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应对级联大流行的战略响应地图:韩国应对新冠疫情的经验教训

A strategic response map for cascading pandemics: Lessons learned from the response to COVID-19 in the Republic of Korea.

作者信息

Kim Yong-Kyun, Yoon Wan Chul, Lee Jaekyung, Poncelet Jean-Luc, Dolcemascolo Glenn, Sohn Hong-Gyoo

机构信息

Ministry of Interior and Safety, Republic of Korea.

Korea Advanced Institute of Science and Technology, Republic of Korea.

出版信息

Prog Disaster Sci. 2022 Jan;13:100214. doi: 10.1016/j.pdisas.2022.100214. Epub 2022 Jan 5.

DOI:10.1016/j.pdisas.2022.100214
PMID:35013726
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8730467/
Abstract

COVID 19 is a still on-going fatal risk that affects the whole world. COVID-19 pandemic has been characterized as a systemic risk. Accordingly, this paper aims to identify the features of systemic risk of COVID-19 and draw policy implications for effective response. For this, we traced the COVID-19 related risk in Korea from January 2020 to August 2021 by utilizing the official data of the Korea Disease Control and Prevention Agency. Analyzing the relationship between anticipated, emerging, amplified, and lingering risk and response measure through actual data, it was revealed that the risk flow model for cascading risk proposed by the author can be readily applied. In addition, through the analysis of actual response measures against the risks for 1 year and 8 months, the authors proposed a strategic response map against cascading pandemics. Five policy implication derived through this study can be extended for identifying strategic approach against cascading pandemics and for developing guidelines for effective preparedness, risk reduction, and resilience building.

摘要

新冠疫情仍是一种影响全球的致命风险,且仍在持续。新冠疫情已被视为一种系统性风险。因此,本文旨在识别新冠疫情系统性风险的特征,并得出有效应对的政策启示。为此,我们利用韩国疾病控制与预防机构的官方数据,追踪了2020年1月至2021年8月韩国境内与新冠疫情相关的风险。通过实际数据分析预期风险、新出现风险、放大风险和持续风险与应对措施之间的关系,结果表明作者提出的级联风险风险流模型可轻松应用。此外,通过对1年零8个月的实际风险应对措施进行分析,作者提出了应对级联大流行的战略应对图。本研究得出的五项政策启示可扩展用于确定应对级联大流行的战略方法,以及制定有效防范、降低风险和增强复原力的指导方针。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22cb/8730467/bbb68fd584e5/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22cb/8730467/7f432eb8899f/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22cb/8730467/a03eeb7c2e2a/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22cb/8730467/7c5391402be4/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22cb/8730467/7f8ebdeec317/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22cb/8730467/bbb68fd584e5/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22cb/8730467/7f432eb8899f/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22cb/8730467/a03eeb7c2e2a/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22cb/8730467/7c5391402be4/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22cb/8730467/7f8ebdeec317/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22cb/8730467/bbb68fd584e5/gr5_lrg.jpg

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本文引用的文献

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Prog Disaster Sci. 2021 Dec;12:100200. doi: 10.1016/j.pdisas.2021.100200. Epub 2021 Sep 3.
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Presenting characteristics and clinical outcome of patients with COVID-19 in South Korea: A nationwide retrospective observational study.韩国新冠肺炎患者的临床表现及临床结局:一项全国性回顾性观察研究。
Lancet Reg Health West Pac. 2020 Dec;5:100061. doi: 10.1016/j.lanwpc.2020.100061. Epub 2020 Nov 27.
3
Governance, technology and citizen behavior in pandemic: Lessons from COVID-19 in East Asia.
疫情中的治理、技术与公民行为:东亚地区新冠疫情的经验教训
Prog Disaster Sci. 2020 Apr;6:100090. doi: 10.1016/j.pdisas.2020.100090. Epub 2020 Apr 6.
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Revisiting the Digital Divide in the COVID-19 Era.重新审视新冠疫情时代的数字鸿沟
Appl Econ Perspect Policy. 2021 Mar;43(1):458-464. doi: 10.1002/aepp.13104. Epub 2020 Oct 12.
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Response to COVID-19 in South Korea and implications for lifting stringent interventions.韩国对 COVID-19 的应对措施及放宽严格干预措施的影响。
BMC Med. 2020 Oct 9;18(1):321. doi: 10.1186/s12916-020-01791-8.
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Bouncing forward: a resilience approach to dealing with COVID-19 and future systemic shocks.向前跃进:一种应对新冠疫情及未来系统性冲击的复原力方法。
Environ Syst Decis. 2020;40(2):174-184. doi: 10.1007/s10669-020-09776-x. Epub 2020 May 25.