Death at an Early Age: AIDS and Related Mortality in New York City

Abstract SARS-CoV-2-related mortality and hospitalizations differ substantially between New York City neighborhoods. Mitigation efforts require knowing the extent to which these disparities reflect differences in prevalence and understanding the associated drivers. Here, we report the prevalence of SARS-CoV-2 in New York City boroughs inferred using tests administered to 1,746 pregnant women hospitalized for delivery between March 22nd and May 3rd, 2020. We also assess the relationship between prevalence and commuting-style movements into and out of each borough. Prevalence ranged from 11.3% (95% credible interval [8.9%, 13.9%]) in Manhattan to 26.0% (15.3%, 38.9%) in South Queens, with an estimated city-wide prevalence of 15.6% (13.9%, 17.4%). Prevalence was lowest in boroughs with the greatest reductions in morning movements out of and evening movements into the borough (Pearson R = −0.88 [−0.52, −0.99]). Widespread testing is needed to further specify disparities in prevalence and assess the risk of future outbreaks.

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Towards More Comprehensive Projections of Urban Heat-Related Mortality: Estimates for New York City under Multiple Population, Adaptation, and Climate Scenarios

Environmental Health Perspectives ◽

10.1289/ehp166 ◽

2017 ◽

Vol 125 (1) ◽

pp. 47-55 ◽

Cited By ~ 36

Author(s):

Elisaveta P. Petkova ◽

Jan K. Vink ◽

Radley M. Horton ◽

Antonio Gasparrini ◽

Daniel A. Bader ◽

...

Keyword(s):

New York ◽

New York City ◽

York City ◽

Climate Scenarios ◽

Urban Heat ◽

Multiple Population ◽

Mortality Estimates ◽

Related Mortality ◽

Population Adaptation

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Assessing Electronic Death Registration and American Red Cross Systems for Mortality Surveillance During Hurricane Sandy, October 29–November 10, 2012, New York City

Disaster Medicine and Public Health Preparedness ◽

10.1017/dmp.2014.133 ◽

2014 ◽

Vol 8 (6) ◽

pp. 489-491 ◽

Cited By ~ 3

Author(s):

Renata E. Howland ◽

Ann M. Madsen ◽

Leze Nicaj ◽

Rebecca S. Noe ◽

Mary Casey-Lockyer ◽

...

Keyword(s):

Public Health ◽

New York ◽

New York City ◽

York City ◽

Hurricane Sandy ◽

Red Cross ◽

American Red Cross ◽

Death Registration ◽

Mortality Surveillance ◽

Related Mortality

AbstractObjectiveWe briefly describe 2 systems that provided disaster-related mortality surveillance during and after Hurricane Sandy in New York City, namely, the New York City Health Department Electronic Death Registration System (EDRS) and the American Red Cross paper-based tracking system.MethodsRed Cross fatality data were linked with New York City EDRS records by using decedent name and date of birth. We analyzed cases identified by both systems for completeness and agreement across selected variables and the time interval between death and reporting in the system.ResultsRed Cross captured 93% (41/44) of all Sandy-related deaths; the completeness and quality varied by item, and timeliness was difficult to determine. The circumstances leading to death captured by Red Cross were particularly useful for identifying reasons individuals stayed in evacuation zones. EDRS variables were nearly 100% complete, and the median interval between date of death and reporting was 6 days (range: 0-43 days).ConclusionsOur findings indicate that a number of steps have the potential to improve disaster-related mortality surveillance, including updating Red Cross surveillance forms and electronic databases to enhance timeliness assessments, greater collaboration across agencies to share and use data for public health preparedness, and continued expansion of electronic death registration systems. (Disaster Med Public Health Preparedness. 2014;8:489-491)

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Neighborhood-level disparities and subway utilization during the COVID-19 pandemic in New York City

Nature Communications ◽

10.1038/s41467-021-24088-7 ◽

2021 ◽

Vol 12 (1) ◽

Author(s):

Daniel Carrión ◽

Elena Colicino ◽

Nicolo Foppa Pedretti ◽

Kodi B. Arfer ◽

Johnathan Rush ◽

...

Keyword(s):

New York ◽

New York City ◽

York City ◽

Open Data ◽

Positive Association ◽

Census Bureau ◽

Social Disadvantage ◽

Communities Of Color ◽

Testing Data ◽

Related Mortality

AbstractThe COVID-19 pandemic has yielded disproportionate impacts on communities of color in New York City (NYC). Researchers have noted that social disadvantage may result in limited capacity to socially distance, and consequent disparities. We investigate the association between neighborhood social disadvantage and the ability to socially distance, infections, and mortality in Spring 2020. We combine Census Bureau and NYC open data with SARS-CoV-2 testing data using supervised dimensionality-reduction with Bayesian Weighted Quantile Sums regression. The result is a ZIP code-level index with weighted social factors associated with infection risk. We find a positive association between neighborhood social disadvantage and infections, adjusting for the number of tests administered. Neighborhood disadvantage is also associated with a proxy of the capacity to socially isolate, NYC subway usage data. Finally, our index is associated with COVID-19-related mortality.

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