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.
引用
收藏
页码：3883 / 3888
页数：6
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