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Policy Disparities in Response to COVID-19 between China and South Korea
Objectives: This study analyzed the effects of COVID-19 non-pharmaceutical measures between China and South Korea to share experiences with other countries in the struggle against SARS-CoV-2. Methods: We used the generalized linear model to examine the associations between non-pharmaceutical measure...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Atlantis Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242108/ https://www.ncbi.nlm.nih.gov/pubmed/33876595 http://dx.doi.org/10.2991/jegh.k.210322.001 |
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author | Chen, Haiqian Shi, Leiyu Zhang, Yuyao Wang, Xiaohan Sun, Gang |
author_facet | Chen, Haiqian Shi, Leiyu Zhang, Yuyao Wang, Xiaohan Sun, Gang |
author_sort | Chen, Haiqian |
collection | PubMed |
description | Objectives: This study analyzed the effects of COVID-19 non-pharmaceutical measures between China and South Korea to share experiences with other countries in the struggle against SARS-CoV-2. Methods: We used the generalized linear model to examine the associations between non-pharmaceutical measures adopted by China and South Korea and the number of confirmed cases. Policy disparities were also discussed between these two countries. Results: The results show that the following factors influence the number of confirmed cases in China: lockdown of Wuhan city (LWC); establishment of a Leading Group by the Central Government; raising the public health emergency response to the highest level in all localities; classifying management of “four categories of personnel”; makeshift hospitals in operation (MHIO); pairing assistance (PA); launching massive community screening (LMCS). In South Korea, these following factors were the key influencing factors of the cumulative confirmed cases: raising the public alert level to orange (three out of four levels); raising the public alert to the highest level; launching drive-through screening centers (LDSC); screening all members of Shincheonji religious group; launching Community Treatment Center (LCTC); distributing public face masks nationwide and quarantining all travelers from overseas countries for 14 days. Conclusion: Based on the analysis of the generalized linear model, we found that a series of non-pharmaceutical measures were associated with contain of the COVID-19 outbreak in China and South Korea. The following measures were crucial for both of them to fight against the COVID-19 epidemic: a strong national response system, expanding diagnostic tests, establishing makeshift hospitals, and quarantine or lockdown affected areas. |
format | Online Article Text |
id | pubmed-8242108 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Atlantis Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-82421082021-07-13 Policy Disparities in Response to COVID-19 between China and South Korea Chen, Haiqian Shi, Leiyu Zhang, Yuyao Wang, Xiaohan Sun, Gang J Epidemiol Glob Health Research Article Objectives: This study analyzed the effects of COVID-19 non-pharmaceutical measures between China and South Korea to share experiences with other countries in the struggle against SARS-CoV-2. Methods: We used the generalized linear model to examine the associations between non-pharmaceutical measures adopted by China and South Korea and the number of confirmed cases. Policy disparities were also discussed between these two countries. Results: The results show that the following factors influence the number of confirmed cases in China: lockdown of Wuhan city (LWC); establishment of a Leading Group by the Central Government; raising the public health emergency response to the highest level in all localities; classifying management of “four categories of personnel”; makeshift hospitals in operation (MHIO); pairing assistance (PA); launching massive community screening (LMCS). In South Korea, these following factors were the key influencing factors of the cumulative confirmed cases: raising the public alert level to orange (three out of four levels); raising the public alert to the highest level; launching drive-through screening centers (LDSC); screening all members of Shincheonji religious group; launching Community Treatment Center (LCTC); distributing public face masks nationwide and quarantining all travelers from overseas countries for 14 days. Conclusion: Based on the analysis of the generalized linear model, we found that a series of non-pharmaceutical measures were associated with contain of the COVID-19 outbreak in China and South Korea. The following measures were crucial for both of them to fight against the COVID-19 epidemic: a strong national response system, expanding diagnostic tests, establishing makeshift hospitals, and quarantine or lockdown affected areas. Atlantis Press 2021-06 /pmc/articles/PMC8242108/ /pubmed/33876595 http://dx.doi.org/10.2991/jegh.k.210322.001 Text en © 2021 The Authors. Published by Atlantis Press International B.V. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ). |
spellingShingle | Research Article Chen, Haiqian Shi, Leiyu Zhang, Yuyao Wang, Xiaohan Sun, Gang Policy Disparities in Response to COVID-19 between China and South Korea |
title | Policy Disparities in Response to COVID-19 between China and South Korea |
title_full | Policy Disparities in Response to COVID-19 between China and South Korea |
title_fullStr | Policy Disparities in Response to COVID-19 between China and South Korea |
title_full_unstemmed | Policy Disparities in Response to COVID-19 between China and South Korea |
title_short | Policy Disparities in Response to COVID-19 between China and South Korea |
title_sort | policy disparities in response to covid-19 between china and south korea |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242108/ https://www.ncbi.nlm.nih.gov/pubmed/33876595 http://dx.doi.org/10.2991/jegh.k.210322.001 |
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