Modeling Disease Spread Using an SEIR Model

This is a simple SEIR (Susceptible-Exposed-Infectious-Recovered) model of disease spread, implemented in MATLAB®.
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更新时间 2022/2/7

Modeling Disease Spread Using an SEIR Model

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This is a simple SEIR model of disease spread, implemented in MATLAB®. This approach is widely used to analyze infection data during the different stages of an epidemic outbreak. The population is divided into Susceptible (S), Exposed (E), Infectious (I), and Recovered (R) individuals.

This Live Script provides a basic SEIR model overview and an example of how you might get some graphical results using MATLAB.

The model equations in the Live Script that make up the SEIR model are based on this article.

plot

Product Requirement : MATLAB (Tested with R2021b)

This Live Script was created for the 2022 M3 Challenge Live Chat.

Copyright 2022 The MathWorks, Inc.

引用格式

MathWorks Student Competitions Team (2024). Modeling Disease Spread Using an SEIR Model (https://github.com/mathworks/modeling-disease-spread-using-an-SEIR-model/releases/tag/21.2.1), GitHub. 检索来源 .

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创建方式 R2021b
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21.2.1

要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库
要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库