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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Actualizado 7 Feb 2022

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Modeling Disease Spread Using an SEIR Model

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.

Citar como

MathWorks Student Competitions Team (2023). Modeling Disease Spread Using an SEIR Model (https://github.com/mathworks/modeling-disease-spread-using-an-SEIR-model/releases/tag/21.2.1), GitHub. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2021b
Compatible con cualquier versión desde R2021b
Compatibilidad con las plataformas
Windows macOS Linux
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Versión Publicado Notas de la versión
21.2.1

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.