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Two Delayed SEIRS Epidemic Model in Networks

机译:网络中的两个延迟塞维尔赛疫情模型

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Two delayed SEIRS epidemic model with the differences of connected network nodes is founded in spreading of networks. In this paper, we analyzed the spreading behavior of this model and obtained a important parameter R, also obtained conclusions that the disease-free equilibrium is globally asymptotically stable if and only if~(R≤/), on the other hand, endemic disease will be reached finally if ~(R≥1/~θ). Also, numerical simulation is given to validate our theorems and show how to control the epidemic disease.The simulation results show that it is necessary to consider the topological nature of networks.
机译:两个延迟的SEIRS流行病模型与连接网络节点的差异建立在网络的扩展中。在本文中,我们分析了该模型的扩散行为,并获得了重要的参数R,还获得了无疾病平衡是全局渐近稳定的结论,如果〜(R≤ / )另一方面,如果〜(r≥1/ ~θ),最终将达到地方病。此外,给出了数值模拟来验证我们的定理,并展示如何控制疫情。仿真结果表明,有必要考虑网络的拓扑性质。

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