Journal article
High-income ZIP codes in New York City demonstrate higher case rates during off-peak COVID-19 waves
Frontiers in public health, v 12, 1384156
20 Jun 2024
PMID: 38966700
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Our study explores how New York City (NYC) communities of various socioeconomic strata were uniquely impacted by the COVID-19 pandemic.
New York City ZIP codes were stratified into three bins by median income: high-income, middle-income, and low-income. Case, hospitalization, and death rates obtained from NYCHealth were compared for the period between March 2020 and April 2022.
COVID-19 transmission rates among high-income populations during off-peak waves were higher than transmission rates among low-income populations. Hospitalization rates among low-income populations were higher during off-peak waves despite a lower transmission rate. Death rates during both off-peak and peak waves were higher for low-income ZIP codes.
This study presents evidence that while high-income areas had higher transmission rates during off-peak periods, low-income areas suffered greater adverse outcomes in terms of hospitalization and death rates. The importance of this study is that it focuses on the social inequalities that were amplified by the pandemic.
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Details
- Title
- High-income ZIP codes in New York City demonstrate higher case rates during off-peak COVID-19 waves
- Creators
- Steven T L Tung - Stony Brook SchoolMosammat M Perveen - University of PikevilleKirsten N Wohlars - Donald & Barbara Zucker School of Medicine at Hofstra/NorthwellRobert A Promisloff - Drexel UniversityMary F Lee-Wong - Maimonides Medical CenterAnthony M Szema - Donald & Barbara Zucker School of Medicine at Hofstra/Northwell
- Publication Details
- Frontiers in public health, v 12, 1384156
- Publisher
- Frontiers
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- College of Medicine
- Web of Science ID
- WOS:001261433700001
- Scopus ID
- 2-s2.0-85197791647
- Other Identifier
- 991021957139504721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Public, Environmental & Occupational Health