Prédiction de l'évolution de l'épidémie Covid19 par un modèle SEIRD
Type : application
Organisation : Pôle Data Science @ CentraleSupélec
Thème : health
Mots-clés : bayesian-approach,covid19,sars-cov-2,seird-model,sir-model

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.