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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
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    References listed on IDEAS

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    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).
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    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

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