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Density or Connectivity: What Are the Main Causes of the Spatial Proliferation of COVID-19 in Korea?

Author

Listed:
  • Yun Jo

    (Graduate School of Urban Studies, Hanyang University, Seoul 04763, Korea)

  • Andy Hong

    (Department of City & Metropolitan Planning, College of Architecture + Planning, University of Utah, Salt Lake City, UT 84112, USA
    The George Institute for Global Health, Newtown, NSW 2042, Australia)

  • Hyungun Sung

    (Graduate School of Urban Studies, Hanyang University, Seoul 04763, Korea)

Abstract

COVID-19 has sparked a debate on the vulnerability of densely populated cities. Some studies argue that high-density urban centers are more vulnerable to infectious diseases due to a higher chance of infection in crowded urban environments. Other studies, however, argue that connectivity rather than population density plays a more significant role in the spread of COVID-19. While several studies have examined the role of urban density and connectivity in Europe and the U.S., few studies have been conducted in Asian countries. This study aims to investigate the role of urban spatial structure on COVID-19 by comparing different measures of urban density and connectivity during the first eight months of the outbreak in Korea. Two measures of density were derived from the Korean census, and four measures of connectivity were computed using social network analysis of the Origin-Destination data from the 2020 Korea Transport Database. We fitted both OLS and negative binomial models to the number of confirmed COVID-19 patients and its infection rates at the county level, collected individually from regional government websites in Korea. Results show that both density and connectivity play an important role in the proliferation of the COVID-19 outbreak in Korea. However, we found that the connectivity measure, particularly a measure of network centrality, was a better indicator of COVID-19 proliferation than the density measures. Our findings imply that policies that take into account different types of connectivity between cities might be necessary to contain the outbreak in the early phase.

Suggested Citation

  • Yun Jo & Andy Hong & Hyungun Sung, 2021. "Density or Connectivity: What Are the Main Causes of the Spatial Proliferation of COVID-19 in Korea?," IJERPH, MDPI, vol. 18(10), pages 1-16, May.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:10:p:5084-:d:552590
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    References listed on IDEAS

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    1. Sajad Jamshidi & Maryam Baniasad & Dev Niyogi, 2020. "Global to USA County Scale Analysis of Weather, Urban Density, Mobility, Homestay, and Mask Use on COVID-19," IJERPH, MDPI, vol. 17(21), pages 1-17, October.
    2. Frankema, Ewout & Tworek, Heidi, 2020. "Pandemics that changed the world: historical reflections on COVID-19," Journal of Global History, Cambridge University Press, vol. 15(3), pages 333-335, November.
    3. Md Arif Billah & Md Mamun Miah & Md Nuruzzaman Khan, 2020. "Reproductive number of coronavirus: A systematic review and meta-analysis based on global level evidence," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-17, November.
    4. Jing Xie & Shixian Luo & Katsunori Furuya & Dajiang Sun, 2020. "Urban Parks as Green Buffers During the COVID-19 Pandemic," Sustainability, MDPI, vol. 12(17), pages 1-17, August.
    5. Manganelli, Simone & Piras, Francesco & Agnoletti, Mauro, 2020. "Covid-19 and rural landscape: the case of Italy," Working Paper Series 2478, European Central Bank.
    6. Seungil Yum, 2020. "Social Network Analysis for Coronavirus (COVID‐19) in the United States," Social Science Quarterly, Southwestern Social Science Association, vol. 101(4), pages 1642-1647, July.
    7. Teresa Graziano, 2021. "Smart Technologies, Back-to-the-Village Rhetoric, and Tactical Urbanism: Post-COVID Planning Scenarios in Italy," International Journal of E-Planning Research (IJEPR), IGI Global, vol. 10(2), pages 80-93, April.
    8. Shima Hamidi & Sadegh Sabouri & Reid Ewing, 2020. "Does Density Aggravate the COVID-19 Pandemic?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 86(4), pages 495-509, October.
    9. Per Block & Marion Hoffman & Isabel J. Raabe & Jennifer Beam Dowd & Charles Rahal & Ridhi Kashyap & Melinda C. Mills, 2020. "Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world," Nature Human Behaviour, Nature, vol. 4(6), pages 588-596, June.
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