Article ID Journal Published Year Pages File Type
5102994 Physica A: Statistical Mechanics and its Applications 2017 30 Pages PDF
Abstract
For the long term population behavior, demography is a very important factor impacting the disease spread. Infection age also helps us better understand the process of the disease transmission. In this paper, we incorporate these two factors in an SIR epidemic model on complex networks. Through mathematical analysis, the basic reproduction number R0 is shown to be a sharp threshold to determine whether or not the disease spreads. Precisely, if R0 is less than 1 then the disease-free equilibrium is globally asymptotically stable while if R0 is larger than 1 then the endemic equilibrium is globally asymptotically stable. Some simulations are carried out to illustrate the theoretical results.
Related Topics
Physical Sciences and Engineering Mathematics Mathematical Physics
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