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Dynamics of a stochastic HIV-1 infection model with logistic growth

  • Daqing Jiang
  • , Qun Liu
  • , Ningzhong Shi
  • , Tasawar Hayat
  • , Ahmed Alsaedi
  • , Peiyan Xia
  • Northeast Normal University
  • Faculty of Sciences, King Abdulaziz University
  • China University of Petroleum (East China)
  • Yulin Normal University
  • Quaid-I-Azam University

Research output: Contribution to journalArticlepeer-review

42 Scopus citations

Abstract

This paper is concerned with a stochastic HIV-1 infection model with logistic growth. Firstly, by constructing suitable stochastic Lyapunov functions, we establish sufficient conditions for the existence of ergodic stationary distribution of the solution to the HIV-1 infection model. Then we obtain sufficient conditions for extinction of the infection. The stationary distribution shows that the infection can become persistent in vivo.

Original languageEnglish
Pages (from-to)706-717
Number of pages12
JournalPhysica A: Statistical Mechanics and its Applications
Volume469
DOIs
StatePublished - 1 Mar 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
  • Stationary distribution
  • Stochastic HIV-1 infection model

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