IDEAS home Printed from https://ideas.repec.org/a/spr/anresc/v71y2023i1d10.1007_s00168-022-01140-y.html
   My bibliography  Save this article

A modeling study of the effect of social distancing policies on the early spread of coronavirus disease 2019: a case of South Korea

Author

Listed:
  • Moon-Hyun Kim

    (Seoul National University)

  • Jiwon Lee

    (Seoul National University)

  • Hee-Jin Oh

    (Seoul National University)

  • Tsolmon Bayarsaikhan

    (Seoul National University)

  • Tae-Hyoung Tommy Gim

    (Seoul National University)

Abstract

The social distancing policy is an effective way to prevent the spread of infectious diseases in the initial phase of their outbreak when medical evidence to support a particular course of treatment is deficient. While studies on the coronavirus disease 2019 (COVID-19) have mainly focused on the effects of specific measures (e.g., school and workplace closures and restrictions on movement), few investigated the characteristics of epidemic trends in response to the intensity of the policy and the amount of time required for policy measures to take effect. This study employs the SIRD (susceptible, infected, recovered, and deceased) model to analyze the COVID-19 epidemic trend according to the intensity of the social distancing policy in South Korea. The model reveals that the reproduction number began at 5.58 and fluctuated between 0.14 and 1.72 during the study period in accordance with different policy intensities. At the beginning of the social distancing policy, restrictions on public facility use were likely to have been effective in preventing the spread of COVID-19. When the intervention was relaxed, the transmission potential increased significantly. According to the reproduction number, social distancing policies prove to be effective after 13–19 days of implementation; however, as the pandemic progressed, this period extended from 13–14 to 18–19 days for the same effect. This suggests that governments need to consider not only the intensity of the social distancing policy, but also people’s low responsiveness as the pandemic remains prevalent over time. It is also recommended they take preemptive action to ensure sufficient time for the policy to achieve its stated goal.

Suggested Citation

  • Moon-Hyun Kim & Jiwon Lee & Hee-Jin Oh & Tsolmon Bayarsaikhan & Tae-Hyoung Tommy Gim, 2023. "A modeling study of the effect of social distancing policies on the early spread of coronavirus disease 2019: a case of South Korea," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 71(1), pages 225-242, August.
  • Handle: RePEc:spr:anresc:v:71:y:2023:i:1:d:10.1007_s00168-022-01140-y
    DOI: 10.1007/s00168-022-01140-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00168-022-01140-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s00168-022-01140-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ari-Veikko Anttiroiko, 2021. "Successful Government Responses to the Pandemic: Contextualizing National and Urban Responses to the COVID-19 Outbreak in East and West," International Journal of E-Planning Research (IJEPR), IGI Global, vol. 10(2), pages 1-17, April.
    2. Thomas Abel & David McQueen, 2020. "The COVID-19 pandemic calls for spatial distancing and social closeness: not for social distancing!," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 65(3), pages 231-231, April.
    3. Crokidakis, Nuno, 2020. "COVID-19 spreading in Rio de Janeiro, Brazil: Do the policies of social isolation really work?," Chaos, Solitons & Fractals, Elsevier, vol. 136(C).
    Full references (including those not matched with items on IDEAS)

