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Longtime characterization for the general stochastic epidemic SIS model under regime-switching

  • Quang Trung University
  • Duy Tan University

Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review

13 Citations (Scopus)

Abstract

The aim of this paper is to study the stochastic SIS epidemic model with general incidence functional response under regime-switching. We derive a sufficient and almost necessary condition for the extinction and permanence of the epidemic system. Moreover, the rate of all convergences of the solution are also established. Our work generalizes and improves many existing results. Precisely, we obtain sharper results for a more general model by introducing a novel technique, which can be used systematically for other systems. Moreover, it is also shown, interestingly, that switching can make extinction become persistence but it can also reverse persistence to extinction. A number of numerical examples are given to illustrate our results. (C) 2020 Elsevier Ltd. All rights reserved.
Original languageEnglish (Ireland)
Article number100951
JournalNonlinear Analysis-Hybrid Systems
Volume38
DOIs
Publication statusPublished - 1 Nov 2020

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

  • Epidemic model
  • Ergodicity
  • Invariant measure
  • Switching diffusion

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