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Spatial Characteristics Analysis of COVID-19 in Guangdong and Suggestions for Community Prevention

In: Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Fan Wu

    (South China University of Technology)

  • Yuxuan Li

    (South China University of Technology)

  • Junjie Ma

    (South China University of Technology)

  • Zilin Chen

    (South China University of Technology)

  • Weijia Luo

    (South China University of Technology)

Abstract

As a major public health event, the impact of the COVID-19 outbreak was significant. Based on data from December 2021 to March 2022 for the medium to high-risk areas reported in Guangdong Province and their corresponding street communities, the paper studied the spatial characteristics of the epidemic and the gathering distribution of points of interest (POI) and traffic points, and the association between them, which is analyzed by kernel density analysis, cold-hot spot analysis, and spatial autocorrelation analysis. It was found that the spatial distribution of the epidemic in Guangdong Province had significant positive spatial clustering characteristics, and the spatial clustering pattern of the epidemic was roughly the same as the clustering distribution pattern of POIs and traffic points.

Suggested Citation

  • Fan Wu & Yuxuan Li & Junjie Ma & Zilin Chen & Weijia Luo, 2023. "Spatial Characteristics Analysis of COVID-19 in Guangdong and Suggestions for Community Prevention," Lecture Notes in Operations Research, in: Jing Li & Weisheng Lu & Yi Peng & Hongping Yuan & Daikun Wang (ed.), Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate, pages 1673-1681, Springer.
    • Handle: RePEc:spr:lnopch:978-981-99-3626-7_129
    DOI: 10.1007/978-981-99-3626-7_129
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