Dynamics of a time-delay differential model for tumour-immune interactions with random noise

F. A. Rihan, H. J. Alsakaji, S. Kundu, O. Mohamed

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

This paper examines the dynamics of a time-delay differential model of the tumour immune system with random noise. The model describes the interactions between healthy tissue cells, tumour cells, and activated immune system cells. We discuss stability and Hopf bifurcation of the deterministic system. We then explore stochastic stability, and the dynamics of the system in view of environmental fluctuations. Criteria for persistence and sustainability are discussed. Using multiple Lyapunov functions, some sufficient criteria for tumour cell persistence and extinction are obtained. Under certain circumstances, stochastic noise can suppress tumour cell growth completely. In contrast to the deterministic model which shows no stable tumour-free state, the white noise can either lead to tumour dormancy or tumour elimination. Some numerical simulations, by using Milstein's scheme, are carried out to show the effectiveness of the obtained results.

Original languageEnglish
Pages (from-to)11913-11923
Number of pages11
JournalAlexandria Engineering Journal
Volume61
Issue number12
DOIs
Publication statusPublished - Dec 2022

Keywords

  • Michaelis–Menten form
  • Stability
  • Stochastic perturbations
  • Time-delay
  • Tumour-immune system

ASJC Scopus subject areas

  • General Engineering

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