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The Impact of Community Structure of Social Contact Network on Epidemic Outbreak and Effectiveness of Non-pharmaceutical Interventions

机译:社会联系网络的社区结构对流行病爆发和非药物干预有效性的影响

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The topology structure of social contacts network has a big impact on dynamic patterns of epidemic spreading and effectiveness of non-pharmaceutical interventions. Corresponding to individuals' behavioral or functional units, people are commonly organized in small communities, meaning that most of social contacts networks tend to display community structure property. Through empirical investigation and Monte-Carlo simulation on a big H1N1 outbreak in a Chinese university campus, this paper explores the impact of community structure property of social contacts network on epidemic spreading and effectiveness of interventions. A stochastic model based on social contacts networks among students is constructed to simulate this outbreak, revealing that epidemic outbreaks commonly occur in local community. Moreover, effectiveness of three quarantine-based interventions is quantitatively studied by our proposed model, finding that community structure of social networks determines the effects these measures.
机译:社会联系网络的拓扑结构对流行病传播的动态模式和非药物干预措施的有效性有很大影响。对应于个人的行为或功能单位,人们通常组织在较小的社区中,这意味着大多数社交联系网络都倾向于显示社区结构属性。通过实证研究和蒙特卡洛模拟对一个中国大学校园中的一个大型H1N1暴发进行了研究,探讨了社会交往网络的社区结构性质对流行病传播和干预措施有效性的影响。建立了一个基于学生之间社交网络的随机模型来模拟这种暴发,这表明流行病暴发通常发生在当地社区。此外,我们提出的模型对三种基于隔离的干预措施的有效性进行了定量研究,发现社交网络的社区结构决定了这些措施的效果。

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