Simulink Methods to Simulate COVID-19 Outbreak Using Fractional Order Models

Srilekha R, Parthiban V
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Abstract

The objective of this work is to solve a coronavirus transmission model using simulink, a platform for model based design that facilitates simulation and design at the system level. The simulation is divided into two sections: the first, deals with setting up the parameters, and the second deals with computing the fractional derivatives. The fundamental SIR, SEIR, SEIQR, and SEIARM models were used in this study. An effective, quick, easy, and visually appealing method is used to simulate pandemic outbreaks. To accurately follow the progress of the infection, we contrast the simulation findings with those acquired by MATLAB code. The applications can be used for research projects and also as a teaching tool.
使用分数阶模型模拟 COVID-19 爆发的 Simulink 方法
这项工作的目的是利用 simulink 解决冠状病毒传播模型问题。simulink 是一个基于模型的设计平台,有助于在系统层面进行模拟和设计。仿真分为两部分:第一部分是设置参数,第二部分是计算分数导数。本研究使用了基本的 SIR、SEIR、SEIQR 和 SEIARM 模型。本研究采用了一种有效、快速、简便、直观的方法来模拟大流行病的爆发。为了准确跟踪感染的进展情况,我们将模拟结果与 MATLAB 代码获得的结果进行了对比。这些应用可用于研究项目,也可作为教学工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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