Suppr超能文献

佩戴口罩可减少社区环境中 SARS-CoV-2 的传播。

Mask wearing in community settings reduces SARS-CoV-2 transmission.

机构信息

Department of Computer Science, University of Bristol, Bristol BS8 1TH, United Kingdom.

External collaborator to Oxford Applied and Theoretical Machine Learning Group, University of Oxford, Oxford OX1 2JD, United Kingdom.

出版信息

Proc Natl Acad Sci U S A. 2022 Jun 7;119(23):e2119266119. doi: 10.1073/pnas.2119266119. Epub 2022 May 31.

Abstract

The effectiveness of mask wearing at controlling severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission has been unclear. While masks are known to substantially reduce disease transmission in healthcare settings [D. K. Chu et al., Lancet 395, 1973–1987 (2020); J. Howard et al., Proc. Natl. Acad. Sci. U.S.A. 118, e2014564118 (2021); Y. Cheng et al., Science eabg6296 (2021)], studies in community settings report inconsistent results [H. M. Ollila et al., medRxiv (2020); J. Brainard et al., Eurosurveillance 25, 2000725 (2020); T. Jefferson et al., Cochrane Database Syst. Rev. 11, CD006207 (2020)]. Most such studies focus on how masks impact transmission, by analyzing how effective government mask mandates are. However, we find that widespread voluntary mask wearing, and other data limitations, make mandate effectiveness a poor proxy for mask-wearing effectiveness. We directly analyze the effect of mask wearing on SARS-CoV-2 transmission, drawing on several datasets covering 92 regions on six continents, including the largest survey of wearing behavior (n= 20 million) [F. Kreuter et al., https://gisumd.github.io/COVID-19-API-Documentation (2020)]. Using a Bayesian hierarchical model, we estimate the effect of mask wearing on transmission, by linking reported wearing levels to reported cases in each region, while adjusting for mobility and nonpharmaceutical interventions (NPIs), such as bans on large gatherings. Our estimates imply that the mean observed level of mask wearing corresponds to a 19% decrease in the reproduction number R. We also assess the robustness of our results in 60 tests spanning 20 sensitivity analyses. In light of these results, policy makers can effectively reduce transmission by intervening to increase mask wearing.

摘要

口罩在控制严重急性呼吸综合征冠状病毒 2 (SARS-CoV-2) 传播方面的有效性尚不清楚。虽然口罩在医疗保健环境中已知可以显著减少疾病传播[D.K.Chu 等人,《柳叶刀》395, 1973–1987 (2020);J.Howard 等人,Proc. Natl. Acad. Sci. U.S.A. 118, e2014564118 (2021);Y.Cheng 等人,Science eabg6296 (2021)],但社区环境中的研究报告结果不一致[H.M.Ollila 等人,medRxiv (2020);J.Brainard 等人,Eurosurveillance 25, 2000725 (2020);T.Jefferson 等人,Cochrane Database Syst. Rev. 11, CD006207 (2020)]。大多数此类研究侧重于分析政府口罩强制令的有效性,以此来研究口罩如何影响传播。然而,我们发现,广泛的自愿戴口罩和其他数据限制使得强制令的有效性成为衡量口罩佩戴效果的一个较差指标。我们直接分析了口罩佩戴对 SARS-CoV-2 传播的影响,利用了涵盖六大洲 92 个地区的多个数据集,包括对佩戴行为的最大调查(n=2000 万)[F.Kreuter 等人,https://gisumd.github.io/COVID-19-API-Documentation (2020)]。我们使用贝叶斯层次模型,通过将报告的佩戴水平与每个地区报告的病例联系起来,同时调整流动性和非药物干预措施(如禁止大型集会),来估计佩戴口罩对传播的影响。我们的估计表明,观察到的口罩佩戴平均水平对应于繁殖数 R 降低 19%。我们还在 20 项敏感性分析中进行了 60 项测试,以评估我们结果的稳健性。鉴于这些结果,政策制定者可以通过干预来增加口罩佩戴,从而有效地降低传播。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5158/9191667/ad08f5af8d43/pnas.2119266119fig01.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验