ArticleApplied geography (Sevenoaks, England)2021
Mapping the geodemographics of racial, economic, health, and COVID-19 deaths inequalities in the conterminous US.
Article in Applied geography (Sevenoaks, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The trial behind it
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Who cites it
10 citing papers in PubMed.
- Equity in Wastewater Surveillance: Assessment of the National Wastewater Surveillance System for COVID-19.AJPM focus · 2026Article
- Consideration of Cardiovascular Morbidities in the Relationship between Ambient Air Pollution Exposure and Individual-Level Adverse COVID-19 Outcomes: A Systematic Review.Current epidemiology reports · 2025Article
- Article
- Inequity in Washington state covid-19-related crowdfunding.Social sciences & humanities open · 2024Article
- Structural change and spatial pattern of intentional travel groups: A case study of metro riders in Hong Kong.Applied geography (Sevenoaks, England) · 2023Article
- The impact of urban spatial environment on COVID-19: a case study in Beijing.Frontiers in public health · 2023Article
- COVID-19 mortality and deprivation: pandemic, syndemic, and endemic health inequalities.The Lancet. Public health · 2022Review
- A machine learning-driven spatio-temporal vulnerability appraisal based on socio-economic data for COVID-19 impact prevention in the U.S. counties.Sustainable cities and society · 2022Article
- Exploring the socioeconomic drivers of COVID-19 mortality across various spatial regimes.The Geographical journal · 2022Article
- Ranking the importance of demographic, socioeconomic, and underlying health factors on US COVID-19 deaths: A geographical random forest approach.Health & place · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A large number of studies have examined individual-level factors that increase COVID-19 fatalities. However, no research has focused on the geodemographic classification of the most susceptible communities to COVID-19. In this cross-sectional ecological study, we used local fuzzy geographically-weighted clustering to create the socioeconomic profile of the US counties in relation to COVID-19 death rates. We demonstrate that living in a county which has households with lower income, people with a lack of health insurance, a high African-American percentage, and lower education level, lead to 27.12% higher COVID-19 death rates than the national median, and 72.56% higher compared to the least vulnerable counties. Compared to counties with a high COVID-19 death rate, counties with a low COVID-19 death rate have 44.90% higher annual median household income and nearly double house worth (89.51% more). Results show that the effects of the COVID-19 pandemic are not universal and that the minoritised and impoverished populations suffer more. Our analysis can effectively pinpoint the most vulnerable counties and importantly allows for understanding the socioeconomic context in which tailored interventions can be applied to mitigate COVID-19 deaths.
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Registered trials
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