Window of Opportunity for Mitigation to Prevent Overflow of ICU capacity in Chicago by COVID-19

Author:

Maslov SergeiORCID,Goldenfeld NigelORCID

Abstract

Executive SummaryWe estimate the growth in demand for ICU beds in Chicago during the emerging COVID-19 epidemic, using state-of-the-art computer simulations calibrated for the SARS-CoV-2 virus. The questions we address are these:Will the ICU capacity in Chicago be exceeded, and if so by how much?Can strong mitigation strategies, such as lockdown or shelter in place order, prevent the overflow of capacity?When should such strategies be implemented?Our answers are as follows:The ICU capacity may be exceeded by a large amount, probably by a factor of ten.Strong mitigation can avert this emergency situation potentially, but even that will not work if implemented too late.If the strong mitigation precedes April 1st, then the growth of COVID-19 can be controlled and the ICU capacity could be adequate. The earlier the strong mitigation is implemented, the greater the probability that it will be successful. After around April 1 2020, any strong mitigation will not avert the emergency situation. In Italy, the lockdown occurred too late and the number of deaths is still doubling every 2.3 days. It is difficult to be sure about the precise dates for this window of opportunity, due to the inherent uncertainties in computer simulation. But there is high confidence in the main conclusion that it exists and will soon be closed.Our conclusion is that, being fully cognizant of the societal trade-offs, there is a rapidly closing window of opportunity to avert a worst-case scenario in Chicago, but only with strong mitigation/lockdown implemented in the next week at the latest. If this window is missed, the epidemic will get worse and then strong mitigation/lockdown will be required after all, but it will be too late.

Publisher

Cold Spring Harbor Laboratory

Reference11 articles.

1. Ivan Aksamentov, N.N. , Richard Neher . COVID 19 Scenario Simulator. 2020; Available from: https://neherlab.org/covid19/about.

2. Stochastic epidemic dynamics on extremely heterogeneous networks;Physical Review E,2016

3. When individual behaviour matters: homogeneous and network models in epidemiology;Journal of the Royal Society Interface,2007

4. Small world and scale free model of transmission of SARS;International Journal of Bifurcation and Chaos,2005

5. Epidemic processes in complex networks

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3