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A stochastic differential equation SIS epidemic model with two correlated Brownian motions

  • Siyang Cai
  • , Yongmei Cai*
  • , Xuerong Mao
  • *Corresponding author for this work

Research output: Journal PublicationArticlepeer-review

23 Citations (Scopus)

Abstract

In this paper, we introduce two perturbations in the classical deterministic susceptible-infected-susceptible epidemic model with two correlated Brownian motions. We consider two perturbations in the deterministic SIS model and formulate the original model as a stochastic differential equation with two correlated Brownian motions for the number of infected population, based on the previous work from Gray et al. (SIAM J Appl Math 71(3):876–902, 2011) and Hening and Nguyen (J Math Biol 77:135–163, 2017. https://doi.org/10.1007/s00285-017-1192-8). Conditions for the solution to become extinction and persistence are then stated, followed by computer simulation to illustrate the results.

Original languageEnglish
Pages (from-to)2175-2187
Number of pages13
JournalNonlinear Dynamics
Volume97
Issue number4
DOIs
Publication statusPublished - 1 Sept 2019
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

Free Keywords

  • Correlated Brownian motions
  • Extinction
  • Persistence
  • Stationary distribution

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Aerospace Engineering
  • Ocean Engineering
  • Mechanical Engineering
  • Applied Mathematics
  • Electrical and Electronic Engineering

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