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Stationary distribution and extinction of a stochastic SIRI epidemic model with relapse

  • Northeast Normal University
  • Yulin Normal University
  • Faculty of Sciences, King Abdulaziz University
  • China University of Petroleum (East China)
  • Quaid-I-Azam University

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

In this paper, we study the dynamics of a stochastic Susceptible-Infective-Removed-Infective (SIRI) epidemic model with relapse. By constructing a suitable stochastic Lyapunov function, we establish sufficient conditions for the existence of an ergodic stationary distribution to the model. Moreover, sufficient conditions for extinction of the disease are also obtained.

Original languageEnglish
Pages (from-to)138-151
Number of pages14
JournalStochastic Analysis and Applications
Volume36
Issue number1
DOIs
StatePublished - 2 Jan 2018
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

  • Lyapunov function
  • Stochastic SIRI epidemic model
  • extinction
  • stationary distribution and ergodicity

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