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Stationarity and periodicity of positive solutions to stochastic seir epidemic models with distributed delay

  • Qun Liu
  • , Daqing Jiang
  • , Ningzhong Shi
  • , Tasawar Hayat
  • , Ahmed Alsaedi
  • , Xiaoying Han
  • 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 journal › Article › peer-review

27 Scopus citations

Abstract

In this paper, we consider two SEIR epidemic models with distributed delay in random environments. First of all, by constructing a suitable stochastic Lyapunov function, we obtain the existence of stationarity of the positive solution to the stochastic autonomous system. Then we establish sufficient conditions for extinction of the disease. Finally, by using Khasminskii's theory of periodic solutions, we prove that the stochastic nonautonomous epidemic model admits at least one nontrivial positive T-periodic solution under a simple condition.

Original languageEnglish
Pages (from-to)2479-2500
Number of pages22
JournalDiscrete and Continuous Dynamical Systems - Series B
Volume22
Issue number6
DOIs
StatePublished - Aug 2017
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

  • Extinction
  • Lyapunov function
  • Periodic solution
  • Stationary solution
  • Stochastic SEIR epidemic model

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