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The Evolutionary Dynamics of Stochastic Epidemic Model with Nonlinear Incidence Rate

A stochastic SIRS epidemic model with nonlinear incidence rate and varying population size is formulated to investigate the effect of stochastic environmental variability on inter-pandemic transmission dynamics of influenza A. Sufficient conditions for extinction and persistence of the disease are e...

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Detalles Bibliográficos
Autores principales: Li, Dan, Cui, Jing’an, Liu, Meng, Liu, Shengqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088780/
https://www.ncbi.nlm.nih.gov/pubmed/26369670
http://dx.doi.org/10.1007/s11538-015-0101-9
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author Li, Dan
Cui, Jing’an
Liu, Meng
Liu, Shengqiang
author_facet Li, Dan
Cui, Jing’an
Liu, Meng
Liu, Shengqiang
author_sort Li, Dan
collection PubMed
description A stochastic SIRS epidemic model with nonlinear incidence rate and varying population size is formulated to investigate the effect of stochastic environmental variability on inter-pandemic transmission dynamics of influenza A. Sufficient conditions for extinction and persistence of the disease are established. In the case of persistence, the existence of endemic stationary distribution is proved and the distance between stochastic solutions and the endemic equilibrium of the corresponding deterministic system in the time mean sense is estimated. Based on realistic parameters of influenza A in humans, numerical simulations have been performed to verify/extend our analytical results. It is found that: (i) the deterministic threshold of the influenza A extinction [Formula: see text] may exist and the threshold parameter will be overestimated in case of neglecting the impaction of environmental noises; (ii) the presence of environmental noises is capable of supporting the irregular recurrence of influenza epidemic, and the average level of the number of infected individuals I(t) always decreases with the increase in noise intensity; and (iii) if [Formula: see text] , the volatility of I(t) increases with the increase of noise intensity, while the volatility of I(t) decreases with the increase in noise intensity if [Formula: see text] .
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spelling pubmed-70887802020-03-23 The Evolutionary Dynamics of Stochastic Epidemic Model with Nonlinear Incidence Rate Li, Dan Cui, Jing’an Liu, Meng Liu, Shengqiang Bull Math Biol Original Article A stochastic SIRS epidemic model with nonlinear incidence rate and varying population size is formulated to investigate the effect of stochastic environmental variability on inter-pandemic transmission dynamics of influenza A. Sufficient conditions for extinction and persistence of the disease are established. In the case of persistence, the existence of endemic stationary distribution is proved and the distance between stochastic solutions and the endemic equilibrium of the corresponding deterministic system in the time mean sense is estimated. Based on realistic parameters of influenza A in humans, numerical simulations have been performed to verify/extend our analytical results. It is found that: (i) the deterministic threshold of the influenza A extinction [Formula: see text] may exist and the threshold parameter will be overestimated in case of neglecting the impaction of environmental noises; (ii) the presence of environmental noises is capable of supporting the irregular recurrence of influenza epidemic, and the average level of the number of infected individuals I(t) always decreases with the increase in noise intensity; and (iii) if [Formula: see text] , the volatility of I(t) increases with the increase of noise intensity, while the volatility of I(t) decreases with the increase in noise intensity if [Formula: see text] . Springer US 2015-09-14 2015 /pmc/articles/PMC7088780/ /pubmed/26369670 http://dx.doi.org/10.1007/s11538-015-0101-9 Text en © Society for Mathematical Biology 2015 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Article
Li, Dan
Cui, Jing’an
Liu, Meng
Liu, Shengqiang
The Evolutionary Dynamics of Stochastic Epidemic Model with Nonlinear Incidence Rate
title The Evolutionary Dynamics of Stochastic Epidemic Model with Nonlinear Incidence Rate
title_full The Evolutionary Dynamics of Stochastic Epidemic Model with Nonlinear Incidence Rate
title_fullStr The Evolutionary Dynamics of Stochastic Epidemic Model with Nonlinear Incidence Rate
title_full_unstemmed The Evolutionary Dynamics of Stochastic Epidemic Model with Nonlinear Incidence Rate
title_short The Evolutionary Dynamics of Stochastic Epidemic Model with Nonlinear Incidence Rate
title_sort evolutionary dynamics of stochastic epidemic model with nonlinear incidence rate
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088780/
https://www.ncbi.nlm.nih.gov/pubmed/26369670
http://dx.doi.org/10.1007/s11538-015-0101-9
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