Modeling and analysis of SIR epidemic dynamics in immunization and cross-infection environments: Insights from a stochastic model
Articles
Zhengbo Chang
Shandong University of Science and Technology
https://orcid.org/0000-0002-5747-9126
Xinzhu Meng
Shandong University of Science and Technology
https://orcid.org/0000-0002-6553-9686
Tasawar Hayat
Quaid-i-Azam University 45320
Aatef Hobiny
King Abdulaziz University
Published 2022-05-02
https://doi.org/10.15388/namc.2022.27.27446
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Keywords

stochastic SIR model
nonlinear incidence rates
disease cross-infection
persistence in mean
ergodic stationary distribution

How to Cite

Chang, Z. (2022) “Modeling and analysis of SIR epidemic dynamics in immunization and cross-infection environments: Insights from a stochastic model”, Nonlinear Analysis: Modelling and Control, 27(4), pp. 740–765. doi:10.15388/namc.2022.27.27446.

Abstract

We propose a stochastic SIR model with two different diseases cross-infection and immunization. The model incorporates the effects of stochasticity, cross-infection rate and immunization. By using stochastic analysis and Khasminski ergodicity theory, the existence and boundedness of the global positive solution about the epidemic model are firstly proved. Subsequently, we theoretically carry out the sufficient conditions of stochastic extinction and persistence of the diseases. Thirdly, the existence of ergodic stationary distribution is proved. The results reveal that white noise can affect the dynamics of the system significantly. Finally, the numerical simulation is made and consistent with the theoretical results.

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