Analysis of a stochastic SEIuIrR epidemic model incorporating the Ornstein-Uhlenbeck process

Mhammed Mediani, Abdeldjalil Slama, Ahmed Boudaoui, Thabet Abdeljawad*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This article aims to analyze a stochastic epidemic model SEIuIrR (Susceptible-exposed-undetected infected-detected infected (reported -recovered) assuming that the transmission rate at which people undetected become detected is perturbed by the Ornstein–Uhlenbeck process. Our first objective is to prove that the stochastic model has a unique positive global solution by constructing a nonnegative Lyapunov function. Afterward, we provide a sufficient criterion to prove the existence of an ergodic stationary distribution of the mode by constructing a suitable series of Lyapunov functions. Subsequently, we establish sufficient conditions for the extinction of the disease. Finally, a series of numerical simulations are carried out to illustrate the theoretical results.

Original languageEnglish
Article numbere35749
JournalHeliyon
Volume10
Issue number16
DOIs
Publication statusPublished - 30 Aug 2024
Externally publishedYes

Keywords

  • Disease extinction
  • Ornstein–Uhlenbeck process
  • Stationary distributions
  • Stochastic epidemic model

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