ArticleBMC public health2021
A risk index for COVID-19 severity is associated with COVID-19 mortality in New York City.
Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Deep disadvantage in mortality on the frontlines of the COVID-19 pandemic.Scientific reports · 2026Article
- Spatial Variation in COVID-19 Mortality in New York City and Its Association with Neighborhood Race, Ethnicity, and Nativity Status.International journal of environmental research and public health · 2023Article
- Individual Factors Influencing the Public's Perceptions About the Importance of COVID-19 Immunity Certificates in the United Kingdom: Cross-sectional Web-based Questionnaire Survey.JMIR formative research · 2023Article
- Building local decision-making competencies during COVID-19: Accelerating the transition from learning healthcare systems to learning health communities.Learning health systems · 2023Article
- Article
- Socio-economic analysis of short-term trends of COVID-19: modeling and data analytics.BMC public health · 2022Article
- Assessing influenza vaccination success to inform COVID-19 vaccination campaign.Journal of medical virology · 2022Article
- Analyzing disparities in COVID-19 testing trends according to risk for COVID-19 severity across New York City.BMC public health · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNew York City (NYC) was the epicenter of the COVID-19 pandemic, and is home to underserved populations with higher prevalence of chronic conditions that put them in danger of more serious infection. Little is known about how the presence of chronic risk factors correlates with mortality at the population level. Here we determine the relationship between these factors and COVD-19 mortality in NYC.
methodsA cross-sectional study of mortality data obtained from the NYC Coronavirus data repository (03/02/2020-07/06/2020) and the prevalence of neighborhood-level risk factors for COVID-19 severity was performed. A risk index was created based on the CDC criteria for risk of severe illness and complications from COVID-19, and stepwise linear regression was implemented to predict the COVID-19 mortality rate across NYC zip code tabulation areas (ZCTAs) utilizing the risk index, median age, socioeconomic status index, and the racial and Hispanic composition at the ZCTA-level as predictors.
resultsThe COVID-19 death rate per 100,000 persons significantly decreased with the increasing proportion of white residents (β
conclusionsDisparities in COVID-19 mortality exist across NYC and these vulnerable areas require increased attention, including repeated and widespread testing, to minimize the threat of serious illness and mortality.
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