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Simulation of Spatiotemporal Relationship between COVID-19 Propagation and Regional Economic Development in China

Author

Listed:
  • Dongya Liu

    (School of Information Engineering, China University of Geosciences, Beijing 100083, China)

  • Xinqi Zheng

    (School of Information Engineering, China University of Geosciences, Beijing 100083, China)

  • Lei Zhang

    (School of Information Engineering, China University of Geosciences, Beijing 100083, China
    Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034, China)

Abstract

Coronavirus disease 2019 (COVID-19) propagation in 2019 posed serious threats and challenges to human public health and safety. Currently, COVID-19 is still not effectively controlled in certain countries and regions. This study combines the traditional susceptible-exposed-infectious-recovered (SEIR) model, system dynamics (SD) model, and cellular automata (CA) model to construct a spatiotemporal dynamics pandemic model (SDPM). The SDPM is used to dynamically depict the spatiotemporal diffusion and outbreak of COVID-19 through research on the relationship between epidemic spread and regional development. The results show that: (1) There is a positive correlation between regional development and epidemic spread. The more developed the regional economy, especially in areas with short-range population migration from Hubei Province, the more severe the epidemic spread; and (2) The spatial isolation and control measures adopted by the government can effectively prevent the COVID-19 spread. The results explore the relationship between COVID-19 spread and regional economic development by studying the spatial and temporal transmission characteristics of COVID-19, and provide a scientific reference for the government to formulate reasonable response measures.

Suggested Citation

  • Dongya Liu & Xinqi Zheng & Lei Zhang, 2021. "Simulation of Spatiotemporal Relationship between COVID-19 Propagation and Regional Economic Development in China," Land, MDPI, vol. 10(6), pages 1-15, June.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:6:p:599-:d:569381
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    References listed on IDEAS

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    Cited by:

    1. Weiwei Zhang & Shiyong Liu & Nathaniel Osgood & Hongli Zhu & Ying Qian & Peng Jia, 2023. "Using simulation modelling and systems science to help contain COVID‐19: A systematic review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 40(1), pages 207-234, January.
    2. Celia Sama-Berrocal & Beatriz Corchuelo Martínez-Azúa, 2022. "How Has the COVID-19 Pandemic Affected the Different Branches of the Agri-Food Industry in Extremadura (Spain)?," Land, MDPI, vol. 11(6), pages 1-29, June.
    3. Fei Han & Xinqi Zheng & Peipei Wang & Dongya Liu & Minrui Zheng, 2022. "Effects of Meteorological Factors and Air Pollutants on COVID-19 Transmission under the Action of Control Measures," IJERPH, MDPI, vol. 19(15), pages 1-19, July.

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