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Communication Dans Un Congrès Année : 2020

On interval prediction of COVID-19 development in France based on a SEIR epidemic model

Résumé

This paper aims to identify the parameters of an original modified SEIR model for the COVID-19 epidemic's course in France by using publicly available data and applying such an identified model for the prediction of the SARS-CoV-2 virus propagation under different conditions of confinement. For this purpose, an interval predictor is designed, allowing variations and uncertainties in the model parameters to be taken into account.
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Dates et versions

hal-02965038 , version 1 (12-10-2020)

Identifiants

  • HAL Id : hal-02965038 , version 1

Citer

Denis Efimov, Rosane Ushirobira. On interval prediction of COVID-19 development in France based on a SEIR epidemic model. CDC 2020 - 59th IEEE Conference on Decision and Control, Dec 2020, Jeju Island / Virtual, South Korea. ⟨hal-02965038⟩
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