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Global analysis of multi-host and multi-vector epidemic models
We formulate a multi-group and multi-vector epidemic model in which hosts' dynamics is captured by staged-progression [Formula: see text] framework and the dynamics of vectors is captured by an SI framework. The proposed model describes the evolution of a class of zoonotic infections where the...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Elsevier Inc.
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7126432/ https://www.ncbi.nlm.nih.gov/pubmed/32287387 http://dx.doi.org/10.1016/j.jmaa.2019.03.030 |
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author | Bichara, Derdei Mahamat |
author_facet | Bichara, Derdei Mahamat |
author_sort | Bichara, Derdei Mahamat |
collection | PubMed |
description | We formulate a multi-group and multi-vector epidemic model in which hosts' dynamics is captured by staged-progression [Formula: see text] framework and the dynamics of vectors is captured by an SI framework. The proposed model describes the evolution of a class of zoonotic infections where the pathogen is shared by m host species and transmitted by p arthropod vector species. In each host, the infectious period is structured into n stages with a corresponding infectiousness parameter to each vector species. We determine the basic reproduction number [Formula: see text] and investigate the dynamics of the systems when this threshold is less or greater than one. We show that the dynamics of the multi-host, multi-stage, and multi-vector system is completely determined by the basic reproduction number and the structure of the host-vector network configuration. Particularly, we prove that the disease-free equilibrium is globally asymptotically stable (GAS) whenever [Formula: see text] , and a unique strongly endemic equilibrium exists and is GAS if [Formula: see text] and the host-vector configuration is irreducible. That is, either the disease dies out or persists in all hosts and all vector species. |
format | Online Article Text |
id | pubmed-7126432 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71264322020-04-06 Global analysis of multi-host and multi-vector epidemic models Bichara, Derdei Mahamat J Math Anal Appl Article We formulate a multi-group and multi-vector epidemic model in which hosts' dynamics is captured by staged-progression [Formula: see text] framework and the dynamics of vectors is captured by an SI framework. The proposed model describes the evolution of a class of zoonotic infections where the pathogen is shared by m host species and transmitted by p arthropod vector species. In each host, the infectious period is structured into n stages with a corresponding infectiousness parameter to each vector species. We determine the basic reproduction number [Formula: see text] and investigate the dynamics of the systems when this threshold is less or greater than one. We show that the dynamics of the multi-host, multi-stage, and multi-vector system is completely determined by the basic reproduction number and the structure of the host-vector network configuration. Particularly, we prove that the disease-free equilibrium is globally asymptotically stable (GAS) whenever [Formula: see text] , and a unique strongly endemic equilibrium exists and is GAS if [Formula: see text] and the host-vector configuration is irreducible. That is, either the disease dies out or persists in all hosts and all vector species. Elsevier Inc. 2019-07-15 2019-03-21 /pmc/articles/PMC7126432/ /pubmed/32287387 http://dx.doi.org/10.1016/j.jmaa.2019.03.030 Text en © 2019 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Bichara, Derdei Mahamat Global analysis of multi-host and multi-vector epidemic models |
title | Global analysis of multi-host and multi-vector epidemic models |
title_full | Global analysis of multi-host and multi-vector epidemic models |
title_fullStr | Global analysis of multi-host and multi-vector epidemic models |
title_full_unstemmed | Global analysis of multi-host and multi-vector epidemic models |
title_short | Global analysis of multi-host and multi-vector epidemic models |
title_sort | global analysis of multi-host and multi-vector epidemic models |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7126432/ https://www.ncbi.nlm.nih.gov/pubmed/32287387 http://dx.doi.org/10.1016/j.jmaa.2019.03.030 |
work_keys_str_mv | AT bicharaderdeimahamat globalanalysisofmultihostandmultivectorepidemicmodels |