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Modeling and analysis of SIR epidemic dynamics in immunization and cross-infection environments: Insights from a stochastic model*

  • Shandong University of Science and Technology
  • King Abdulaziz University
  • Quaid-I-Azam University

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

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.

Original languageEnglish
Pages (from-to)740-765
Number of pages26
JournalNonlinear Analysis: Modelling and Control
Volume27
Issue number4
DOIs
StatePublished - 1 Jul 2022
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

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

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