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Periodic solution for a stochastic nonautonomous SIR epidemic model with logistic growth

  • Qun Liu
  • , Daqing Jiang
  • , Ningzhong Shi
  • , Tasawar Hayat
  • , Ahmed Alsaedi
  • 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

22 Scopus citations

Abstract

In this paper, we analyze the dynamics of a stochastic nonautonomous SIR epidemic model, in which population growth is subject to logistic growth in absence of disease. For the periodic system, we present sufficient conditions for persistence of the epidemic and in the case of persistence, by constructing some suitable Lyapunov functions, we show that there is at least one nontrivial positive periodic solution. One of the most important findings is that random perturbations may be beneficial to formate the periodic solution to the stochastic nonautonomous SIR epidemic model.

Original languageEnglish
Pages (from-to)816-826
Number of pages11
JournalPhysica A: Statistical Mechanics and its Applications
Volume462
DOIs
StatePublished - 15 Nov 2016
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
  • Periodic solution
  • Persistence
  • Stochastic SIR epidemic model

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