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Analysis of an influenza A (H1N1) epidemic model with vaccination

A nonlinear mathematical model for the spread of influenza A (H1N1) infectious diseases including the role of vaccination is proposed and analyzed. It is assumed that the susceptibles become infected by direct contact with infectives and exposed population. We take under consideration that only a su...

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Detalles Bibliográficos
Autores principales: Zhou, Xueyong, Guo, Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7149170/
http://dx.doi.org/10.1007/s40065-012-0013-6
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author Zhou, Xueyong
Guo, Zhen
author_facet Zhou, Xueyong
Guo, Zhen
author_sort Zhou, Xueyong
collection PubMed
description A nonlinear mathematical model for the spread of influenza A (H1N1) infectious diseases including the role of vaccination is proposed and analyzed. It is assumed that the susceptibles become infected by direct contact with infectives and exposed population. We take under consideration that only a susceptible person can be vaccinated and that the vaccine is not 100% efficient. The model is analyzed using stability theory of differential equations and numerical simulation. We have found a threshold condition, in terms of vaccination reproduction number [Formula: see text] which is, if less than one, the disease dies out provided the vaccine efficacy is high enough, and otherwise the infection is maintained in the population. It is also shown that the spread of an infectious disease increases as the infective rate increases.
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spelling pubmed-71491702020-04-13 Analysis of an influenza A (H1N1) epidemic model with vaccination Zhou, Xueyong Guo, Zhen Arabian Journal of Mathematics Research Article A nonlinear mathematical model for the spread of influenza A (H1N1) infectious diseases including the role of vaccination is proposed and analyzed. It is assumed that the susceptibles become infected by direct contact with infectives and exposed population. We take under consideration that only a susceptible person can be vaccinated and that the vaccine is not 100% efficient. The model is analyzed using stability theory of differential equations and numerical simulation. We have found a threshold condition, in terms of vaccination reproduction number [Formula: see text] which is, if less than one, the disease dies out provided the vaccine efficacy is high enough, and otherwise the infection is maintained in the population. It is also shown that the spread of an infectious disease increases as the infective rate increases. Springer Berlin Heidelberg 2012-04-19 2012 /pmc/articles/PMC7149170/ http://dx.doi.org/10.1007/s40065-012-0013-6 Text en © The Author(s) 2012 This article is published under license to BioMed Central Ltd. Open Acces This article is distributed under the terms of the Creative Commons Attribution License which permits any use,distribution, and reproduction in any medium, provided the original author(s) and the source are credited. Open AccessThis article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhou, Xueyong
Guo, Zhen
Analysis of an influenza A (H1N1) epidemic model with vaccination
title Analysis of an influenza A (H1N1) epidemic model with vaccination
title_full Analysis of an influenza A (H1N1) epidemic model with vaccination
title_fullStr Analysis of an influenza A (H1N1) epidemic model with vaccination
title_full_unstemmed Analysis of an influenza A (H1N1) epidemic model with vaccination
title_short Analysis of an influenza A (H1N1) epidemic model with vaccination
title_sort analysis of an influenza a (h1n1) epidemic model with vaccination
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7149170/
http://dx.doi.org/10.1007/s40065-012-0013-6
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