A quantitative framework for exploring exit strategies from the COVID-19 lockdown

被引:16
|
作者
Fokas, A. S. [1 ,2 ]
Cuevas-Maraver, J. [3 ,4 ]
Kevrekidis, P. G. [5 ,6 ]
机构
[1] Univ Cambridge, Dept Appl Math & Theoret Phys, Wilberforce Rd, Cambridge CB3 0WA, England
[2] Univ Southern Calif, Dept Civil & Environm Engn, Los Angeles, CA 90089 USA
[3] Univ Seville, Escuela Politecn Super, Dept Fis Aplicada 1, Grp Fis Lineal, C Virgen de Africa 7, Seville 41011, Spain
[4] Univ Sevilla IMUS, Inst Matemat, Edificio Celestino Mutis Avda Reina Mercedes S-N, Seville 41012, Spain
[5] Univ Massachusetts, Dept Math & Stat, Amherst, MA 01003 USA
[6] Univ Oxford, Math Inst, Oxford, England
基金
美国国家科学基金会; 英国工程与自然科学研究理事会;
关键词
COVID-19; Modeling; Ordinary differential equations; Cumulative death modeling; Parameter estimation and optimization; Lockdown exit strategies; MODEL;
D O I
10.1016/j.chaos.2020.110244
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Following the highly restrictive measures adopted by many countries for combating the current pandemic, the number of individuals infected by SARS-CoV-2 and the associated number of deaths steadily decreased. This fact, together with the impossibility of maintaining the lockdown indefinitely, raises the crucial question of whether it is possible to design an exit strategy based on quantitative analysis. Guided by rigorous mathematical results, we show that this is indeed possible: we present a robust numerical algorithm which can compute the cumulative number of deaths that will occur as a result of increasing the number of contacts by a given multiple, using as input only the most reliable of all data available during the lockdown, namely the cumulative number of deaths. (c) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:10
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