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The local stability of a modified multi-strain SIR model for emerging viral strains

We study a novel multi-strain SIR epidemic model with selective immunity by vaccination. A newer strain is made to emerge in the population when a preexisting strain has reached equilbrium. We assume that this newer strain does not exhibit cross-immunity with the original strain, hence those who are...

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Detalles Bibliográficos
Autores principales: Fudolig, Miguel, Howard, Reka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7725381/
https://www.ncbi.nlm.nih.gov/pubmed/33296417
http://dx.doi.org/10.1371/journal.pone.0243408
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author Fudolig, Miguel
Howard, Reka
author_facet Fudolig, Miguel
Howard, Reka
author_sort Fudolig, Miguel
collection PubMed
description We study a novel multi-strain SIR epidemic model with selective immunity by vaccination. A newer strain is made to emerge in the population when a preexisting strain has reached equilbrium. We assume that this newer strain does not exhibit cross-immunity with the original strain, hence those who are vaccinated and recovered from the original strain become susceptible to the newer strain. Recent events involving the COVID-19 virus shows that it is possible for a viral strain to emerge from a population at a time when the influenza virus, a well-known virus with a vaccine readily available, is active in a population. We solved for four different equilibrium points and investigated the conditions for existence and local stability. The reproduction number was also determined for the epidemiological model and found to be consistent with the local stability condition for the disease-free equilibrium.
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spelling pubmed-77253812020-12-16 The local stability of a modified multi-strain SIR model for emerging viral strains Fudolig, Miguel Howard, Reka PLoS One Research Article We study a novel multi-strain SIR epidemic model with selective immunity by vaccination. A newer strain is made to emerge in the population when a preexisting strain has reached equilbrium. We assume that this newer strain does not exhibit cross-immunity with the original strain, hence those who are vaccinated and recovered from the original strain become susceptible to the newer strain. Recent events involving the COVID-19 virus shows that it is possible for a viral strain to emerge from a population at a time when the influenza virus, a well-known virus with a vaccine readily available, is active in a population. We solved for four different equilibrium points and investigated the conditions for existence and local stability. The reproduction number was also determined for the epidemiological model and found to be consistent with the local stability condition for the disease-free equilibrium. Public Library of Science 2020-12-09 /pmc/articles/PMC7725381/ /pubmed/33296417 http://dx.doi.org/10.1371/journal.pone.0243408 Text en © 2020 Fudolig, Howard http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Fudolig, Miguel
Howard, Reka
The local stability of a modified multi-strain SIR model for emerging viral strains
title The local stability of a modified multi-strain SIR model for emerging viral strains
title_full The local stability of a modified multi-strain SIR model for emerging viral strains
title_fullStr The local stability of a modified multi-strain SIR model for emerging viral strains
title_full_unstemmed The local stability of a modified multi-strain SIR model for emerging viral strains
title_short The local stability of a modified multi-strain SIR model for emerging viral strains
title_sort local stability of a modified multi-strain sir model for emerging viral strains
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7725381/
https://www.ncbi.nlm.nih.gov/pubmed/33296417
http://dx.doi.org/10.1371/journal.pone.0243408
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