dc.contributor.author | Kribs, Christopher | |
dc.contributor.author | Young, Kamuela E. | |
dc.contributor.author | Mubayi, Anuj | |
dc.date.accessioned | 2016-10-13T17:20:35Z | |
dc.date.available | 2016-10-13T17:20:35Z | |
dc.date.issued | 2015-11 | |
dc.identifier.citation | Pulbished in Acta Tropica 151, November 2015 | en_US |
dc.identifier.issn | 0001-706X | |
dc.identifier.issn | 1873-6254 | |
dc.identifier.uri | http://hdl.handle.net/10106/26059 | |
dc.description | Author'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.sponsorship | KY was supported by NSF grant DMS-0946431; AM and CK acknowledge the support of NSF grant
DMS-1020880. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Elsevier | en_US |
dc.subject | Trypanosma cruzi | en_US |
dc.subject | Mathematical modeling | en_US |
dc.subject | Vector-borne infections | en_US |
dc.title | Agent-based mathematical modeling as a tool for estimating T. cruzi vector-host contact rates | en_US |
dc.type | Article | en_US |
dc.publisher.department | Department of Mathematics, University of Texas at Arlington | |
dc.identifier.externalLinkDescription | The original publication is available at Article DOI | |
dc.identifier.doi | doi:10.1016/j.actatropoica.2015.06.025 | |