology / United States
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