Modeling Disease Spread Using an SEIR Model

Versione 21.2.1 (85,9 KB) da MathWorks Student Competitions Team
This is a simple SEIR (Susceptible-Exposed-Infectious-Recovered) model of disease spread, implemented in MATLAB®.
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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.

Cita come

MathWorks Student Competitions Team (2025). Modeling Disease Spread Using an SEIR Model (https://github.com/mathworks/modeling-disease-spread-using-an-SEIR-model/releases/tag/21.2.1), GitHub. Recuperato .

Compatibilità della release di MATLAB
Creato con R2021b
Compatibile con R2021b e release successive
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Versione Pubblicato Note della release
21.2.1

Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.
Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.