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Research Article | Open Access

Ergodic stationary distribution of stochastic virus mutation model with time delay

Juan Ma1Shaojuan Ma1,2( )Xinyu Bai1Jinhua Ran1
School of Mathematics and Information Science, North Minzu University, Yinchuan 750021, China
Ningxia Key Laboratory of Intelligent Information and Big Data Processing, Yinchuan 750021, China
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Abstract

The virus mutation can increase the complexity of the infectious disease. In this paper, the dynamical characteristics of the virus mutation model are discussed. First, we built a stochastic virus mutation model with time delay. Second, the existence and uniqueness of global positive solutions for the proposed model is proved. Third, based on the analysis of the ergodic stationary distribution for the model, we discuss the influence mechanism between the different factors. Finally, the numerical simulation verifies the theoretical results.

CLC number: 60H10, 92B05, 92D30

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AIMS Mathematics
Pages 21371-21392

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Cite this article:
Ma J, Ma S, Bai X, et al. Ergodic stationary distribution of stochastic virus mutation model with time delay. AIMS Mathematics, 2023, 8(9): 21371-21392. https://doi.org/10.3934/math.20231089

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Received: 02 May 2023
Revised: 14 June 2023
Accepted: 19 June 2023
Published: 15 September 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)