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dc.contributor.authorBomblies, Arne
dc.contributor.authorLaminou, Ibrahim M
dc.contributor.authorDuchemin, Jean-Bernard
dc.contributor.authorYamana, Teresa K.
dc.contributor.authorEltahir, Elfatih A. B.
dc.date.accessioned2013-08-14T14:47:25Z
dc.date.available2013-08-14T14:47:25Z
dc.date.issued2013-08
dc.date.submitted2013-05
dc.identifier.issn1756-3305
dc.identifier.urihttp://hdl.handle.net/1721.1/79859
dc.description.abstractBackground: Individuals continuously exposed to malaria gradually acquire immunity that protects from severe disease and high levels of parasitization. Acquired immunity has been incorporated into numerous models of malaria transmission of varying levels of complexity (e.g. Bull World Health Organ 50:347, 1974; Am J Trop Med Hyg 75:19, 2006; Math Biosci 90:385–396, 1988). Most such models require prescribing inputs of mosquito biting rates or other entomological or epidemiological information. Here, we present a model with a novel structure that uses environmental controls of mosquito population dynamics to simulate the mosquito biting rates, malaria prevalence as well as variability in protective immunity of the population. Methods: A simple model of acquired immunity to malaria is presented and tested within the framework of the Hydrology, Entomology and Malaria Transmission Simulator (HYDREMATS), a coupled hydrology and agent-based entomology model. The combined model uses environmental data including rainfall, temperature, and topography to simulate malaria prevalence and level of acquired immunity in the human population. The model is used to demonstrate the effect of acquired immunity on malaria prevalence in two Niger villages that are hydrologically and entomologically very different. Simulations are conducted for the year 2006 and compared to malaria prevalence observations collected from the two villages. Results: Blood smear samples from children show no clear difference in malaria prevalence between the two villages despite pronounced differences in observed mosquito abundance. The similarity in prevalence is attributed to the moderating effect of acquired immunity, which depends on prior exposure to the parasite through infectious bites - and thus the hydrologically determined mosquito abundance. Modelling the level of acquired immunity can affect village vulnerability to climatic anomalies. Conclusions: The model presented has a novel structure constituting a mechanistic link between spatial and temporal environmental variability and village-scale malaria transmission. Incorporating acquired immunity into the model has allowed simulation of prevalence in the two villages, and isolation of the effects of acquired immunity in dampening the difference in prevalence between the two villages. Without these effects, the difference in prevalence between the two villages would have been significantly larger in response to the large differences in mosquito populations and the associated biting rates.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant EAR-094628)en_US
dc.description.sponsorshipAfrican Monsoon Multidisciplinary Analysisen_US
dc.publisherBioMed Central Ltden_US
dc.relation.isversionofhttp://dx.doi.org/10.1186/1756-3305-6-226en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/2.0en_US
dc.sourceBioMed Central Ltden_US
dc.titleLinking environmental variability to village-scale malaria transmission using a simple immunity modelen_US
dc.typeArticleen_US
dc.identifier.citationYamana, Teresa K et al. “Linking Environmental Variability to Village-scale Malaria Transmission Using a Simple Immunity Model.” Parasites & Vectors 6.1 (2013): 226.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.contributor.mitauthorYamana, Teresa K.en_US
dc.contributor.mitauthorEltahir, Elfatih A. B.en_US
dc.relation.journalParasites & Vectorsen_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.updated2013-08-10T06:09:27Z
dc.language.rfc3066en
dc.rights.holderTeresa K Yamana et al.; licensee BioMed Central Ltd.
dspace.orderedauthorsYamana, Teresa K; Bomblies, Arne; Laminou, Ibrahim M; Duchemin, Jean-Bernard; Eltahir, Elfatih A Ben_US
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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