Abstract There is an interplay between the spread of infectious disease and the behaviour of individuals that can be modelled through a series of interconnected dynamical feedback blocks. Specifically, the outbreak of an infectious disease can trigger behavioural responses, at the group and individual levels, which in turn influences the epidemic evolution. Daily life interactions can be modelled through adaptive co-evolutionary networks whose nodes represent the interconnected individuals. In this paper we introduce an individual-based model where the behaviour of each agent is determined by both external stimuli and perception of its environment. It is built as a combination of three interacting blocks that model the fundamental aspects of an epidemic: i) individual behaviour, ii) social behaviour and iii) health state.

中文翻译：

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具有个体行为的动态社会网络的流感流行模型

摘要 传染病传播与个人行为之间存在相互作用，可以通过一系列相互关联的动态反馈块进行建模。具体而言，传染病的爆发可以引发群体和个人层面的行为反应，进而影响流行病的演变。日常生活互动可以通过自适应协同进化网络建模，其节点代表相互关联的个体。在本文中，我们介绍了一个基于个体的模型，其中每个代理的行为由外部刺激和对其环境的感知决定。它由三个相互作用的模块组成，对流行病的基本方面进行建模：i) 个人行为，ii) 社会行为和 iii) 健康状态。