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全州范围学校关闭对 COVID-19 感染率的影响。

The impact of statewide school closures on COVID-19 infection rates.

机构信息

Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.

Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.

出版信息

Am J Infect Control. 2021 Apr;49(4):503-505. doi: 10.1016/j.ajic.2021.01.002. Epub 2021 Jan 8.

DOI:10.1016/j.ajic.2021.01.002
PMID:33428984
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7831551/
Abstract

Daily COVID-19 infection rates were examined before and after statewide school closure orders. Regression techniques were used to model changes in the number of confirmed cases and data was combined across states using meta analyses. School closures were found to have a significant impact on infection rates, and thus, may be considered a viable intervention to lower COVID-19 infection rates.

摘要

研究人员分析了全州学校关闭令发布前后的每日 COVID-19 感染率。研究采用回归技术建立确诊病例数量模型，并通过荟萃分析综合各州数据。研究结果表明，学校关闭对感染率有显著影响，因此，可考虑将其作为降低 COVID-19 感染率的一种可行干预措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/413b/7831551/ddab84a038ad/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/413b/7831551/ddab84a038ad/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/413b/7831551/ddab84a038ad/gr1_lrg.jpg

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