社会容忍度下SIR模型的动态调整:感染率的实际度量

Gerardo L. Febres
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引用次数: 1

摘要

COVID-19大流行在全球范围内影响了影响疾病传染性的社会模式的行为。这种影响偏离了经典SIR模型,无法再现大多数国家的COVID-19数据。本研究在SIR模型中加入了一个非常数许可函数。对得到的模型进行计算求解,得到一个可能的许可时间函数。为了解决调整后的模型,采用了一种基于比例积分控制器的技术。将所得模型与以往人工迭代调整方法得到的结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Adjustment of SIR Model with the Social Permissiveness: An Actual Measure of the Infection Rate
The COVID-19 pandemic has globally impacted the behavior of the social patterns affecting the disease’s contagiousness. This effect deviates the classical SIR model from reproducing the data of COVID-19 in most countries. This study incorporates a non-constant permissiveness function to the SIR model. The resulting model is computationally solved to obtain a likely permissiveness time-function. To solve the adjusted model, a technique based on a proportional-integral controller is applied. The resulting models are compared with previous results obtained by a manual iterative adjusting method.
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