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Dynamic behavior of a stochastic SIRS model with two viruses

  • Jiandong Zhao ORCID logo EMAIL logo , Tonghua Zhang and Zhixia Han
Published/Copyright: November 10, 2020

Abstract

To study the effect of environmental noise on the spread of the disease, a stochastic Susceptible, Infective, Removed and Susceptible (SIRS) model with two viruses is introduced in this paper. Sufficient conditions for global existence of positive solution and stochastically asymptotic stability of disease-free equilibrium in the model are given. Then, it is shown that the positive solution is stochastically ultimately bounded and the moment average in time of the positive solution is bounded. Our results mean that the environmental noise suppresses the growth rate of the individuals and drives the disease to extinction under certain conditions. Finally, numerical simulations are given to illustrate our main results.

MSC (2000): 92D30; 34F05; 60H10

Corresponding author: Jiandong Zhao, School of Mathematics and Statistics Science, Ludong University, Yantai, Shandong 264025, P.R.China, E-mail:

Funding source: Department of Education and Training

Award Identifier / Grant number: 5395-2016

Funding source: Ludong University

Funding source: National Statistics Bureau of China

Award Identifier / Grant number: 2020LY016

Acknowledgments

The first author would like to thank Department of Mathematics at Swinburne University of Technology and Department of Mathematics and Statistics at Memorial University of Newfoundland for kindly hosting during his visiting.

  1. Article note: Supported by Endeavor Research Fellowship (5395-2016) (Granted by Department of Education and Training, Australian Government), National Statistical Science Research Project of China (2020LY016) and the Visiting Scholar Program of Ludong University.

  2. Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  3. Research funding: Supported by Endeavor Research Fellowship (5395-2016) (Granted by Department of Education and Training, Australian Government), National Statistical Science Research Project of China (2020LY016) and the Visiting Scholar Program of Ludong University.

  4. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Received: 2019-08-17
Accepted: 2020-09-25
Published Online: 2020-11-10
Published in Print: 2021-12-20

© 2020 Walter de Gruyter GmbH, Berlin/Boston

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