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Epidemic spreading of an SEIRS model in scale-free networks

机译:SEIRS模型在无标度网络中的流行传播

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An SEIRS epidemic model on the scale-free networks is presented, where the active contact number of each vertex is assumed to be either constant or proportional to its degree for this model. Using the analytical method, we obtain the two threshold values for above two cases and find that the threshold value for constant contact is independent of the topology of the underlying networks. The existence of positive equilibrium is determined by threshold value. For a finite size of scale-free network, we prove the local stability of disease-free equilibrium and the permanence of the disease on the network. Furthermore, we investigate two major immunization strategies, random immunization and targeted immunization, some similar results are obtained. The simulation shows the positive equilibrium is stable.
机译:提出了无标度网络上的SEIRS流行病模型,其中每个顶点的活动接触数被假定为恒定或与该模型的程度成比例。使用分析方法,我们获得了以上两种情况的两个阈值,并发现恒定接触的阈值与基础网络的拓扑结构无关。正平衡的存在取决于阈值。对于有限规模的无标度网络,我们证明了无病平衡的局部稳定性以及疾病在网络上的持久性。此外,我们研究了两种主要的免疫策略,随机免疫和靶向免疫,获得了相似的结果。仿真表明正平衡是稳定的。

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