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Modular Network Effects on Communicable Disease Models

机译:模块化网络对传染病模型的影响

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Communicable disease models have been studied using classical mathematical differential equations for a long time now. However, these classical models do not always accurately represent the complex network behavior that governs the spread of any type of information, including communicable diseases. The paper presents a new modular network representation and shows how diseases generally spread in such a network. This paper also shows different simulation results, while looking at various observation parameters such as infection duration and number of modules. This paper then analyzes the 2009 H1N1 data for the Indian metropolitan cities of Delhi and Mumbai and states of Karnataka and Tamil Nadu in India and then discusses the correlation between the real-world data and the modular network results obtained through our simulations.
机译:长期以来,已经使用经典的数学微分方程研究了传染病模型。但是,这些经典模型并不总是准确地表示控制任何类型信息(包括传染病)传播的复杂网络行为。本文提出了一种新的模块化网络表示形式,并展示了疾病通常在这种网络中如何传播。本文还展示了不同的模拟结果,同时考察了各种观察参数,例如感染持续时间和模块数量。然后,本文分析了印度大城市德里和孟买以及印度卡纳塔克邦和泰米尔纳德邦的2009 H1N1数据,然后讨论了真实数据与通过我们的模拟获得的模块化网络结果之间的相关性。

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