Built environment and early infection of COVID-19 in urban districts: a case study of Huangzhou

Li, B., Peng, Y., He, H., Wang, M. and Feng, T. (2021) Built environment and early infection of COVID-19 in urban districts: a case study of Huangzhou. Sustainable Cities and Society, 66, 102685. (doi: 10.1016/j.scs.2020.102685) (PMID:33520609) (PMCID:PMC7836794)

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Since COVID-19 spread rapidly worldwide, many countries have experienced significant growth in the number of confirmed cases and deaths. Earlier studies have examined various factors that may contribute to the contagion rate of COVID-19, such as air pollution, smoking, humidity, and temperature. As there is a lack of studies at the neighborhood-level detailing the spatial settings of built environment attributes, this study explored the variations in the size of the COVID-19 confirmed case clusters across the urban district Huangzhou in the city of Huanggang. Clusters of infectious cases in the initial outbreak of COVID-19 were identified geographically through GIS methods. The hypothetic relationships between built environment attributes and clusters of COVID-19 cases have been investigated with the structural equation model. The results show the statistically significant direct and indirect influences of commercial vitality and transportation infrastructure on the number of confirmed cases in an infectious cluster. The clues ch inducing a high risk of contagions have been evidenced and provided for the decision-making practice responding to the initial stage of possible severe epidemics, indicating that the local public health authorities should implement sufficient measures and adopt effective interventions in the areas and places with a high probability of crowded residents.

Item Type:Articles
Keywords:Built environment, COVID-19, GIS, DBSCAN, SEM, commercial prosperity, medical service, transportation infrastructure.
Glasgow Author(s) Enlighten ID:Wang, Dr Mingshu
Creator Roles:
Wang, M.Conceptualization, Methodology, Writing – review and editing
Authors: Li, B., Peng, Y., He, H., Wang, M., and Feng, T.
College/School:College of Science and Engineering > School of Geographical and Earth Sciences
Journal Name:Sustainable Cities and Society
ISSN (Online):2210-6715
Published Online:26 December 2020
Copyright Holders:Copyright © 2020 The Authors
First Published:First published in Sustainable Cities and Society 66: 102685
Publisher Policy:Reproduced under a Creative Commons License

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