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Spatiotemporal Characteristics and Patterns of the COVID-19 Pandemic in China: An Empirical Study Based on 413 Cities or Regions

Author

Listed:
  • Jialu Shi

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

  • Xuan Wang

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

  • Fuyi Ci

    (School of Economics, Shandong Normal University, Jinan 250358, China)

  • Kai Liu

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

Abstract

The global economy was stagnant and even regressed since the outbreak of COVID-19. Exploring the spatiotemporal characteristics and patterns of COVID-19 pandemic spread may contribute to more scientific and effective pandemic prevention and control. This paper attempts to investigate the spatiotemporal characteristics in cumulative confirmed COVID-19 cases, mortality, and cure rate in 413 Chinese cities or regions using the data officially disclosed by the government. The results showed that: (1) The pandemic development can be divided into five stages: early stage (sustained growth), early mid-stage (accelerated growth), mid-stage (rapid growth), late mid-stage (slow growth), and late-stage (stable disappearance); (2) the cumulative number of confirmed COVID-19 cases remained constant in Wuhan, whilst the mortality tended to rise faster from the early stage to the late-stage and the cure rate moved from the southeast to the northwest; (3) the three indicators mentioned above showed significant and positive spatial correlation. Moran’s I curve demonstrated an inverted “V” trend in cumulative confirmed COVID-19 cases; the mortality curve was generally flat; the cure rate curve tended to rise. There are apparent differences in the local spatial autocorrelation pattern of the three primary indicators.

Suggested Citation

  • Jialu Shi & Xuan Wang & Fuyi Ci & Kai Liu, 2022. "Spatiotemporal Characteristics and Patterns of the COVID-19 Pandemic in China: An Empirical Study Based on 413 Cities or Regions," IJERPH, MDPI, vol. 19(4), pages 1-16, February.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:4:p:2070-:d:748085
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    References listed on IDEAS

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    1. Hong Yan Li & Hui Cao & Doris Y. P. Leung & Yim Wah Mak, 2020. "The Psychological Impacts of a COVID-19 Outbreak on College Students in China: A Longitudinal Study," IJERPH, MDPI, vol. 17(11), pages 1-11, June.
    2. Jose Maria Barrero & Nicholas Bloom & Steven J. Davis, 2020. "COVID-19 Is Also a Reallocation Shock," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 51(2 (Summer), pages 329-383.
    3. Albertus J. Smit & Jennifer M. Fitchett & Francois A. Engelbrecht & Robert J. Scholes & Godfrey Dzhivhuho & Neville A. Sweijd, 2020. "Winter Is Coming: A Southern Hemisphere Perspective of the Environmental Drivers of SARS-CoV-2 and the Potential Seasonality of COVID-19," IJERPH, MDPI, vol. 17(16), pages 1-28, August.
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    Cited by:

    1. Yajun Xiong & Hui Tang & Xiaobo Tian, 2022. "Research on Structural Toughness of Railway City Network in Yellow River Basin and Case Study of Zhengzhou 7–20 Rainstorm Disaster," Sustainability, MDPI, vol. 14(19), pages 1-17, September.

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