Global stability for epidemic models on multiplex networks

Yu Jhe Huang, Juang Jonq*, Yu Hao Liang, Hsin Yu Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


In this work, we consider an epidemic model in a two-layer network in which the dynamics of susceptible–infected–susceptible process in the physical layer coexists with that of a cyclic process of unaware–aware–unaware in the virtual layer. For such multiplex network, we shall define the basic reproduction number R0V in the virtual layer, which is similar to the basic reproduction number R0P defined in the physical layer. We show analytically that if R0P≤1 and R0V≤1, then the disease and information free equilibrium is globally stable and if R0P≤1 and R0VCloseSPigtSPi1, then the disease free and information saturated equilibrium is globally stable for all initial conditions except at the origin. In the case of R0PCloseSPigtSPi1, whether the disease dies out or not depends on the competition between how well the information is transmitted in the virtual layer and how contagious the disease is in the physical layer. In particular, it is numerically demonstrated that if the difference in R0V and R0P is greater than the product of R0P, the deviation of R0V from 1 and the relative infection rate for an aware susceptible individual, then the disease dies out. Otherwise, the disease breaks out.

Original languageEnglish
Pages (from-to)1339-1356
Number of pages18
JournalJournal of Mathematical Biology
Issue number6
StatePublished - 1 May 2018


  • Awareness
  • Epidemic models
  • Global stability
  • Multiplex networks
  • The basic reproduction number

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