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

Fan Wu, Yuxuan Li, Junjie Ma, Zilin Chen and Weijia Luo ()
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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

A chapter in Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate, 2023, pp 1673-1681 from Springer

Abstract: 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.

Keywords: COVID-19; Community Governance; Spatial Characteristics Analysis; Point of Interest (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/978-981-99-3626-7_129

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