Evolution and control of the COVID-19 pandemic: A global perspective

The authors investigated the factors influencing the progression of the pandemic from a global perspective by using the Geodetector and Correlation methods and explored the pandemic response policies and effects in different countries. The results yielded three notable findings. First, empirical results show the COVID-19 pandemic is influenced by various factors, including demographic and economic parameters, international travelers, urbanization ratio, urban population, etc. Among them, the correlation between urban population and confirmed cases is strongest. Cities become the key factor affecting the COVID-19 pandemic, with high urbanization levels and population mobility increases the risk of large-scale outbreaks. Second, among control measures, School-closures, International-travel-restrictions, and Public-gathering-restriction have the best control effect on the epidemic. In addition, the combination of different types of control measures is more effective in controlling the outbreak, especially for Public-gathering-restrictions ∩ School-closures, International-travel-restrictions ∩ Workplace-closures, Public-transport-restrictions ∩ International-travel-restrictions. Third, implementing appropriate control measures in the first month of an outbreak played a critical role in future pandemic trends. Since there are few local cases in this period and the control measures have an obvious effect.

• Record URL:
  • https://doi.org/10.1016/j.cities.2022.103907
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S0264275122003468
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/02642751
• Supplemental Notes:
  • © 2022 Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
• Authors:
  • Wang, Yuqu
  • Wang, Zehong
  • Wang, Jieyu
  • Li, Ming
  • Wang, Shaojian
  • He, Xiong
  • Zhou, Chunshan
• Publication Date: 2022-11

Language

• English

Media Info

• Media Type: Digital/other
• Features: Maps; References; Tables;
• Pagination: 103907
• Serial:
  • Cities
  • Volume: 130
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0264-2751
  • Serial URL: http://www.sciencedirect.com/science/journal/02642751

Subject/Index Terms

• TRT Terms: Cities; Communicable diseases; Correlation analysis; COVID-19; Emergency management; International
• Subject Areas: Highways; Planning and Forecasting; Security and Emergencies;

Filing Info

• Accession Number: 01856527
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 29 2022 9:30AM