Anzeige
Erschienen in:
2023 | OriginalPaper | Buchkapitel
Spatial Characteristics Analysis of COVID-19 in Guangdong and Suggestions for Community Prevention
verfasst von : Fan Wu, Yuxuan Li, Junjie Ma, Zilin Chen, Weijia Luo
Erschienen in: Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate
Verlag: Springer Nature Singapore
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by (Link öffnet in neuem Fenster)
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.