Epidemic Spreading Combined with Age and Region in Complex Networks

Xu Zhang, Yurong Song, Haiyan Wang, Guo Ping Jiang

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


In social networks, the age and the region of individuals are the two most important factors in modeling infectious diseases. In this paper, a spatial susceptible-infected-susceptible (SIS) model is proposed to describe epidemic spreading over a network with region and age by establishing several partial differential equations. Numerical simulations are performed, and the simulation of the proposed model agrees well with real influenza-like illness (ILI) in the USA reported by the Centers for Disease Control (CDC). Moreover, the proposed model can be used to predict the infected density of individuals. The results show that our model can be used as a tool to analyze influenza cases in the real world.

Original languageEnglish (US)
Article number6753798
JournalMathematical Problems in Engineering
StatePublished - 2020

ASJC Scopus subject areas

  • Mathematics(all)
  • Engineering(all)


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