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dc.contributor.authorKribs, Christopher
dc.contributor.authorYoung, Kamuela E.
dc.contributor.authorMubayi, Anuj
dc.date.accessioned2016-10-13T17:20:35Z
dc.date.available2016-10-13T17:20:35Z
dc.date.issued2015-11
dc.identifier.citationPulbished in Acta Tropica 151, November 2015en_US
dc.identifier.issn0001-706X
dc.identifier.issn1873-6254
dc.identifier.urihttp://hdl.handle.net/10106/26059
dc.descriptionAuthor's final draft after peer review, also known as a post print.en_US
dc.description.abstract**Please note that the full text is embargoed** ABSTRACT: The parasite Trypanosoma cruzi, spread by triatomine vectors, affects over 100 mammalian species throughout the Americas, including humans, in whom it causes Chagas’ disease. In the U.S., only a few autochthonous cases have been documented in humans, but prevalence is high in sylvatic hosts (primarily raccoons in the southeast and woodrats in Texas). The sylvatic transmission of T. cruzi is spread by the vector species Triatoma sanguisuga and Triatoma gerstaeckeri biting their preferred hosts and thus creating multiple interacting vector-host cycles. The goal of this study is to quantify the rate of contacts between different host and vector species native to Texas using an agent-based model framework. The contact rates, which represent bites, are required to estimate transmission coefficients, which can be applied to models of infection dynamics. In addition to quantitative estimates, results confirm host irritability (in conjunction with host density) and vector starvation thresholds and dispersal as determining factors for vector density as well as host-vector contact rates.en_US
dc.description.sponsorshipKY was supported by NSF grant DMS-0946431; AM and CK acknowledge the support of NSF grant DMS-1020880.en_US
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.subjectTrypanosma cruzien_US
dc.subjectMathematical modelingen_US
dc.subjectVector-borne infectionsen_US
dc.titleAgent-based mathematical modeling as a tool for estimating T. cruzi vector-host contact ratesen_US
dc.typeArticleen_US
dc.publisher.departmentDepartment of Mathematics, University of Texas at Arlington
dc.identifier.externalLinkDescriptionThe original publication is available at Article DOI
dc.identifier.doidoi:10.1016/j.actatropoica.2015.06.025


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