IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i18p6691-d413440.html
   My bibliography  Save this article

National Disaster Management System: COVID-19 Case in Korea

Author

Listed:
  • Junic Kim

    (School of Business, Konkuk University, 120 Neungdong-ro, Seoul 05029, Korea)

  • Kelly Ashihara

    (School of Business, Konkuk University, 120 Neungdong-ro, Seoul 05029, Korea)

Abstract

The COVID-19 pandemic poses unprecedented challenges for governments and societies around the world and represents a global crisis of hitherto unexperienced proportions. Our research seeks to analyse disaster management systems from a national perspective by examining the Korean management of the COVID-19 crisis according to a four-phase epidemiological disaster management system. Utilising a meta-study, official documents, reports and interviews, we explore the role of the control tower mechanism related to the life-cycle of disaster management, and Korea’s sustainable containment strategy. This study begins with a discussion of the crisis and disaster management literature and provides specific information related to the Korean government’s response to COVID-19. It continues by detailing specific strategies such as wide-spread testing, tracking, treatment and quarantine that have enabled Korea to prevent wide-spread community transmission. The study concludes emphasising the relevance of systematic national disaster management, providing insight into methods for containment in Korea – a system commended by the WHO. Implications include the extension and the efficient application of disaster management theory by empirical application and integration of concepts.

Suggested Citation

  • Junic Kim & Kelly Ashihara, 2020. "National Disaster Management System: COVID-19 Case in Korea," IJERPH, MDPI, vol. 17(18), pages 1-18, September.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:18:p:6691-:d:413440
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/18/6691/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/18/6691/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Karl M. Aspelund & Michael C. Droste & James H. Stock & Christopher D. Walker, 2020. "Identification and Estimation of Undetected COVID-19 Cases Using Testing Data from Iceland," NBER Working Papers 27528, National Bureau of Economic Research, Inc.
    2. Junic Kim, 2018. "Platform Adoption Factors in the Internet Industry," Sustainability, MDPI, vol. 10(9), pages 1-12, September.
    3. Hortaçsu, Ali & Liu, Jiarui & Schwieg, Timothy, 2021. "Estimating the fraction of unreported infections in epidemics with a known epicenter: An application to COVID-19," Journal of Econometrics, Elsevier, vol. 220(1), pages 106-129.
    4. Junic Kim, 2016. "The platform business model and business ecosystem: quality management and revenue structures," European Planning Studies, Taylor & Francis Journals, vol. 24(12), pages 2113-2132, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Minyoung Ku & Ahreum Han & Keon-Hyung Lee, 2021. "The Dynamics of Cross-Sector Collaboration in Centralized Disaster Governance: A Network Study of Interorganizational Collaborations during the MERS Epidemic in South Korea," IJERPH, MDPI, vol. 19(1), pages 1-15, December.
    2. Hwankyung Janet Lee, 2023. "Interface as the site of infrastructural change," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-9, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Junic Kim & Jaewook Yoo, 2019. "Platform Growth Model: The Four Stages of Growth Model," Sustainability, MDPI, vol. 11(20), pages 1-16, October.
    2. Kim, Junic, 2021. "Platform quality factors influencing content providers’ loyalty," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    3. Hortaçsu, Ali & Liu, Jiarui & Schwieg, Timothy, 2021. "Estimating the fraction of unreported infections in epidemics with a known epicenter: An application to COVID-19," Journal of Econometrics, Elsevier, vol. 220(1), pages 106-129.
    4. Antonio Diez de los Rios, 2022. "A macroeconomic model of an epidemic with silent transmission and endogenous self‐isolation," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(S1), pages 581-625, February.
    5. Chen, Xiaowei & Chong, Wing Fung & Feng, Runhuan & Zhang, Linfeng, 2021. "Pandemic risk management: Resources contingency planning and allocation," Insurance: Mathematics and Economics, Elsevier, vol. 101(PB), pages 359-383.
    6. Centorrino, Samuele & Parmeter, Christopher F., 2024. "Nonparametric estimation of stochastic frontier models with weak separability," Journal of Econometrics, Elsevier, vol. 238(2).
    7. Robert S. Pindyck, 2020. "COVID-19 and the Welfare Effects of Reducing Contagion," NBER Working Papers 27121, National Bureau of Economic Research, Inc.
    8. Andrew G. Atkeson & Karen A. Kopecky & Tao Zha, 2024. "Four Stylized Facts About Covid‐19," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 65(1), pages 3-42, February.
    9. David Berger & Kyle Herkenhoff & Chengdai Huang & Simon Mongey, 2022. "Testing and Reopening in an SEIR Model," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 43, pages 1-21, January.
    10. Daniel L. Millimet & Christopher F. Parmeter, 2022. "COVID‐19 severity: A new approach to quantifying global cases and deaths," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 1178-1215, July.
    11. David Berger & Kyle Herkenhoff & Chengdai Huang & Simon Mongey, 2022. "Testing and Reopening in an SEIR Model," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 43, pages 1-21, January.
    12. Facundo Piguillem & Liyan Shi, 2022. "Optimal Covid-19 Quarantine and Testing Policies," The Economic Journal, Royal Economic Society, vol. 132(647), pages 2534-2562.
    13. Nie, Shiqian & Lei, Xiaochun, 2023. "A time-dependent model of the transmission of COVID-19 variants dynamics using Hausdorff fractal derivative," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 629(C).
    14. Junic Kim, 2018. "Platform Adoption Factors in the Internet Industry," Sustainability, MDPI, vol. 10(9), pages 1-12, September.
    15. Jonas E. Arias & Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez & Minchul Shin, 2021. "Bayesian Estimation of Epidemiological Models: Methods, Causality, and Policy Trade-Offs," Working Papers 21-18, Federal Reserve Bank of Philadelphia.
    16. M. A. Shareef & Y. Dwivedi & M. S. Hosain & M. Giannakis & J. U. Ahmed, 2024. "Entrepreneurial Ecosystem of Startups in Bangladesh: Mechanism of Balanced Coexistence," Post-Print hal-04555454, HAL.
    17. Toulis, Panos, 2021. "Estimation of Covid-19 prevalence from serology tests: A partial identification approach," Journal of Econometrics, Elsevier, vol. 220(1), pages 193-213.
    18. Minhyuk Sur & Deok-Joo Lee & Kyung-Taek Kim, 2019. "Optimal revenue sharing in platform markets: a Stackelberg model," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(4), pages 317-331, August.
    19. Garriga, Carlos & Manuelli, Rody & Sanghi, Siddhartha, 2022. "Optimal management of an epidemic: Lockdown, vaccine and value of life," Journal of Economic Dynamics and Control, Elsevier, vol. 140(C).
    20. Leonardo Melosi & Matthias Rottner, 2023. "Pandemic Recessions and Contact Tracing," Journal of the European Economic Association, European Economic Association, vol. 21(6), pages 2485-2517.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:18:p:6691-:d:413440. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.