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Assessing New York City’s Covid-19 Vaccine Rollout Strategy

A Case for Risk-Informed Distribution

Bibliographic Data

ID12473783
AuthorsNina Schwalbe (0000-0002-4126-3435, University of the Witwatersrand, corresponding author), Marta C Nunes (0000-0003-3788-878X, Centre National de la Recherche Scientifique), Clare Cutland (0000-0001-8250-8307, University of the Witwatersrand), Brian Wahl (0000-0002-0037-7364, Johns Hopkins University), Daniel Reidpath, Daniel D Reidpath (0000-0002-8796-0420, Monash University)
Year2024
Volume101
Issue5
Pages923-933
Publication date2024-04-05
Open AccessYes
TypeARTICLE
VenueJournal of Urban Health (JOURNAL)
Journal identifiersISSN: 1099-3460 • E-ISSN: 1468-2869
PublisherSpringer Science+Business Media (PUBLISHER • DE)
DOI10.1007/s11524-024-00853-z
PMID38578336
OpenAlexW4393994041
LanguageEN
References cited14

This study reviews the impact of eligibility policies in the early rollout of the COVID-19 vaccine on coverage and probable outcomes, with a focus on New York City. We conducted a retrospective ecological study assessing age 65+, area-level income, vaccination coverage, and COVID-19 mortality rates, using linked Census Bureau data and New York City Health administrative data aggregated at the level of modified zip code tabulation areas (MODZCTA). The population for this study was all individuals in 177 MODZCTA in New York City. Population data were obtained from Census Bureau and New York City Health administrative data. The total mortality rate was examined through an ordinary least squares (OLS) regression model, using area-level wealth, the proportion of the population aged 65 and above, and the vaccination rate among this age group as predictors. Low-income areas with high proportions of older people demonstrated lower coverage rates (mean vaccination rate 52.8%; maximum coverage 67.9%) than wealthier areas (mean vaccination rate 74.6%; maximum coverage 99% in the wealthiest quintile) in the first 3 months of vaccine rollout and higher mortality over the year. Despite vaccine shortages, many younger people accessed vaccines ahead of schedule, particularly in high-income areas (mean coverage rate 60% among those 45-64 years in the wealthiest quintile). A vaccine program that prioritized those at greatest risk of COVID-19-associated morbidity and mortality would have prevented more deaths than the strategy that was implemented. When rolling out a new vaccine, policymakers must account for local contexts and conditions of high-risk population groups. If New York had focused limited vaccine supply on low-income areas with high proportions of residents 65 or older, overall mortality might have been lower

Census · Economics · Environmental health · Geography · Mortality rate · Ordinary least squares · Population · Vaccination · COVID-19 epidemiological studies · Demography · Healthcare Policy and Management · Medicine · Vaccine Coverage and Hesitancy · Virology

  • Spatial Econometrics

    Open Access•Luc Anselin•Spatial Econometrics•1988

  • Precision Public Health for the Era of Precision Medicine

    Open Access•Muin J Khoury, Michael F Iademarco et al.•American Journal of Preventive…•2016

  • The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement

    Open Access•Erik Von Elm, David G Altman et al.•Annals of Internal Medicine•2007

  • Covid-19 mortality and deprivation

    Open Access•Victoria J Mcgowan, Clare Bambra•The Lancet Public Health•2022

  • Income inequality and Covid-19 mortality

    Open Access•Edgardo R Sepulveda, Ann-Sylvia Brooker•SSM - Population Health•2021

  • Covid-19 mortality risk for older men and women

    Open Access•N David Yanez, Noel S Weiss et al.•BMC Public Health•2020

  • Economic Inequality and Covid-19 Deaths and Cases in the First Wave

    James Davies, James B Davies•Canadian Public Policy•2021

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