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Global stability of an SIR model with differential infectivity on complex networks

  • Xinpeng Yuan
  • , Fang Wang
  • , Yakui Xue*
  • , Maoxing Liu
  • *Corresponding author for this work
  • China Meteorological Administration
  • Department of Mathematics
  • North University of China

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper, an SIR model with birth and death on complex networks is analyzed, where infected individuals are divided into m groups according to their infection and contact between human is treated as a scale-free social network. We obtain the basic reproduction number R0 as well as the effects of various immunization schemes. The results indicate that the disease-free equilibrium is locally and globally asymptotically stable in some conditions, otherwise disease-free equilibrium is unstable and exists an unique endemic equilibrium that is globally asymptotically stable. Our theoretical results are confirmed by numerical simulations and a promising way for infectious diseases control is suggested.

Original languageEnglish
Pages (from-to)443-456
Number of pages14
JournalPhysica A: Statistical Mechanics and its Applications
Volume499
DOIs
Publication statusPublished - 1 Jun 2018

Keywords

  • Complex networks
  • Differential infectivity
  • Global stability
  • SIR model

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