Dynamics of a Multigroup SIR Epidemic Model with Nonlinear Incidence and Stochastic Perturbation

We introduce stochasticity into a multigroup SIR model with nonlinear incidence. We prove that when the intensity of white noise is small, the solution of stochastic system converges weakly to a singular measure (i.e., a distribution) if ℛ0≤1 and there exists an invariant distribution which is ergod...

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Main Authors: Yuguo Lin, Daqing Jiang
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2013/917389
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author Yuguo Lin
Daqing Jiang
author_facet Yuguo Lin
Daqing Jiang
author_sort Yuguo Lin
collection DOAJ
description We introduce stochasticity into a multigroup SIR model with nonlinear incidence. We prove that when the intensity of white noise is small, the solution of stochastic system converges weakly to a singular measure (i.e., a distribution) if ℛ0≤1 and there exists an invariant distribution which is ergodic if ℛ0>1. This is the same situation as the corresponding deterministic case. When the intensity of white noise is large, white noise controls this system. This means that the disease will extinct exponentially regardless of the magnitude of ℛ0.
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publishDate 2013-01-01
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series Abstract and Applied Analysis
spelling doaj-art-e14d2fcd2f5f429db449ad812ea37ee42025-08-20T02:21:01ZengWileyAbstract and Applied Analysis1085-33751687-04092013-01-01201310.1155/2013/917389917389Dynamics of a Multigroup SIR Epidemic Model with Nonlinear Incidence and Stochastic PerturbationYuguo Lin0Daqing Jiang1School of Mathematics and Statistics, Northeast Normal University, Changchun, Jilin 130024, ChinaSchool of Mathematics and Statistics, Northeast Normal University, Changchun, Jilin 130024, ChinaWe introduce stochasticity into a multigroup SIR model with nonlinear incidence. We prove that when the intensity of white noise is small, the solution of stochastic system converges weakly to a singular measure (i.e., a distribution) if ℛ0≤1 and there exists an invariant distribution which is ergodic if ℛ0>1. This is the same situation as the corresponding deterministic case. When the intensity of white noise is large, white noise controls this system. This means that the disease will extinct exponentially regardless of the magnitude of ℛ0.http://dx.doi.org/10.1155/2013/917389
spellingShingle Yuguo Lin
Daqing Jiang
Dynamics of a Multigroup SIR Epidemic Model with Nonlinear Incidence and Stochastic Perturbation
Abstract and Applied Analysis
title Dynamics of a Multigroup SIR Epidemic Model with Nonlinear Incidence and Stochastic Perturbation
title_full Dynamics of a Multigroup SIR Epidemic Model with Nonlinear Incidence and Stochastic Perturbation
title_fullStr Dynamics of a Multigroup SIR Epidemic Model with Nonlinear Incidence and Stochastic Perturbation
title_full_unstemmed Dynamics of a Multigroup SIR Epidemic Model with Nonlinear Incidence and Stochastic Perturbation
title_short Dynamics of a Multigroup SIR Epidemic Model with Nonlinear Incidence and Stochastic Perturbation
title_sort dynamics of a multigroup sir epidemic model with nonlinear incidence and stochastic perturbation
url http://dx.doi.org/10.1155/2013/917389
work_keys_str_mv AT yuguolin dynamicsofamultigroupsirepidemicmodelwithnonlinearincidenceandstochasticperturbation
AT daqingjiang dynamicsofamultigroupsirepidemicmodelwithnonlinearincidenceandstochasticperturbation