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Infectious diseases spreading on a metapopulation network coupled with its second-neighbor network

机译:传播对元的传染性疾病与其第二邻网络耦合的

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Traditional infectious diseases models on metapopulation networks focus on direct transportations (e.g., direct flights), ignoring the effect of indirect transportations. Based on global aviation network, we turn the problem of indirect flights into a question of second neighbors, and propose a susceptible-infectious-susceptible model to study disease transmission on a connected metapopulation network coupled with its second-neighbor network (SNN). We calculate the basic reproduction number, which is independent of human mobility, and we prove the global stability of disease-free and endemic equilibria of the model. Furthermore, the study shows that the behavior that all travelers travel along the SNN may hinder the spread of disease if the SNN is not connected. However, the behavior that individuals travel along the metapopulation network coupled with its SNN contributes to the spread of disease. Thus for an emerging infectious disease, if the real network and its SNN keep the same connectivity, indirect transportations may be a potential threat and need to be controlled. Our work can be generalized to high-speed train and rail networks, which may further promote other research on metapopulation networks. (C) 2019 Published by Elsevier Inc.
机译:传统的传染性疾病在Metapulation网络上专注于直接运输(例如,直飞航班),无视间接运输的影响。基于全球航空网络,我们将间接航班的问题转变为第二邻居问题,并提出了一种易感传染性易感模型,以研究与其第二邻网络(SNN)耦合的连接的计算网络上的疾病传输。我们计算与人类流动无关的基本再现数,我们证明了该模型的无病和流行均衡的全球稳定性。此外,该研究表明,如果SNN未连接,所有旅行者沿着SNN旅行的行为可能会阻碍疾病的传播。然而,个人沿着与其SNN耦合的比例网络行进的行为有助于疾病的传播。因此,对于新出现的传染病,如果真实网络及其SNN保持相同的连接性,间接传输可能是潜在的威胁并且需要控制。我们的工作可以推广到高速列车和铁路网络,这可能进一步促进对数量网络的其他研究。 (c)2019由elsevier公司出版

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