Modeling Disease Spread Using an SEIR Model

Version 21.2.1 (85,9 ko) par 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.

Citation pour cette source

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. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2021b
Compatible avec les versions R2021b et ultérieures
Plateformes compatibles
Windows macOS Linux

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Version Publié le Notes de version
21.2.1

Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.
Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.