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A risk index for COVID-19 severity is associated with COVID-19 mortality in New York City.
Lieberman-Cribbin, Wil; Alpert, Naomi; Flores, Raja; Taioli, Emanuela.
  • Lieberman-Cribbin W; Institute for Translational Epidemiology and Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1133, New York, NY, 10029, USA.
  • Alpert N; Institute for Translational Epidemiology and Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1133, New York, NY, 10029, USA.
  • Flores R; Department of Thoracic Surgery, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1023, New York, NY, 10029, USA.
  • Taioli E; Institute for Translational Epidemiology and Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1133, New York, NY, 10029, USA. emanuela.taioli@mountsinai.org.
BMC Public Health ; 21(1): 1452, 2021 07 24.
Article in English | MEDLINE | ID: covidwho-1322931
ABSTRACT

BACKGROUND:

New 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.

METHODS:

A 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.

RESULTS:

The COVID-19 death rate per 100,000 persons significantly decreased with the increasing proportion of white residents (ßadj = - 0.91, SE = 0.31, p = 0.0037), while the increasing proportion of Hispanic residents (ßadj = 0.90, SE = 0.38, p = 0.0200), median age (ßadj = 3.45, SE = 1.74, p = 0.0489), and COVID-19 severity risk index (ßadj = 5.84, SE = 0.82, p <  0.001) were statistically significantly positively associated with death rates.

CONCLUSIONS:

Disparities 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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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: North America Language: English Journal: BMC Public Health Journal subject: Public Health Year: 2021 Document Type: Article Affiliation country: S12889-021-11498-x

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: North America Language: English Journal: BMC Public Health Journal subject: Public Health Year: 2021 Document Type: Article Affiliation country: S12889-021-11498-x