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 |
| 卷 | 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:
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可持续发展目标 3 良好健康与福祉
指纹
探究 'Pattern mechanism in stochastic SIR networks with ER connectivity' 的科研主题。它们共同构成独一无二的指纹。引用此
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