Association Journal of CSIAM
Supervised by Ministry of Education of PRC
Sponsored by Xi'an Jiaotong University
ISSN 1005-3085  CN 61-1269/O1

Chinese Journal of Engineering Mathematics ›› 2024, Vol. 41 ›› Issue (1): 145-163.doi: 10.3969/j.issn.1005-3085.2024.01.009

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Dynamical Analysis of Stochastic SIRS Double Epidemic Model with Logistic Growth and Crowley-Martin Incidence Rate

ZHAO Yanjun1,  SU Li1,  SUN Xiaohui1,  LI Wenxuan2   

  1. 1. International Business School, Jilin International Studies University, Changchun 130117;
    2. College of Mathematics, Jilin University, Changchun 130012
  • Received:2022-01-17 Accepted:2022-12-29 Online:2024-02-15 Published:2024-04-15
  • Supported by:
    The National Natural Science Foundation of China (11271154); the Science and Technology Research Project of Education Department of Jilin Province (JJKH20231389KJ); the Education Science the Fourteenth Five-Year plan Project of Jilin Province for 2022 (GH22708).

Abstract:

Based on the fact that many diseases coexist in real life and are affected by environmental noise, a stochastic SIRS double epidemic model with Logistic growth and Crowley-Martin type incidence is established to discuss the effects of Logistic growth, Crowley-Martin type incidence and double epidemic infectious diseases on the global dynamics of the model. It is obtained that the global dynamics of the model is determined by stochastic basic reproduction number. Firstly, by constructing the Lyapunov function and using the Ito's formula, the existence and uniqueness of the global positive solution are proved, and then, by combining the stochastic basic reproduction number and the constructed Lyapunov function, the sufficient conditions for determining the extinction and persistence of the disease are obtained by using the LaSalle invariance principle. The results show that the environmental change can inhibit the disease under certain conditions. Finally, the correctness of the theoretical results is verified by numerical simulation.

Key words: Logistic growth, Crowley-Martin incidence rate, double epidemic, extinction, permanence

CLC Number: