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Global stability of multi-group viral models with general incidence functions

  • Dejun Fan*
  • , Pengmiao Hao
  • , Dongyan Sun
  • *Corresponding author for this work
  • Harbin Institute of Technology Weihai

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, strongly connected and non-strongly connected multi-group viral models with time delays and general incidence functions are considered. Employing the Lyapunov functional method and a graph-theoretic approach, we show that the global dynamics of the strongly connected system are determined by the basic reproduction number under some reasonable conditions for incidence functions. In addition, we find a more complex and more interesting result for multi-group viral models with non-strongly connected networks because of the basic reproduction numbers corresponding to each strongly connected component. Finally, we provide simulations for non-strongly connected multi-group viral models to support our conclusion.

Original languageEnglish
Pages (from-to)1301-1326
Number of pages26
JournalJournal of Mathematical Biology
Volume76
Issue number5
DOIs
StatePublished - 1 Apr 2018
Externally publishedYes

Keywords

  • Global stability
  • Lyapunov functional
  • Multi-group viral model
  • Network connectivity

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