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A stochastic HIV infection model with T-cell proliferation and CTL immune response

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

Research output: Contribution to journalArticlepeer-review

49 Scopus citations

Abstract

A stochastic HIV infection model with T-cell proliferation and CTL immune response is formulated to investigate the effect of environmental fluctuations on the HIV viral dynamics. We obtain that the model solution is positive and global, and analyze the extinction of the model. We also derive a critical condition R0s when R0s is greater than one, the existence of ergodic stationary distribution of the model solution is established by constructing suitable Lyapunov functions. Numerical simulations are performed to investigate the effect of white noises on model behavior, we investigate that the small intensities of white noise can maintain the irregular recurrence of HIV virus and CTL immune response, while the larger ones may be help to the elimination of the virus and CTL immune response, and the medium intensities of white noises may cause both the persistence and extinction on model dynamics behavior.

Original languageEnglish
Pages (from-to)477-493
Number of pages17
JournalApplied Mathematics and Computation
Volume315
DOIs
StatePublished - 15 Dec 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

  • CTL immune response
  • Extinction
  • HIV infection
  • Stationary distribution
  • Stochastic differential equation

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