Threshold dynamics of a stochastic general SIRS epidemic model with migration

In this study, a stochastic SIRS epidemic model that features constant immigration and general incidence rate is investigated. Our findings show that the dynamical behaviors of the stochastic system can be predicted using the stochastic threshold $ R_0^S $. If $ R_0^S < 1 $, the disease will...

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Main Authors: Zhongwei Cao, Jian Zhang, Huishuang Su, Li Zu
Format: Article
Language:English
Published: AIMS Press 2023-04-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023497?viewType=HTML
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author Zhongwei Cao
Jian Zhang
Huishuang Su
Li Zu
author_facet Zhongwei Cao
Jian Zhang
Huishuang Su
Li Zu
author_sort Zhongwei Cao
collection DOAJ
description In this study, a stochastic SIRS epidemic model that features constant immigration and general incidence rate is investigated. Our findings show that the dynamical behaviors of the stochastic system can be predicted using the stochastic threshold $ R_0^S $. If $ R_0^S < 1 $, the disease will become extinct with certainty, given additional conditions. Conversely, if $ R_0^S > 1 $, the disease has the potential to persist. Moreover, the necessary conditions for the existence of the stationary distribution of positive solution in the event of disease persistence is determined. Our theoretical findings are validated through numerical simulations.
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spelling doaj.art-c976bf0298464716b52e4dfc4292100f2023-05-23T01:23:10ZengAIMS PressMathematical Biosciences and Engineering1551-00182023-04-01206112121123710.3934/mbe.2023497Threshold dynamics of a stochastic general SIRS epidemic model with migrationZhongwei Cao0Jian Zhang 1Huishuang Su2Li Zu 31. Logistics Industry Economy and Intelligent Logistics Laboratory, Jilin University of Finance and Economics, Changchun 130117, China2. Department of Basic Teaching and Research, Changchun Finance College, Changchun 130028, China3. Yatai School of Business Management, Jilin University of Finance and Economics, Changchun 130117, China4. College of Mathematics and Statistics, Hainan Normal University, Haikou 571158, ChinaIn this study, a stochastic SIRS epidemic model that features constant immigration and general incidence rate is investigated. Our findings show that the dynamical behaviors of the stochastic system can be predicted using the stochastic threshold $ R_0^S $. If $ R_0^S < 1 $, the disease will become extinct with certainty, given additional conditions. Conversely, if $ R_0^S > 1 $, the disease has the potential to persist. Moreover, the necessary conditions for the existence of the stationary distribution of positive solution in the event of disease persistence is determined. Our theoretical findings are validated through numerical simulations.https://www.aimspress.com/article/doi/10.3934/mbe.2023497?viewType=HTMLimmigrationgeneral incidence ratesirs epidemic modelthreshold dynamicsergodicity
spellingShingle Zhongwei Cao
Jian Zhang
Huishuang Su
Li Zu
Threshold dynamics of a stochastic general SIRS epidemic model with migration
Mathematical Biosciences and Engineering
immigration
general incidence rate
sirs epidemic model
threshold dynamics
ergodicity
title Threshold dynamics of a stochastic general SIRS epidemic model with migration
title_full Threshold dynamics of a stochastic general SIRS epidemic model with migration
title_fullStr Threshold dynamics of a stochastic general SIRS epidemic model with migration
title_full_unstemmed Threshold dynamics of a stochastic general SIRS epidemic model with migration
title_short Threshold dynamics of a stochastic general SIRS epidemic model with migration
title_sort threshold dynamics of a stochastic general sirs epidemic model with migration
topic immigration
general incidence rate
sirs epidemic model
threshold dynamics
ergodicity
url https://www.aimspress.com/article/doi/10.3934/mbe.2023497?viewType=HTML
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AT huishuangsu thresholddynamicsofastochasticgeneralsirsepidemicmodelwithmigration
AT lizu thresholddynamicsofastochasticgeneralsirsepidemicmodelwithmigration