Stochastic Dynamics Analysis of Epidemic Models Considering Negative Feedback of Information

In this article, we mainly consider the dynamic analysis of a stochastic infectious disease model with negative feedback, a symmetric and compatible distribution family. Based on the sir epidemic model taking into account the isolation (y) and the death (v), we consider adding a new variable (w) to...

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Main Authors: Wanqin Wu, Wenhui Luo, Hui Chen, Yun Zhao
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/15/9/1781
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author Wanqin Wu
Wenhui Luo
Hui Chen
Yun Zhao
author_facet Wanqin Wu
Wenhui Luo
Hui Chen
Yun Zhao
author_sort Wanqin Wu
collection DOAJ
description In this article, we mainly consider the dynamic analysis of a stochastic infectious disease model with negative feedback, a symmetric and compatible distribution family. Based on the sir epidemic model taking into account the isolation (y) and the death (v), we consider adding a new variable (w) to control the information of non-drug interventions, which measures transformations in isolation performance that determine the epidemic, and establish a new model. We have demonstrated various properties of the model solution using Lyapunov functions for this model. To begin with, we demonstrate the existence and uniqueness of the global positive solution. After that, we obtained the conditions that need to be met for the extinction of the disease and verified the correctness of the conclusion by simulating numerical values. Afterwards, we prove the stochastic boundedness and stationary distribution of the model solution.
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spelling doaj.art-791f1a83efbd4864b5326f201d2605fd2023-11-19T13:12:35ZengMDPI AGSymmetry2073-89942023-09-01159178110.3390/sym15091781Stochastic Dynamics Analysis of Epidemic Models Considering Negative Feedback of InformationWanqin Wu0Wenhui Luo1Hui Chen2Yun Zhao3Department of Mathematics, Yunnan Minzu University, 2929, Yuehua Street, Chenggong District, Kunming 650500, ChinaDepartment of Mathematics, Yunnan Minzu University, 2929, Yuehua Street, Chenggong District, Kunming 650500, ChinaDepartment of Mathematics, Yunnan Minzu University, 2929, Yuehua Street, Chenggong District, Kunming 650500, ChinaDepartment of Mathematics, Yunnan Minzu University, 2929, Yuehua Street, Chenggong District, Kunming 650500, ChinaIn this article, we mainly consider the dynamic analysis of a stochastic infectious disease model with negative feedback, a symmetric and compatible distribution family. Based on the sir epidemic model taking into account the isolation (y) and the death (v), we consider adding a new variable (w) to control the information of non-drug interventions, which measures transformations in isolation performance that determine the epidemic, and establish a new model. We have demonstrated various properties of the model solution using Lyapunov functions for this model. To begin with, we demonstrate the existence and uniqueness of the global positive solution. After that, we obtained the conditions that need to be met for the extinction of the disease and verified the correctness of the conclusion by simulating numerical values. Afterwards, we prove the stochastic boundedness and stationary distribution of the model solution.https://www.mdpi.com/2073-8994/15/9/1781epidemic modelnegative feedbackextinctionrandom boundednessstationary distribution
spellingShingle Wanqin Wu
Wenhui Luo
Hui Chen
Yun Zhao
Stochastic Dynamics Analysis of Epidemic Models Considering Negative Feedback of Information
Symmetry
epidemic model
negative feedback
extinction
random boundedness
stationary distribution
title Stochastic Dynamics Analysis of Epidemic Models Considering Negative Feedback of Information
title_full Stochastic Dynamics Analysis of Epidemic Models Considering Negative Feedback of Information
title_fullStr Stochastic Dynamics Analysis of Epidemic Models Considering Negative Feedback of Information
title_full_unstemmed Stochastic Dynamics Analysis of Epidemic Models Considering Negative Feedback of Information
title_short Stochastic Dynamics Analysis of Epidemic Models Considering Negative Feedback of Information
title_sort stochastic dynamics analysis of epidemic models considering negative feedback of information
topic epidemic model
negative feedback
extinction
random boundedness
stationary distribution
url https://www.mdpi.com/2073-8994/15/9/1781
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AT huichen stochasticdynamicsanalysisofepidemicmodelsconsideringnegativefeedbackofinformation
AT yunzhao stochasticdynamicsanalysisofepidemicmodelsconsideringnegativefeedbackofinformation