    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. Crokidakis, Nuno & Sigaud, Lucas, 2021. "Modeling the evolution of drinking behavior: A Statistical Physics perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
    2. Francis Onditi & Moses Obimbo & Samson Kinyanjui Muchina & Israel Nyadera, 2020. "Modeling a Pandemic (COVID-19) Management Strategy for Urban Slums Using Social Geometry Framework," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 32(5), pages 1450-1475, December.
    3. Abdallah Shanableh & Rami Al-Ruzouq & Mohamad Ali Khalil & Mohamed Barakat A. Gibril & Khaled Hamad & Mohamad Alhosani & Mohammed Hashem Stietiya & Mayyada Al Bardan & Saeed Al Mansoori & Nezar Atalla, 2022. "COVID-19 Lockdown and the Impact on Mobility, Air Quality, and Utility Consumption: A Case Study from Sharjah, United Arab Emirates," Sustainability, MDPI, vol. 14(3), pages 1-24, February.
    4. Seng Boon Lim & Jalaluddin Abdul Malek & Md Farabi Yussoff Md Yussoff & Tan Yigitcanlar, 2021. "Understanding and Acceptance of Smart City Policies: Practitioners’ Perspectives on the Malaysian Smart City Framework," Sustainability, MDPI, vol. 13(17), pages 1-31, August.
    5. Isabel J. Raabe & Alexander Ehlert & David Johann & Heiko Rauhut, 2020. "Satisfaction of scientists during the COVID-19 pandemic lockdown," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-7, December.
    6. Natale Canale & Claudia Marino & Michela Lenzi & Alessio Vieno & Mark D. Griffiths & Marta Gaboardi & Matteo Giraldo & Carmen Cervone & Santinello Massimo, 2022. "How Communication Technology Fosters Individual and Social Wellbeing During the Covid-19 Pandemic: Preliminary Support For a Digital Interaction Model," Journal of Happiness Studies, Springer, vol. 23(2), pages 727-745, February.
    7. Amit Summan & Arindam Nandi, 2022. "Timing of non-pharmaceutical interventions to mitigate COVID-19 transmission and their effects on mobility: a cross-country analysis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(1), pages 105-117, February.
    8. Hong, Jimin & Kim, Kyungsun & Seog, S. Hun, 2024. "Private efforts, public test policy and insurance against pandemic health risks," Pacific-Basin Finance Journal, Elsevier, vol. 85(C).
    9. Hansen Li & Matthew H. E. M. Browning & Angel M. Dzhambov & Guodong Zhang & Yang Cao, 2022. "Green Space for Mental Health in the COVID-19 Era: A Pathway Analysis in Residential Green Space Users," Land, MDPI, vol. 11(8), pages 1-18, July.
    10. Meghadri Das & Guruprasad Samanta & Manuel De la Sen, 2021. "A Fractional Ordered COVID-19 Model Incorporating Comorbidity and Vaccination," Mathematics, MDPI, vol. 9(21), pages 1-27, November.
    11. Umberto Volpe & Laura Orsolini & Virginio Salvi & Umberto Albert & Claudia Carmassi & Giuseppe Carrà & Francesca Cirulli & Bernardo Dell’Osso & Mario Luciano & Giulia Menculini & Maria Giulia Nanni & , 2022. "COVID-19-Related Social Isolation Predispose to Problematic Internet and Online Video Gaming Use in Italy," IJERPH, MDPI, vol. 19(3), pages 1-23, January.
    12. Chukwuemeka Emmanuel Ibeh & Emmanuel Chikezie Ijioma & Ikechukwu Ogeze Ukeje & Akonye Enyioma Joseph & Sampson Obum Amulu & Faith Ngozi Onyekere, 2024. "Pandemic Implications on Socio-Economic Wellbeing of Women: An Examination of Lockdown Domestic Violence Experience," Public Organization Review, Springer, vol. 24(1), pages 281-298, March.
    13. Meredith E. David & James A. Roberts, 2021. "Smartphone Use during the COVID-19 Pandemic: Social Versus Physical Distancing," IJERPH, MDPI, vol. 18(3), pages 1-8, January.
    14. Renz Louis Trinidad Montano & Katarina Margarita Lacaran Acebes, 2020. "Covid stress predicts depression, anxiety and stress symptoms of Filipino respondents," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 9(4), pages 78-103, July.
    15. Akhtar, Naeem & Ittefaq, Huma & Siddiqi, Umar Iqbal & Islam, Tahir & Hameed, Zahid & Kuzior, Aleksandra, 2024. "Zero-COVID and retail: Using multi-wave data to examine the role of perceived risk and psychological factors in shopping abandonment," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    16. Selin Köksal & Luca Maria Pesando & Valentina Rotondi & Ebru Şanlıtürk, 2022. "Harnessing the Potential of Google Searches for Understanding Dynamics of Intimate Partner Violence Before and After the COVID-19 Outbreak," European Journal of Population, Springer;European Association for Population Studies, vol. 38(3), pages 517-545, August.
    17. Stephen C. Newbold & David Finnoff & Linda Thunström & Madison Ashworth & Jason F. Shogren, 2020. "Effects of Physical Distancing to Control COVID-19 on Public Health, the Economy, and the Environment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 705-729, August.
    18. Hazal Duman Alptekin & Nihan Tomris Kucun & Merve Kurt & Behcet Yalin Ozkara, 2024. "Neurometric and biometric measurement of the effectiveness of covid-19-related public service announcements," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 21(3), pages 625-643, September.
    19. de Souza, Silvio L.T. & Batista, Antonio M. & Caldas, Iberê L. & Iarosz, Kelly C. & Szezech Jr, José D., 2021. "Dynamics of epidemics: Impact of easing restrictions and control of infection spread," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    20. Fatih Sekercioglu & Noori Kim, 2023. "Exploring the Effect of Music in Promoting the Health and Well-being of University Students in the COVID-19 Era," Journal of Economy Culture and Society, Istanbul University, Faculty of Economics, vol. 68(68), pages 1-8, December.

    More about this item

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • Z18 - Other Special Topics - - Cultural Economics - - - Public Policy

    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:spr:anresc:v:71:y:2023:i:1:d:10.1007_s00168-022-01140-y. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.