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《COVID-19 智能防护系统:防止工作场所聚集性感染》

The Smart Safeguard System for COVID-19 to prevent cluster-infection in workplaces.

机构信息

Centre of Clinical Epidemiology and Methodology, Guangdong Second Provincial General Hospital, Guangzhou, China.

Centre of Clinical Epidemiology and Methodology, Guangdong Second Provincial General Hospital, Guangzhou, China; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada.

出版信息

J Infect Public Health. 2021 Aug;14(8):1042-1044. doi: 10.1016/j.jiph.2021.06.008. Epub 2021 Jun 18.

DOI:10.1016/j.jiph.2021.06.008
PMID:34174533
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8214659/
Abstract

The ongoing Coronavirus Disease 2019 (COVID-19) broke out in China since December 2019, and rapidly spread worldwide. To contain the disease, unessential businesses had been shut down in several countries to a varying extent. Nowadays, the enterprises are resuming productions and businesses. While the resumption of production is crucial to social development, it elevates the risk of cluster-infections at the workplaces. Guangdong Second Provincial General Hospital therefore set up the Smart Safeguard System for COVID-19, aiming to provide rapid screening and consistent protection to assist the local enterprises with resumption. The system has received positive feedback as being helpful and practical. It has the potential to be widely used to prevent the cluster-infection of COVID-19 at workplaces during the pandemic.

摘要

自 2019 年 12 月以来,中国持续爆发的 2019 年冠状病毒病(COVID-19)迅速在全球范围内蔓延。为了控制疫情,一些国家在不同程度上关闭了非必要的企业。如今,企业正在恢复生产和经营。虽然生产的恢复对社会发展至关重要,但它增加了工作场所聚集性感染的风险。因此,广东省第二人民医院设立了 COVID-19 智能防护系统,旨在为当地企业的复工提供快速筛查和持续保护。该系统得到了积极的反馈,被认为是有帮助和实用的。它有可能在大流行期间广泛用于预防工作场所 COVID-19 的聚集性感染。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42d2/8214659/edbb265d73ab/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42d2/8214659/edbb265d73ab/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42d2/8214659/edbb265d73ab/gr1_lrg.jpg

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