Suppr超能文献

一种基于数据驱动、动态且灵活的安全解除口罩强制令方法:一项提议。

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

作者信息

Chen Cynthia, Shen Shiqian

机构信息

Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

出版信息

Explor Res Hypothesis Med. 2022 Jun;7(2):131-133. doi: 10.14218/ERHM.2022.00025. Epub 2022 Feb 25.

Abstract

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.

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日当周初宣布,他们所在州的部分口罩强制令将在两到六周内结束。这些州总共覆盖7790万美国人,约占美国人口的23.5%,因此这些政策变化可能会对美国经济以及每个州的教育和医疗系统产生重大影响。随着新冠病毒感染病例、住院人数和死亡人数的减少,口罩强制令应重新评估。我们建议,采用数据驱动、动态且灵活的方法可能有助于安全解除口罩强制令,并促进向疫情后常态的平稳过渡。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/907c/9202658/61bf14192336/nihms-1784783-f0001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验