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dc.contributor.author | Kribs, Christopher | |
dc.contributor.author | Crawford, Britnee | |
dc.date.accessioned | 2016-07-12T13:59:25Z | |
dc.date.available | 2016-07-12T13:59:25Z | |
dc.date.issued | 2014-06 | |
dc.identifier.citation | Published in Mathematical Biosciences and Engineering 11(3):471-509 | en_US |
dc.identifier.issn | 1547-1063 | |
dc.identifier.uri | http://hdl.handle.net/10106/25815 | |
dc.description | Author's final draft, known as pre-print. | en_US |
dc.description.abstract | This study presents a metapopulation model for the sylvatic transmission
of Trypanosoma cruzi, the etiological agent of Chagas' disease, across
multiple geographical regions and multiple overlapping host-vector transmission
cycles. Classical qualitative analysis of the model and several submodels
focuses on the parasite's basic reproductive number, illustrating how vector
migration across patches and multiple transmission routes to hosts (including
vertical transmission) determine the infection's persistence in each cycle. Numerical
results focus on trends in endemic [equilibrium] persistence levels as
functions of vector migration rates, and highlight the significance of the different
epidemiological characteristics of transmission in each of the three regions. | en_US |
dc.description.sponsorship | This research was supported by a 2008 Norman Hackerman
Advanced Research Program grant and by the National Science Foundation under
grant DMS-1020880. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | American Institute of Mathematical Science | en_US |
dc.subject | T. cruzi | en_US |
dc.subject | Dynamical systems | en_US |
dc.subject | Vector migration | en_US |
dc.subject | Metapopulation models | en_US |
dc.subject | Reproductive number | en_US |
dc.title | A metapopulation model for sylvatic T. cruzi transmission with vector migration | 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.rights.license | Licensed under Creative Commons, CC BY | |
dc.identifier.doi | doi:10.3934/mbe.2014.11.471 | |
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