ArticleSustainable cities and society2021
Association of built environment attributes with the spread of COVID-19 at its initial stage in China.
Article in Sustainable cities and society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.
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Who cites it
45 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Effects of the built environment and human factors on the spread of COVID-19: A systematic literature review.The Science of the total environment · 2022Pooled it
- Methods Used in the Spatial and Spatiotemporal Analysis of COVID-19 Epidemiology: A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- TVISARS-CoV-2: a multicriteria index and urban dynamics in Minas Gerais, Brazil.Revista de saude publica · 2026Article
- Spatiotemporal dynamics and associated drivers of COVID-19 incidence in Nepal.Tropical medicine and health · 2025Article
- Pathogenic built environment? Reflections on modeling spatial determinants of health in urban settings considering the example of COVID-19 studies.Frontiers in public health · 2025Article
- Article
- Tokyo's COVID-19: An urban perspective on factors influencing infection rates in a global city.Sustainable cities and society · 2023Article
- Exploring the spatial pattern of community urban green spaces and COVID-19 risk in Wuhan based on a random forest model.Heliyon · 2023Article
- Spatial and deep learning analyses of urban recovery from the impacts of COVID-19.Scientific reports · 2023Article
- Assessment of Regional Health Resource Carrying Capacity and Security in Public Health Emergencies Based on the COVID-19 Outbreak.International journal of environmental research and public health · 2023Article
- The impact of built and socio-economic environment factors on Covid-19 transmission at the ZIP-code level in Florida.Journal of environmental management · 2023Article
- Advancing application of satellite remote sensing technologies for linking atmospheric and built environment to health.Frontiers in public health · 2023Review
- Measuring the effects of Compactness/Sprawl on COVID 19 spread patterns at the neighborhood level.Cities (London, England) · 2023Article
- Examining the Human Activity-Intensity Change at Different Stages of the COVID-19 Pandemic across Chinese Working, Residential and Entertainment Areas.International journal of environmental research and public health · 2022Article
- Article
- Do the determinants of COVID-19 transmission differ by epidemic wave? Evidence from U.S. counties.Cities (London, England) · 2022Article
- The relationship between the built environment and respiratory health: Evidence from a longitudinal study in Indonesia.SSM - population health · 2022Article
- Geographically weighted regression model for physical, social, and economic factors affecting the COVID-19 pandemic spreading.Environmental science and pollution research international · 2022Article
- Geographies of infections: built environment and COVID-19 pandemic in metropolitan Melbourne.Sustainable cities and society · 2022Article
- Correlation Analysis between Urban Elements and COVID-19 Transmission Using Social Media Data.International journal of environmental research and public health · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Evidence of the association of built environment (BE) attributes with the spread of COVID-19 remains limited. As an additional effort, this study regresses a ratio of accumulative confirmed infection cases at the city level in China on both inter-city and intra-city BE attributes. A mixed geographically weighted regression model was estimated to accommodate both local and global effects of BE attributes. It is found that spatial clusters are mostly related to low infections in 28.63 % of the cities. The density of point of interests around railway stations, travel time by public transport to activity centers, and the number of flights from Hubei Province are associated with the spread. On average, the most influential BE attribute is the number of trains from Hubei Province. Higher infection ratios are associated with higher values of between-ness centrality in 70.98 % of the cities. In 79.22 % of the cities, the percentage of the aging population shows a negative association. A positive association of the population density in built-up areas is found in 68.75 % of county-level cities. It is concluded that the countermeasures in China could have well reflected spatial heterogeneities, and the BE could be further improved to mitigate the impacts of future pandemics.
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