Neighborhood disparities in COVID-19 outcomes in New York city over the first two waves of the outbreak

Zhong, Xiaobo; Zhang, Zhou; Li, Guohua; Kwizera, Muhire; Chen, Qixuan

doi:10.1016/j.annepidem.2022.04.008

Cited by 12 publications

(7 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…91% (86 of 95) of the studies 20 , 21 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 , 82 , 83 , 84 , 85 , 86 , 87 , 88 , 89 , 90 , 91 , 92 , 93 , 94 , 95 , 96 , 97 , 98 , 99 , 100 , 101 , 102 , 103 , 104 , 105 , 106 , 107 , 108 , ...…”

Section: Covid-19 Mortality and Deprivationunclassified

“…72 studies were from the WHO region of the Americas, of which 55 studies 20 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 , 82 , 83 , 84 , 85 , 86 , 87 , 88 , 89 , 90 , 91 , 92 , 127 , 129 , 130 were from the USA. 52 of the US studies showed that COVID-19 mortality rates were higher in areas of social disadvantage than in affluent areas.…”

Section: Covid-19 Mortality and Deprivationmentioning

confidence: 99%

See 1 more Smart Citation

COVID-19 mortality and deprivation: pandemic, syndemic, and endemic health inequalities

McGowan¹,

Bambra²

2022

The Lancet Public Health

135

View full text Add to dashboard Cite

Section: Covid-19 Mortality and Deprivationunclassified

Section: Covid-19 Mortality and Deprivationmentioning

confidence: 99%

COVID-19 mortality and deprivation: pandemic, syndemic, and endemic health inequalities

McGowan¹,

Bambra²

2022

The Lancet Public Health

135

View full text Add to dashboard Cite

“…Different zip codes within Staten Island demonstrated higher case rates, most probably due to the different variations of SDH 10,15,16 or exposure to disinformation about the disease in Staten Island 18 . Higher ethnic variability, access to quality medical care, life style, and comorbidities are possible factors in variability in COVID‐19 outcomes within each borough 19 . Future planning for similar pandemics should prepare for interventions targeting the most vulnerable populations and neighborhoods within each borough.…”

Section: Discussionmentioning

confidence: 99%

“…18 Higher ethnic variability, access to quality medical care, life style, and comorbidities are possible factors in variability in COVID-19 outcomes within each borough. 19 Future planning for similar pandemics should prepare for interventions targeting the most vulnerable populations and neighborhoods within each borough.…”

Section: Author Contributionsmentioning

confidence: 99%

See 1 more Smart Citation

Social determinants of health disparities in Staten Island compared with Manhattan, Queens, Brooklyn, and the Bronx: Contribution to COVID‐19 outcomes

Kolesnikova,

Abdelmajid,

Kohlhoff

et al. 2024

Immunity Inflam & Disease

View full text Add to dashboard Cite

IntroductionSocial determinants of health (SDH) negatively affected Coronavirus disease‐2019 (COVID‐19) outcomes within the five boroughs of New York City. The goal of this study was to determine whether differences in social demographics within the borough of Staten Island, compared with the other four boroughs, may have contributed to poor COVID‐19 outcomes in Staten Island.MethodsData were obtained from public data sources. Social demographics obtained included age, household income, poverty status, and education level. COVID‐19 infection, hospitalization, and death rates reported from Staten Island were compared with rates from Manhattan, Queens, Brooklyn, and the Bronx (February 29, 2020–October 31, 2022). Mean differences in case rates of COVID‐19 were higher in Staten Island compared to all four boroughs.ResultsMean differences in hospitalization and death rates were higher than Manhattan but similar to the other four boroughs. Within Staten Island, case rates were highest in zip codes 10306 and 10309. Hospitalization and death rates were highest in Staten Island zip code 10304. We found that the zip codes of Staten Island with poorer COVID‐19 outcomes had more individuals with less than a high school degree, lower mean household income, higher proportion of households earning less than $25,000 a year, and a greater proportion of individuals using public transportation.ConclusionDifferences in COVID‐19 infection, hospitalization, and death rates exist between the five boroughs and between the 12 zip codes within Staten Island. These differences in COVID‐19 outcomes can be attributed to different SDH.

show abstract

Assessing New York City’s COVID-19 Vaccine Rollout Strategy: A Case for Risk-Informed Distribution

Schwalbe,

Nunes,

Cutland

et al. 2024

J Urban Health

View full text Add to dashboard Cite

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.

show abstract

Neighborhood disparities in COVID-19 outcomes in New York city over the first two waves of the outbreak

Cited by 12 publications

References 27 publications

COVID-19 mortality and deprivation: pandemic, syndemic, and endemic health inequalities

COVID-19 mortality and deprivation: pandemic, syndemic, and endemic health inequalities

Social determinants of health disparities in Staten Island compared with Manhattan, Queens, Brooklyn, and the Bronx: Contribution to COVID‐19 outcomes

Assessing New York City’s COVID-19 Vaccine Rollout Strategy: A Case for Risk-Informed Distribution

Contact Info

Product

Resources

About