Control of COVID-19 outbreak using an extended SEIR model

被引:17
|
作者
McQuade, Sean T. [1 ,2 ]
Weightman, Ryan [1 ,2 ]
Merrill, Nathaniel J. [3 ]
Yadav, Aayush [4 ,5 ]
Trelat, Emmanuel [6 ]
Allred, Sarah R. [4 ,5 ]
Piccoli, Benedetto [1 ,2 ]
机构
[1] Rutgers Univ Camden, Dept Math Sci, Camden, NJ 08102 USA
[2] Rutgers Univ Camden, Ctr Computat & Integrat Biol, Camden, NJ 08102 USA
[3] Pacific Northwest Natl Lab PNNL, Richland, WA 99354 USA
[4] Rutgers Univ Camden, Dept Psychol, Camden, NJ 08102 USA
[5] Rutgers Univ Camden, Senator Walter Rand Inst Publ Affairs, Camden, NJ 08102 USA
[6] Sorbonne Univ, Lab Jacques Louis Lions, F-75005 Paris, France
来源
关键词
COVID-19; SARS-CoV-2; SEIR compartmental models; non-pharmaceutical intervention; optimal control; data-fitting; New Jersey; EPIDEMIC; DYNAMICS;
D O I
10.1142/S0218202521500512
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The outbreak of COVID-19 resulted in high death tolls all over the world. The aim of this paper is to show how a simple SEIR model was used to make quick predictions for New Jersey in early March 2020 and call for action based on data from China and Italy. A more refined model, which accounts for social distancing, testing, contact tracing and quarantining, is then proposed to identify containment measures to minimize the economic cost of the pandemic. The latter is obtained taking into account all the involved costs including reduced economic activities due to lockdown and quarantining as well as the cost for hospitalization and deaths. The proposed model allows one to find optimal strategies as combinations of implementing various non-pharmaceutical interventions and study different scenarios and likely initial conditions.
引用
收藏
页码:2399 / 2424
页数:26
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