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Lessons drawn from China and South Korea for managing COVID-19 epidemic: Insights from a comparative modeling study
We conducted a comparative study of the COVID-19 epidemic in three different settings: mainland China, the Guangdong province of China and South Korea, by formulating two disease transmission dynamics models which incorporate epidemic characteristics and setting-specific interventions, and fitting t...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
ISA. Published by Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8713134/ https://www.ncbi.nlm.nih.gov/pubmed/35164963 http://dx.doi.org/10.1016/j.isatra.2021.12.004 |
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author | Tang, Biao Xia, Fan Bragazzi, Nicola Luigi McCarthy, Zachary Wang, Xia He, Sha Sun, Xiaodan Tang, Sanyi Xiao, Yanni Wu, Jianhong |
author_facet | Tang, Biao Xia, Fan Bragazzi, Nicola Luigi McCarthy, Zachary Wang, Xia He, Sha Sun, Xiaodan Tang, Sanyi Xiao, Yanni Wu, Jianhong |
author_sort | Tang, Biao |
collection | PubMed |
description | We conducted a comparative study of the COVID-19 epidemic in three different settings: mainland China, the Guangdong province of China and South Korea, by formulating two disease transmission dynamics models which incorporate epidemic characteristics and setting-specific interventions, and fitting the models to multi-source data to identify initial and effective reproduction numbers and evaluate effectiveness of interventions. We estimated the initial basic reproduction number for South Korea, the Guangdong province and mainland China as 2.6 (95% confidence interval (CI): (2.5, 2.7)), 3.0 (95%CI: (2.6, 3.3)) and 3.8 (95%CI: (3.5,4.2)), respectively, given a serial interval with mean of 5 days with standard deviation of 3 days. We found that the effective reproduction number for the Guangdong province and mainland China has fallen below the threshold 1 since February 8th and 18th respectively, while the effective reproduction number for South Korea remains high until March 2nd Moreover our model-based analysis shows that the COVID-19 epidemics in South Korean is almost under control with the cumulative confirmed cases tending to be stable as of April 14th. Through sensitivity analysis, we show that a coherent and integrated approach with stringent public health interventions is the key to the success of containing the epidemic in China and especially its provinces outside its epicenter. In comparison, we find that the extremely high detection rate is the key factor determining the success in controlling the COVID-19 epidemics in South Korea. The experience of outbreak control in mainland China and South Korea should be a guiding reference for the rest of the world. |
format | Online Article Text |
id | pubmed-8713134 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | ISA. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87131342021-12-28 Lessons drawn from China and South Korea for managing COVID-19 epidemic: Insights from a comparative modeling study Tang, Biao Xia, Fan Bragazzi, Nicola Luigi McCarthy, Zachary Wang, Xia He, Sha Sun, Xiaodan Tang, Sanyi Xiao, Yanni Wu, Jianhong ISA Trans Article We conducted a comparative study of the COVID-19 epidemic in three different settings: mainland China, the Guangdong province of China and South Korea, by formulating two disease transmission dynamics models which incorporate epidemic characteristics and setting-specific interventions, and fitting the models to multi-source data to identify initial and effective reproduction numbers and evaluate effectiveness of interventions. We estimated the initial basic reproduction number for South Korea, the Guangdong province and mainland China as 2.6 (95% confidence interval (CI): (2.5, 2.7)), 3.0 (95%CI: (2.6, 3.3)) and 3.8 (95%CI: (3.5,4.2)), respectively, given a serial interval with mean of 5 days with standard deviation of 3 days. We found that the effective reproduction number for the Guangdong province and mainland China has fallen below the threshold 1 since February 8th and 18th respectively, while the effective reproduction number for South Korea remains high until March 2nd Moreover our model-based analysis shows that the COVID-19 epidemics in South Korean is almost under control with the cumulative confirmed cases tending to be stable as of April 14th. Through sensitivity analysis, we show that a coherent and integrated approach with stringent public health interventions is the key to the success of containing the epidemic in China and especially its provinces outside its epicenter. In comparison, we find that the extremely high detection rate is the key factor determining the success in controlling the COVID-19 epidemics in South Korea. The experience of outbreak control in mainland China and South Korea should be a guiding reference for the rest of the world. ISA. Published by Elsevier Ltd. 2022-05 2021-12-28 /pmc/articles/PMC8713134/ /pubmed/35164963 http://dx.doi.org/10.1016/j.isatra.2021.12.004 Text en © 2021 ISA. Published by Elsevier Ltd. All rights reserved. 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 | Article Tang, Biao Xia, Fan Bragazzi, Nicola Luigi McCarthy, Zachary Wang, Xia He, Sha Sun, Xiaodan Tang, Sanyi Xiao, Yanni Wu, Jianhong Lessons drawn from China and South Korea for managing COVID-19 epidemic: Insights from a comparative modeling study |
title | Lessons drawn from China and South Korea for managing COVID-19 epidemic: Insights from a comparative modeling study |
title_full | Lessons drawn from China and South Korea for managing COVID-19 epidemic: Insights from a comparative modeling study |
title_fullStr | Lessons drawn from China and South Korea for managing COVID-19 epidemic: Insights from a comparative modeling study |
title_full_unstemmed | Lessons drawn from China and South Korea for managing COVID-19 epidemic: Insights from a comparative modeling study |
title_short | Lessons drawn from China and South Korea for managing COVID-19 epidemic: Insights from a comparative modeling study |
title_sort | lessons drawn from china and south korea for managing covid-19 epidemic: insights from a comparative modeling study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8713134/ https://www.ncbi.nlm.nih.gov/pubmed/35164963 http://dx.doi.org/10.1016/j.isatra.2021.12.004 |
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