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Prédiction de l'évolution de l'épidémie Covid19 par un modèle SEIRD

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Description

This project aims at modeling the propagation of the SARS-Cov-2 using a SEIRD model and a Bayesian approach.

We use a SEIR(D) model to predict the propagation of the SARS-CoV-2 virus. The effect of the lockdown is taken into account.

Our idea was to estimate the parameters of the model using data from ECDC and a Bayesian approach. For France, we also use data from Santé publique France.

Pôle Data Science @ CentraleSupélec

Topic

Health

Type

Application

Tags

  • bayesian-approach

  • covid19

  • sars-cov-2

  • seird-model

  • sir-model

Creation date

April 5, 2020

Last update

April 30, 2024

1 used dataset

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649

18 in May 2024

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0

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