Dynamics of a Stochastic Multigroup SEIR Epidemic Model

To be more precise about the real world activity, a stochastic multigroup SEIR epidemic model is formulated. we define the basic reproduction number R0S and show that it is a sharp threshold for the dynamics of SDE model. If R0S<1, the disease-free equilibrium is asymptotically stable; and if R0S...

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Main Authors: Xiaojing Zhong, Feiqi Deng
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/258915
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author Xiaojing Zhong
Feiqi Deng
author_facet Xiaojing Zhong
Feiqi Deng
author_sort Xiaojing Zhong
collection DOAJ
description To be more precise about the real world activity, a stochastic multigroup SEIR epidemic model is formulated. we define the basic reproduction number R0S and show that it is a sharp threshold for the dynamics of SDE model. If R0S<1, the disease-free equilibrium is asymptotically stable; and if R0S>1, the disease persists and there exists a globally asymptotically stable stationary distribution. Numerical simulation examples are carried out to substantiate the analytical results.
format Article
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institution Kabale University
issn 1110-757X
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publishDate 2014-01-01
publisher Wiley
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series Journal of Applied Mathematics
spelling doaj-art-83d2b77e340b47ddb2004304c634dbde2025-02-03T00:59:32ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/258915258915Dynamics of a Stochastic Multigroup SEIR Epidemic ModelXiaojing Zhong0Feiqi Deng1College of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, ChinaCollege of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, ChinaTo be more precise about the real world activity, a stochastic multigroup SEIR epidemic model is formulated. we define the basic reproduction number R0S and show that it is a sharp threshold for the dynamics of SDE model. If R0S<1, the disease-free equilibrium is asymptotically stable; and if R0S>1, the disease persists and there exists a globally asymptotically stable stationary distribution. Numerical simulation examples are carried out to substantiate the analytical results.http://dx.doi.org/10.1155/2014/258915
spellingShingle Xiaojing Zhong
Feiqi Deng
Dynamics of a Stochastic Multigroup SEIR Epidemic Model
Journal of Applied Mathematics
title Dynamics of a Stochastic Multigroup SEIR Epidemic Model
title_full Dynamics of a Stochastic Multigroup SEIR Epidemic Model
title_fullStr Dynamics of a Stochastic Multigroup SEIR Epidemic Model
title_full_unstemmed Dynamics of a Stochastic Multigroup SEIR Epidemic Model
title_short Dynamics of a Stochastic Multigroup SEIR Epidemic Model
title_sort dynamics of a stochastic multigroup seir epidemic model
url http://dx.doi.org/10.1155/2014/258915
work_keys_str_mv AT xiaojingzhong dynamicsofastochasticmultigroupseirepidemicmodel
AT feiqideng dynamicsofastochasticmultigroupseirepidemicmodel