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Impact of network structure on spread of competing diseases

机译:网络结构对竞争性疾病传播的影响

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Understanding the nature and behavior of the spread of diseases amongst individuals in a social network requires consideration of the network's structure and the effects of these structures on the disease outbreaks. One of the most basic parameters for network structures is the degrees of nodes and their distribution. Depending on the type of degree distribution (Poisson, power-law, exponential, etc.), various types of network structures are formed with varying disease outbreaks. Behavior of two competing diseases on a contact network of individuals is most affected by this parameter of degree distribution. In this article, the spreading process of two competing diseases and their impact on each other is presented using numerical simulations and analytical results on various network structures by MATLAB software. For each disease to be transferred from a person to another, it needs to have transmissibility greater than a threshold, which is called the epidemic threshold. Obtained results and patterns from the analysis are helpful for the intermediation in the case of two competing diseases and can help eliminate their outbreaks.
机译:了解社交网络中个体之间疾病传播的性质和行为需要考虑网络的结构以及这些结构对疾病暴发的影响。网络结构的最基本参数之一是节点的程度及其分布。根据程度分布的类型(泊松,幂律,指数等),会形成各种类型的网络结构,并伴随着不同的疾病暴发。个体接触网络上两种竞争性疾病的行为受程度分布的此参数影响最大。在本文中,利用MATLAB软件对各种网络结构的数值模拟和分析结果,介绍了两种相互竞争的疾病的传播过程及其相互影响。对于要从​​一个人转移到另一个疾病的每种疾病,它需要具有大于阈值(称为流行阈值)的可传播性。从分析中获得的结果和模式有助于在两种竞争性疾病之间进行中介,并有助于消除它们的爆发。

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