数据驱动,动态和灵活的方法来安全解除口罩的任务:一项建议。

Cynthia Chen, Shiqian Shen
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引用次数: 0

摘要

新泽西州、纽约州、加利福尼亚州、康涅狄格州、特拉华州和俄勒冈州的州长在2月7日那周早些时候宣布,他们所在州的部分口罩强制令将在两到六周内结束。这些州总共有7790万美国人,约占美国人口的23.5%,因此这些政策变化可能对美国经济以及每个州的教育和医疗体系产生重大影响。随着COVID-19病例、住院和死亡人数的减少,应重新评估口罩的规定。我们建议,采用数据驱动、动态和灵活的方法可能有助于安全地解除口罩授权,并促进向大流行后正常状态的平稳过渡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Data-driven, Dynamic and Flexible Approach to Safely Lifting Mask Mandate: A Proposal.

A Data-driven, Dynamic and Flexible Approach to Safely Lifting Mask Mandate: A Proposal.

The governors of New Jersey, New York, California, Connecticut, Delaware and Oregon announced early in the week of February 7 that select mask mandates in their states would end in two to six weeks. These states together account for 77.9 million Americans, or ~23.5% of the U.S. population, and therefore these changes in policy could have a significant impact on the U.S. economy, as well as education and healthcare systems in each state. As counts of COVID-19 cases, hospitalizations and deaths decrease, mask mandates should be reassessed. We propose that a data-driven, dynamic and flexible approach may help lift mask mandates safely and facilitate a smooth transition to post-pandemic normalcy.

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