Authors: Zihan Kan*, The Chinese University of Hong Kong, Mei-Po Kwan, The Chinese University of Hong Kong
Topics: Geography and Urban Health, Environmental Science
Keywords: COVID-19, transmission risk, spatial context, activities
Session Type: Virtual Paper
Start / End Time: 8:00 AM / 9:15 AM
Room: Virtual 16
Presentation File: No File Uploaded
Identifying the space-time patterns of areas with a higher risk of transmission and the associated built environment and demographic characteristics during the COVID-19 pandemic is critical for developing targeted intervention measures in respond to the pandemic. In this study, we detect statistically significant space-time clusters of COVID-19 in Hong Kong between January 23 and April 14, 2020. Two types of high-risk areas are identified (residences and placed visited by confirmed cases), considering two groups of cases (imported and local cases). We further examine the demographic and built-environment characteristics for the identified high-risk areas. The results indicate that high transport accessibility, dense and high-rise buildings, higher density of commercial land and higher land-use mix are associated with a higher risk for places visited by confirmed cases. More green spaces, higher median household income, lower commercial land density are linked to a higher risk for the residences of confirmed cases. The results in this study not only can inform policy makers to improve resource allocation and intervention strategies but also can provide guidance to the public to avoid conducting high-risk activities and visiting high-risk places.