Partial unlock caseload management for COVID-19 can save 1-2 million lives worldwide

Robert L. Shuler, Theodore Koukouvitis
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引用次数: 1

Abstract

This paper analyzes the stability and usefulness of a human-in-the-loop caseload management method for COVID-19. This can control the balance between medical resource utilization and economic shutdown duration across significant scenario variation. It reduce the total cases by controlling the rate of spreading as groups cross the herd immunity threshold, and suggests late intervention has more effect on total cases than early intervention once containment has failed. Data as of April 11, 2020 show that flattening strategy for COVID-19 in both the world and the U.S. is working so well that a significantly effective removal of social distancing (aka unlock) at any time in the next few years, other than after widespread and effective vaccination, will produce a rebound overloading the healthcare system. For the world, by early April flattening was working so well that a world rebound could be projected in 2021 that would exceed in critical demand even the additional million or so ventilators requested by world governments. In the U.S., whose trajectory is somewhat ahead of the world, the projected rebound of a late year unlock is already greater than the current crisis projected peak. Most citizens are tacitly expecting much sooner rather than much later unlocks. Leaving economies locked down for a long time is its own catastrophe, especially for countries that cannot provide substantial economic aid to their citizens. An SIR-type model was used with clear parameters suitable for public information, and both tracking and predictive capabilities, and an additional simulation of a decision-maker on selected-day partial unlock designed mainly to manage ventilator or other critical resource utilization, to make sure they are neither idle nor over committed. Using certain days of the week, already practiced by some countries, is not a necessary part of the method, but was used in the simulation to give a highly quantified unlock scheme. It also helps restore economic activity. While the model shows total cumulative cases, and therefore deaths, declining initially with flattening, when flattening begins to produce large rebounds the death rate goes back up. Partial unlock to manage critical resources brings the cumulative cases down about 8-12% between now and the second half of 2021, and therefore saves lives with some degree of certainty.
针对COVID-19的部分解锁病例管理可以在全球挽救100万至200万人的生命
本文分析了COVID-19“人在环”病例负荷管理方法的稳定性和实用性。这可以在重大情景变化中控制医疗资源利用率和经济停机时间之间的平衡。它通过控制群体越过群体免疫阈值时的传播速度来减少总病例,并表明一旦控制失败,晚期干预比早期干预对总病例的影响更大。截至2020年4月11日的数据显示,全球和美国的COVID-19扁平化战略效果非常好,以至于在未来几年的任何时候,除了广泛有效的疫苗接种之外,显著有效地消除社交距离(又名解锁)将导致医疗保健系统超载。就全球而言,到4月初,全球市场的趋平效果非常好,预计2021年全球市场将出现反弹,甚至超过世界各国政府要求的额外100万台呼吸机的关键需求。在美国,其经济轨迹在某种程度上走在了全球的前面,预计年底经济复苏的幅度已经超过了当前危机预计的峰值。大多数公民都心照不接地期待着更快而不是更晚的解锁。让经济长期处于封闭状态本身就是一场灾难,尤其是对那些无法向其公民提供大量经济援助的国家而言。使用sir型模型,具有适合公共信息的明确参数,具有跟踪和预测功能,并对决策者在选定日期部分解锁进行了额外模拟,主要用于管理呼吸机或其他关键资源的利用率,以确保它们既不闲置也不过度使用。一些国家已经在使用一周中的特定天数,这并不是该方法的必要部分,但在模拟中用于提供高度量化的解锁方案。它还有助于恢复经济活动。虽然该模型显示了总累积病例,因此死亡人数,最初随着扁平化而下降,但当扁平化开始产生大规模反弹时,死亡率又上升了。部分解锁以管理关键资源,从现在到2021年下半年,累计病例数将减少约8-12%,从而在一定程度上挽救生命。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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