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Pattern mechanism in stochastic SIR networks with ER connectivity

  • Qianqian Zheng
  • , Jianwei Shen
  • , Yong Xu
  • , Vikas Pandey
  • , Linan Guan
  • Xuchang University
  • Northwestern Polytechnical University Xian
  • North China University of Water Resources and Electric Power
  • University of California at Los Angeles
  • National Institute of Natural Science

科研成果: 期刊稿件文章同行评审

15 引用 (Scopus)

摘要

The diffusion of the susceptible and infected is a vital factor in spreading infectious diseases. However, the previous SIR networks cannot explain the dynamical mechanism of periodic behavior and endemic diseases. Here, we incorporate the diffusion and network effect into the SIR model and describes the mechanism of periodic behavior and endemic diseases through wavenumber and saddle–node bifurcation. We also introduce the standard network structured entropy (NSE) and demonstrate diffusion effect could induce the saddle–node bifurcation and Turing instability. Then we reveal the mechanism of the periodic outbreak and endemic diseases by the mean-field method. We provide the Turing instability condition through wavenumber in this network-organized SIR model. In the end, the data from COVID-19 authenticated the theoretical results.

源语言英语
文章编号127765
期刊Physica A: Statistical Mechanics and its Applications
603
DOI
出版状态已出版 - 1 10月 2022

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 3 - 良好健康与福祉
    可持续发展目标 3 良好健康与福祉

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