Paper Info
Title
Investigating The Relationship Between The Built Environment And Relative Risk Of Covid-19 In Hong Kong
Abstract
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.
Year
DOI
Venue
2020
10.3390/ijgi9110624
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
Keywords
DocType
Volume
risk of COVID-19, built environment, global Poisson regression, geographically weighted Poisson regression
Journal
9
Issue
Citations 
PageRank 
11
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Jianwei Huang13643260.73
Mei-Po Kwan233645.13
Zihan Kan301.35
Man Sing Wong42011.83
Coco Yin Tung Kwok500.34
Xinyu Yu600.34