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Bifurcation Analysis and Optimal Control of an SEIR Model with Limited Medical Resources and Media Impact on Heterogeneous Networks

  • Northwestern Polytechnical University Xian
  • Xi'an Institute of Posts and Telecommunications

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

The spread of epidemic diseases is often considered to be bound up with human behavior. Both treatment and awareness-raising are seen as important preventive measures during an outbreak. In this paper, an SEIR model on heterogeneous network containing saturated treatment function with media information variable is constructed. Through mathematical analysis, the basic reproduction number and equilibriums of the system are derived. The global stability of disease-free equilibrium is further proved based on LaSalle's invariant principle. It is also found that with a gradual increase of the delayed treatment parameter, the system exhibits a transition from forward bifurcation to backward bifurcation with the variation of the basic reproduction number. Finally, an optimal control problem is formulated with both treatment rate and media information dissemination rate as control variables and solved using the Pontryagin's maximum principle. All the above results are verified by numerical experiments.

Original languageEnglish
Article number2450159
JournalInternational Journal of Bifurcation and Chaos
Volume34
Issue number13
DOIs
StatePublished - 1 Oct 2024

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

  • Bifurcation analysis
  • human behavior
  • optimal control
  • SEIR network model

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