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dc.contributor.authorEndo, Noriko
dc.contributor.authorEltahir, Elfatih A. B.
dc.date.accessioned2018-05-03T20:41:28Z
dc.date.available2018-05-03T20:41:28Z
dc.date.issued2018-01
dc.date.submitted2017-09
dc.identifier.issn1475-2875
dc.identifier.urihttp://hdl.handle.net/1721.1/115232
dc.description.abstractBackground 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 CO₂. 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 CO₂ (CO₂ 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. Keywords: Malaria transmission; Water-resource reservoirs; Environmental conditionsen_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant EAR-0946280)en_US
dc.publisherBioMed Central Ltden_US
dc.relation.isversionofhttp://dx.doi.org/10.1186/s12936-018-2197-5en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceBioMed Centralen_US
dc.titleModelling and observing the role of wind in Anopheles population dynamics around a reservoiren_US
dc.typeArticleen_US
dc.identifier.citationEndo, Noriko and Elfatih A. B. Eltahir. "Modelling and observing the role of wind in Anopheles population dynamics around a reservoir." Malaria Journal 17 (Janaury 2018): 48 © 2018 The Author(s)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.contributor.departmentParsons Laboratory for Environmental Science and Engineering (Massachusetts Institute of Technology)en_US
dc.contributor.mitauthorEndo, Noriko
dc.contributor.mitauthorEltahir, Elfatih A. B.
dc.relation.journalMalaria Journalen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2018-01-28T09:44:08Z
dc.language.rfc3066en
dc.rights.holderThe Author(s)
dspace.orderedauthorsEndo, Noriko; Eltahir, Elfatih A. B.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-4123-0489
dc.identifier.orcidhttps://orcid.org/0000-0002-6148-7997
mit.licensePUBLISHER_CCen_US


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