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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...

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Autores principales: He, Fan, Shang, Xiaopeng, Ling, Feng, Chen, Zhiping, Fu, Tiehong, Lin, Junfen, Wang, Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
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.
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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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