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On agent-based approach to influenza and acute respiratory virus infection simulation

机译:论基于药物的流感和急性呼吸病毒感染模拟方法

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The paper analyzes existing approaches of mathematical modeling of morbidity spreading by the example of the dynamics of influenza and ARVI. The analysis showed that the most perspective approach is an agent-based. Agent-based model with SEIR type which takes into account behavior, age groups, as well as special features of the influenza and ARVI has been developed. Software implementation of model allows forecasting the morbidity, as well as calculating the epidemic threshold has been realized using C# programming language. The relevance of the model has been tested on real statistics.
机译:本文分析了流感流感和芳龙动力学的例子的发病率的现有方法。分析表明,最透视的方法是基于代理的。已经开发出基于代理的模型,其考虑到行为,年龄组以及流感和ARVI的特殊特征。模型的软件实现允许预测发病率,并使用C#编程语言实现了计算疫情阈值。该模型的相关性已经在真实统计数据上进行了测试。

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