ArticleUrban studies (Edinburgh, Scotland)2023
Spatialising urban health vulnerability: An analysisof NYC's critical infrastructure during COVID-19.
Article in Urban studies (Edinburgh, Scotland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 24 citations in OpenAlex.
- The impact of temperature changes on the health vulnerability of migrant workers: an empirical study based on the China family panel studies.Frontiers in public health · 2025Article
- Urban public health emergencies and the COVID-19 pandemic. Part 2: Infrastructures, urban governance and civil society.Urban studies (Edinburgh, Scotland) · 2023Article
- Planning for social distancing: How the legacy of historical epidemics shaped COVID-19's spread in Madrid.Urban studies (Edinburgh, Scotland) · 2023Article
- Population density and SARS-CoV-2 pandemic: Comparing the geography of different waves in the Netherlands.Urban studies (Edinburgh, Scotland) · 2023Article
- The lockdown, mobility, and spatial health disparities in COVID-19 pandemic: A case study of New York City.Cities (London, England) · 2022Article
- General Commentary: Whether Urbanization Has Intensified the Spread of Infectious Diseases-Renewed Question by the COVID-19 Pandemic: Urban Density and COVID-19: Correlation Between Densification, Unhealthy Urban Conditions, and the Spread of Infectious Diseases.Frontiers in public health · 2022Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper examines how fragmentation of critical infrastructure impacts the spread of the coronavirus outbreak in New York City at the neighbourhood level. The location of transportation hubs, grocery stores, pharmacies, hospitals and parks plays an important role in shaping spatial disparities in virus spread. Using supervised machine learning and spatial regression modelling we examine how the geography of COVID-19 case rates is influenced by the spatial arrangement of four critical sectors of the built environment during the public health emergency in New York City: health care facilities, mobility networks, food and nutrition and open space. Our models suggest that an analysis of urban health vulnerability is incomplete without the inclusion of critical infrastructure metrics in dense urban geographies. Our findings show that COVID-19 risk at the zip code level is influenced by (1) socio-demographic vulnerability, (2) epidemiological risk, and (3) availability and access to critical infrastructure.
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