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On a Discrete-Time Networked Epidemic Model With Time-Varying Heterogeneous Delays

  • Fangzhou Liu
  • , Lei Shi
  • , Jinliang Shao
  • , Qingchen Liu*
  • *Corresponding author for this work
  • School of Astronautics, Harbin Institute of Technology
  • Henan University
  • University of Electronic Science and Technology of China
  • University of Science and Technology of China

Research output: Contribution to journalArticlepeer-review

Abstract

Delays caused by the incubation period of an infectious disease are inevitable in modeling the spreading of a real epidemic. With this in mind, our note proposes a novel discrete-time networked susceptible-infected-susceptible (SIS) epidemic model with delays. In this model, the independent edge-based time delay in the network is time-varying and heterogeneous. To prove the asymptotic stability of the model, a super-stochastic matrix based method is proposed to analyze the convergence of an infinite product. By using this method, a sufficient algebraic condition for the convergence of the model to the disease-free equilibrium point is established. The theoretical results obtained are verified by numerical simulations.

Original languageEnglish
Pages (from-to)2289-2294
Number of pages6
JournalIEEE Control Systems Letters
Volume8
DOIs
StatePublished - 2024
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

Keywords

  • Networked epidemics
  • discrete-time dynamics
  • time-varying heterogeneous delays

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