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Korea’s Early COVID-19 Response: Findings and Implications

Author

Listed:
  • Shin-Kue Ryu

    (Department of Political Science, Idaho State University, Pocatello, ID 83209, USA)

  • Soon-Gwan Chung

    (Department of Public Administration, Sunchon National University, Suncheon 57922, Korea)

Abstract

South Korea was a hotspot of the COVID-19 pandemic with confirmed infections quickly surpassing 10,000 people. However, the country quickly responded and contained additional infections with minimal costs of lives. Hence, the question, “what did they do differently?” Building on empirical fingerprints from over 1507 pages of South Korean government press briefings on their public sector response between 31 January 2020 and 1 July 2020, we capture the sufficiency-based mechanism in operation with two key findings. First, mechanisms matter in pandemic containment, i.e., sequence, complementary activities, and systematic settings are consequential to the witnessed outcome. Second, central government-led efforts were effective and in parts necessary to deal with invisible and rapidly spreading infections beyond a single jurisdictional boundary. These findings lead to a timely discussion on whether pandemics should be treated in the same scholarly limelight as other natural disasters.

Suggested Citation

  • Shin-Kue Ryu & Soon-Gwan Chung, 2021. "Korea’s Early COVID-19 Response: Findings and Implications," IJERPH, MDPI, vol. 18(16), pages 1-20, August.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:16:p:8316-:d:609249
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    References listed on IDEAS

    as
    1. Cartwright,Nancy, 2007. "Hunting Causes and Using Them," Cambridge Books, Cambridge University Press, number 9780521860819, November.
    2. Bãœthe, Tim, 2002. "Taking Temporality Seriously: Modeling History and the Use of Narratives as Evidence," American Political Science Review, Cambridge University Press, vol. 96(3), pages 481-493, September.
    3. Niheer Dasandi & Marc Esteve, 2017. "The Politics–Bureaucracy Interface in Developing Countries," Public Administration & Development, Blackwell Publishing, vol. 37(4), pages 231-245, October.
    4. Gabriele Prati & Luca Pietrantoni & Bruna Zani, 2011. "A Social‐Cognitive Model of Pandemic Influenza H1N1 Risk Perception and Recommended Behaviors in Italy," Risk Analysis, John Wiley & Sons, vol. 31(4), pages 645-656, April.
    5. Cartwright,Nancy, 2007. "Hunting Causes and Using Them," Cambridge Books, Cambridge University Press, number 9780521677981, November.
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