Transmission Dynamics of an SIS Model with Age Structure on Heterogeneous Networks

Shanshan Chen, Michael Small, Yizhou Tao, Xinchu Fu

    Research output: Contribution to journalArticlepeer-review

    14 Citations (Scopus)
    134 Downloads (Pure)


    Infection age is often an important factor in epidemic dynamics. In order to realistically analyze the spreading mechanism and dynamical behavior of epidemic diseases, in this paper, a generalized disease transmission model of SIS type with age-dependent infection and birth and death on a heterogeneous network is discussed. The model allows the infection and recovery rates to vary and depend on the age of infection, the time since an individual becomes infected. We address uniform persistence and find that the model has the sharp threshold property, that is, for the basic reproduction number less than one, the disease-free equilibrium is globally asymptotically stable, while for the basic reproduction number is above one, a Lyapunov functional is used to show that the endemic equilibrium is globally stable. Finally, some numerical simulations are carried out to illustrate and complement the main results. The disease dynamics rely not only on the network structure, but also on an age-dependent factor (for some key functions concerned in the model).

    Original languageEnglish
    Pages (from-to)2049-2087
    Number of pages39
    JournalBulletin of Mathematical Biology
    Issue number8
    Publication statusPublished - 1 Aug 2018


    Dive into the research topics of 'Transmission Dynamics of an SIS Model with Age Structure on Heterogeneous Networks'. Together they form a unique fingerprint.

    Cite this