ArticleTransactions in GIS : TG2021
Comparing the space-time patterns of high-risk areas in different waves of COVID-19 in Hong Kong.
Article in Transactions in GIS : TG, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Exploration of spatiotemporal heterogeneity and socio-demographic determinants on COVID-19 incidence rates in Sarawak, Malaysia.BMC public health · 2023Article
- An overview of urban analytical approaches to combating the Covid-19 pandemic.Environment and planning. B, urban analytics and city science · 2023Article
- Spatial variations of the third and fourth COVID-19 waves in Hong Kong: A comparative study using built environment and socio-demographic characteristics.Environment and planning. B, urban analytics and city science · 2023Article
- Associations between COVID-19 risk, multiple environmental exposures, and housing conditions: A study using individual-level GPS-based real-time sensing data.Applied geography (Sevenoaks, England) · 2023Article
- Exploration of the COVID-19 pandemic at the neighborhood level in an intra-urban setting.Frontiers in public health · 2023Article
- Can continued anti-epidemic measures help post-COVID-19 public transport recovery? Evidence from Taiwan.Journal of transport & health · 2022Article
- Examining the Influence of Housing Conditions and Daily Greenspace Exposure on People's Perceived COVID-19 Risk and Distress.International journal of environmental research and public health · 2022Article
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- Comparing the space-time patterns of high-risk areas in different waves of COVID-19 in Hong Kong.Transactions in GIS : TG · 2021Article
- The superspreading places of COVID-19 and the associated built-environment and socio-demographic features: A study using a spatial network framework and individual-level activity data.Health & place · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study compares the space-time patterns and characteristics of high-risk areas of COVID-19 transmission in Hong Kong between January 23 and April 14 (the first and second waves) and between July 6 and August 29 (the third wave). Using space-time scan statistics and the contact tracing data of individual confirmed cases, we detect the clusters of residences of, and places visited by, both imported and local cases. We also identify the built-environment and demographic characteristics of the high-risk areas during different waves of COVID-19. We find considerable differences in the space-time patterns and characteristics of high-risk residential areas between waves. However, venues and buildings visited by the confirmed cases in different waves have similar characteristics. The results can inform policymakers to target mitigation measures in high-risk areas and at vulnerable groups, and provide guidance to the public to avoid visiting and conducting activities at high-risk places.
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Registered trials
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