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Game dynamic model of social distancing while cost of infection varies with epidemic burden

机译:游戏动态模型的社会疏远,而感染成本因流行性负担而异

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Social distancing during an infectious disease outbreak can play a major role in controlling the spread of the disease. Individuals interests in isolating themselves however, are constrained by the inherent costs in it. Rational decision making requires comparing the cost of social distancing with the cost of being infected such as availability of the vaccines, drugs, and treatment facilities that may depend on the current epidemic burden in the community. To understanding these, we develop a differential population game model of social distancing integrating with a simple SIR model describing the disease process. Using several type of cost functions of infections, we compute the Nash equilibrium strategies under variable efficiencies of social distancing. We also derive the closed form of the analytical solution of the utility functions under a special case. Depending on the efficiency of social distancing and the functional dependence of the cost of infections, we have shown that individuals behave very rationally to isolate themselves. This information may be useful in designing the public health policies during an epidemic outbreak.
机译:在传染病爆发期间的社会偏移可以在控制疾病的传播方面发挥重要作用。然而,个人在隔离本身的利益受到其固有成本的限制。理性决策需要比较社会偏差成本与感染的成本,例如可能取决于社区目前的流行负担的疫苗,药物和治疗设施的可用性。为了理解这些,我们开发了一种与描述疾病过程的简单SIR模型的社会疏远差异的差异人口游戏模型。利用多种类型的感染性能,我们根据社会疏散的可变效率计算了纳什均衡策略。我们还在特殊情况下得出了实用程序功能的分析解决方案的封闭形式。根据社会疏散的效率和感染成本的功能依赖性,我们表明个人表现得非常合理地隔离自己。这些信息可用于在流行病爆发期间设计公共卫生政策。

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