Stochastic dynamics of SIRS epidemic models withrandom perturbation

In this paper, we consider a stochastic SIRS model with parameterperturbation, which is a standard technique in modeling populationdynamics. In our model, the disease transmission coefficient and theremoval rates are all affected by noise. We show that the stochasticmodel has a unique positive solut...

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Main Authors: Qingshan Yang, Xuerong Mao
Format: Article
Language:English
Published: AIMS Press 2014-02-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2014.11.1003
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author Qingshan Yang
Xuerong Mao
author_facet Qingshan Yang
Xuerong Mao
author_sort Qingshan Yang
collection DOAJ
description In this paper, we consider a stochastic SIRS model with parameterperturbation, which is a standard technique in modeling populationdynamics. In our model, the disease transmission coefficient and theremoval rates are all affected by noise. We show that the stochasticmodel has a unique positive solution as is essential in anypopulation model. Then we establish conditions for extinction orpersistence of the infectious disease. When the infective part isforced to expire, the susceptible part converges weakly to aninverse-gamma distribution with explicit shape and scale parameters.In case of persistence, by new stochastic Lyapunov functions, weshow the ergodic property and positive recurrence of the stochasticmodel. We also derive the an estimate for the mean of the stationarydistribution. The analytical results are all verified by computersimulations, including examples based on experiments in laboratorypopulations of mice.
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institution Kabale University
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record_format Article
series Mathematical Biosciences and Engineering
spelling doaj-art-79acd437c55a4c84ac7618945ece65b02025-01-24T02:28:19ZengAIMS PressMathematical Biosciences and Engineering1551-00182014-02-011141003102510.3934/mbe.2014.11.1003Stochastic dynamics of SIRS epidemic models withrandom perturbationQingshan Yang0Xuerong Mao1School of Mathematics and Statistics, Northeast Normal University, Changchun, Jilin, 130024Department of Mathematics and Statistics, University of Strathclyde, Glasgow G1 1XHIn this paper, we consider a stochastic SIRS model with parameterperturbation, which is a standard technique in modeling populationdynamics. In our model, the disease transmission coefficient and theremoval rates are all affected by noise. We show that the stochasticmodel has a unique positive solution as is essential in anypopulation model. Then we establish conditions for extinction orpersistence of the infectious disease. When the infective part isforced to expire, the susceptible part converges weakly to aninverse-gamma distribution with explicit shape and scale parameters.In case of persistence, by new stochastic Lyapunov functions, weshow the ergodic property and positive recurrence of the stochasticmodel. We also derive the an estimate for the mean of the stationarydistribution. The analytical results are all verified by computersimulations, including examples based on experiments in laboratorypopulations of mice.https://www.aimspress.com/article/doi/10.3934/mbe.2014.11.1003extinctionergodic propertypositive recurrence.
spellingShingle Qingshan Yang
Xuerong Mao
Stochastic dynamics of SIRS epidemic models withrandom perturbation
Mathematical Biosciences and Engineering
extinction
ergodic property
positive recurrence.
title Stochastic dynamics of SIRS epidemic models withrandom perturbation
title_full Stochastic dynamics of SIRS epidemic models withrandom perturbation
title_fullStr Stochastic dynamics of SIRS epidemic models withrandom perturbation
title_full_unstemmed Stochastic dynamics of SIRS epidemic models withrandom perturbation
title_short Stochastic dynamics of SIRS epidemic models withrandom perturbation
title_sort stochastic dynamics of sirs epidemic models withrandom perturbation
topic extinction
ergodic property
positive recurrence.
url https://www.aimspress.com/article/doi/10.3934/mbe.2014.11.1003
work_keys_str_mv AT qingshanyang stochasticdynamicsofsirsepidemicmodelswithrandomperturbation
AT xuerongmao stochasticdynamicsofsirsepidemicmodelswithrandomperturbation