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The Smart Safeguard System for COVID-19 to prevent cluster-infection in workplaces
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 t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8214659/ https://www.ncbi.nlm.nih.gov/pubmed/34174533 http://dx.doi.org/10.1016/j.jiph.2021.06.008 |
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author | Li, Ziyi Li, Guowei He, Jingjun Cao, Donglin Tian, Junzhang |
author_facet | Li, Ziyi Li, Guowei He, Jingjun Cao, Donglin Tian, Junzhang |
author_sort | Li, Ziyi |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8214659 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Authors. Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82146592021-06-21 The Smart Safeguard System for COVID-19 to prevent cluster-infection in workplaces Li, Ziyi Li, Guowei He, Jingjun Cao, Donglin Tian, Junzhang J Infect Public Health Short Communication 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. The Authors. Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences. 2021-08 2021-06-18 /pmc/articles/PMC8214659/ /pubmed/34174533 http://dx.doi.org/10.1016/j.jiph.2021.06.008 Text en © 2021 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Short Communication Li, Ziyi Li, Guowei He, Jingjun Cao, Donglin Tian, Junzhang The Smart Safeguard System for COVID-19 to prevent cluster-infection in workplaces |
title | The Smart Safeguard System for COVID-19 to prevent cluster-infection in workplaces |
title_full | The Smart Safeguard System for COVID-19 to prevent cluster-infection in workplaces |
title_fullStr | The Smart Safeguard System for COVID-19 to prevent cluster-infection in workplaces |
title_full_unstemmed | The Smart Safeguard System for COVID-19 to prevent cluster-infection in workplaces |
title_short | The Smart Safeguard System for COVID-19 to prevent cluster-infection in workplaces |
title_sort | smart safeguard system for covid-19 to prevent cluster-infection in workplaces |
topic | Short Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8214659/ https://www.ncbi.nlm.nih.gov/pubmed/34174533 http://dx.doi.org/10.1016/j.jiph.2021.06.008 |
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