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Article

Investigating the Relationship between the Built Environment and Relative Risk of COVID-19 in Hong Kong

1
Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong, China
2
Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, China
3
Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China
4
Research Institute for Sustainable Urban Development, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2020, 9(11), 624; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9110624
Received: 20 September 2020 / Revised: 16 October 2020 / Accepted: 22 October 2020 / Published: 25 October 2020
(This article belongs to the Special Issue Geospatial Methods in Social and Behavioral Sciences)
Understanding the relationship between the built environment and the risk of COVID-19 transmission is essential to respond to the pandemic. This study explores the relationship between the built environment and COVID-19 risk using the confirmed cases data collected in Hong Kong. Using the information on the residential buildings and places visited for each case from the dataset, we assess the risk of COVID-19 and explore their geographic patterns at the level of Tertiary Planning Unit (TPU) based on incidence rate (R1) and venue density (R2). We then investigate the associations between several built-environment variables (e.g., nodal accessibility and green space density) and COVID-19 risk using global Poisson regression (GPR) and geographically weighted Poisson regression (GWPR) models. The results indicate that COVID-19 risk tends to be concentrated in particular areas of Hong Kong. Using the incidence rate as an indicator to assess COVID-19 risk may underestimate the risk of COVID-19 transmission in some suburban areas. The GPR and GWPR models suggest a close and spatially heterogeneous relationship between the selected built-environment variables and the risk of COVID-19 transmission. The study provides useful insights that support policymakers in responding to the COVID-19 pandemic and future epidemics. View Full-Text
Keywords: risk of COVID-19; built environment; global Poisson regression; geographically weighted Poisson regression risk of COVID-19; built environment; global Poisson regression; geographically weighted Poisson regression
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MDPI and ACS Style

Huang, J.; Kwan, M.-P.; Kan, Z.; Wong, M.S.; Kwok, C.Y.T.; Yu, X. Investigating the Relationship between the Built Environment and Relative Risk of COVID-19 in Hong Kong. ISPRS Int. J. Geo-Inf. 2020, 9, 624. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9110624

AMA Style

Huang J, Kwan M-P, Kan Z, Wong MS, Kwok CYT, Yu X. Investigating the Relationship between the Built Environment and Relative Risk of COVID-19 in Hong Kong. ISPRS International Journal of Geo-Information. 2020; 9(11):624. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9110624

Chicago/Turabian Style

Huang, Jianwei; Kwan, Mei-Po; Kan, Zihan; Wong, Man S.; Kwok, Coco Y.T.; Yu, Xinyu. 2020. "Investigating the Relationship between the Built Environment and Relative Risk of COVID-19 in Hong Kong" ISPRS Int. J. Geo-Inf. 9, no. 11: 624. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9110624

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