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