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

被引：0
作者：
Efimov, Denis [1 ]
Ushirobira, Rosane [1 ]
机构：
[1] Univ Lille, INRIA, CNRS UMR 9189, CRIStAL, F-59000 Lille, France
来源：
2020 59TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC) | 2020年
关键词：
OBSERVERS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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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页码：3883 / 3888
页数：6
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