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A practice of using five-colour chart to guide the control of COVID-19 and resumption of work in Zhejiang Province, China
Since the outbreak of COVID-19 in December 2019 in Wuhan, Zhejiang has become the province with the largest number of cases. The aim of this article is to present Zhejiang province’s experience of establishing an accurate and smart control mechanism for epidemic prevention and control and resumption...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8167099/ https://www.ncbi.nlm.nih.gov/pubmed/34059760 http://dx.doi.org/10.1038/s41598-021-90808-0 |
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author | He, Fan Shang, Xiaopeng Ling, Feng Chen, Zhiping Fu, Tiehong Lin, Junfen Wang, Zhen |
author_facet | He, Fan Shang, Xiaopeng Ling, Feng Chen, Zhiping Fu, Tiehong Lin, Junfen Wang, Zhen |
author_sort | He, Fan |
collection | PubMed |
description | Since the outbreak of COVID-19 in December 2019 in Wuhan, Zhejiang has become the province with the largest number of cases. The aim of this article is to present Zhejiang province’s experience of establishing an accurate and smart control mechanism for epidemic prevention and control and resumption of work and production using a ‘five-colour epidemic chart’. The number of confirmed cases, proportion of local cases, and occurrence of clustered outbreaks were used as evaluation indicators to calculate the county-level epidemic risk and were assigned different weight coefficients; the absence of cases for 3 and 7 consecutive days was used as the adjustment index. When the first chart was published on February 9, there were 1 very-high-risk, 12 high-risk, and 12 low-risk counties. Under the five-colour chart, Zhejiang began to adopt precise measures to prevent and control the epidemic and resume work and production. By February 24, the low-risk counties had expanded to 82, with no high-risk and very-high-risk counties. The epidemic situation in Zhejiang province has been effectively controlled. The experience of epidemic prevention and control in Zhejiang is worthy to be emulated and learned by other countries and regions. |
format | Online Article Text |
id | pubmed-8167099 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-81670992021-06-02 A practice of using five-colour chart to guide the control of COVID-19 and resumption of work in Zhejiang Province, China He, Fan Shang, Xiaopeng Ling, Feng Chen, Zhiping Fu, Tiehong Lin, Junfen Wang, Zhen Sci Rep Article Since the outbreak of COVID-19 in December 2019 in Wuhan, Zhejiang has become the province with the largest number of cases. The aim of this article is to present Zhejiang province’s experience of establishing an accurate and smart control mechanism for epidemic prevention and control and resumption of work and production using a ‘five-colour epidemic chart’. The number of confirmed cases, proportion of local cases, and occurrence of clustered outbreaks were used as evaluation indicators to calculate the county-level epidemic risk and were assigned different weight coefficients; the absence of cases for 3 and 7 consecutive days was used as the adjustment index. When the first chart was published on February 9, there were 1 very-high-risk, 12 high-risk, and 12 low-risk counties. Under the five-colour chart, Zhejiang began to adopt precise measures to prevent and control the epidemic and resume work and production. By February 24, the low-risk counties had expanded to 82, with no high-risk and very-high-risk counties. The epidemic situation in Zhejiang province has been effectively controlled. The experience of epidemic prevention and control in Zhejiang is worthy to be emulated and learned by other countries and regions. Nature Publishing Group UK 2021-05-31 /pmc/articles/PMC8167099/ /pubmed/34059760 http://dx.doi.org/10.1038/s41598-021-90808-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article He, Fan Shang, Xiaopeng Ling, Feng Chen, Zhiping Fu, Tiehong Lin, Junfen Wang, Zhen A practice of using five-colour chart to guide the control of COVID-19 and resumption of work in Zhejiang Province, China |
title | A practice of using five-colour chart to guide the control of COVID-19 and resumption of work in Zhejiang Province, China |
title_full | A practice of using five-colour chart to guide the control of COVID-19 and resumption of work in Zhejiang Province, China |
title_fullStr | A practice of using five-colour chart to guide the control of COVID-19 and resumption of work in Zhejiang Province, China |
title_full_unstemmed | A practice of using five-colour chart to guide the control of COVID-19 and resumption of work in Zhejiang Province, China |
title_short | A practice of using five-colour chart to guide the control of COVID-19 and resumption of work in Zhejiang Province, China |
title_sort | practice of using five-colour chart to guide the control of covid-19 and resumption of work in zhejiang province, china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8167099/ https://www.ncbi.nlm.nih.gov/pubmed/34059760 http://dx.doi.org/10.1038/s41598-021-90808-0 |
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