The Behavior of an SVIR Epidemic Model with Stochastic Perturbation

We discuss a stochastic SIR epidemic model with vaccination. We investigate the asymptotic behavior according to the perturbation and the reproduction number R0. We deduce the globally asymptotic stability of the disease-free equilibrium when R0≤ 1 and the perturbation is small, which means that the...

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Main Authors: Yanan Zhao, Daqing Jiang
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2014/742730
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author Yanan Zhao
Daqing Jiang
author_facet Yanan Zhao
Daqing Jiang
author_sort Yanan Zhao
collection DOAJ
description We discuss a stochastic SIR epidemic model with vaccination. We investigate the asymptotic behavior according to the perturbation and the reproduction number R0. We deduce the globally asymptotic stability of the disease-free equilibrium when R0≤ 1 and the perturbation is small, which means that the disease will die out. When R0>1, we derive that the disease will prevail, which is measured through the difference between the solution and the endemic equilibrium of the deterministic model in time average. The key to our analysis is choosing appropriate Lyapunov functions.
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institution Kabale University
issn 1085-3375
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publishDate 2014-01-01
publisher Wiley
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series Abstract and Applied Analysis
spelling doaj-art-a279d909fce045f3bedcc40e863ea66b2025-02-03T06:13:29ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/742730742730The Behavior of an SVIR Epidemic Model with Stochastic PerturbationYanan Zhao0Daqing Jiang1School of Mathematics and Statistics, Northeast Normal University, Changchun, Jilin 130024, ChinaSchool of Mathematics and Statistics, Northeast Normal University, Changchun, Jilin 130024, ChinaWe discuss a stochastic SIR epidemic model with vaccination. We investigate the asymptotic behavior according to the perturbation and the reproduction number R0. We deduce the globally asymptotic stability of the disease-free equilibrium when R0≤ 1 and the perturbation is small, which means that the disease will die out. When R0>1, we derive that the disease will prevail, which is measured through the difference between the solution and the endemic equilibrium of the deterministic model in time average. The key to our analysis is choosing appropriate Lyapunov functions.http://dx.doi.org/10.1155/2014/742730
spellingShingle Yanan Zhao
Daqing Jiang
The Behavior of an SVIR Epidemic Model with Stochastic Perturbation
Abstract and Applied Analysis
title The Behavior of an SVIR Epidemic Model with Stochastic Perturbation
title_full The Behavior of an SVIR Epidemic Model with Stochastic Perturbation
title_fullStr The Behavior of an SVIR Epidemic Model with Stochastic Perturbation
title_full_unstemmed The Behavior of an SVIR Epidemic Model with Stochastic Perturbation
title_short The Behavior of an SVIR Epidemic Model with Stochastic Perturbation
title_sort behavior of an svir epidemic model with stochastic perturbation
url http://dx.doi.org/10.1155/2014/742730
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