Evidence map›Paper›PMID 38270307›Full record

ArticleImmunity, inflammation and disease2024

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

Masha Kolesnikova, Haram Abdelmajid, Stephan Kohlhoff, Tamar A Smith-Norowitz

Abstract read
In one paragraph

Article in Immunity, inflammation and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Masha KolesnikovaDepartment of Pediatrics, Division of Infectious Diseases, State University of New York Downstate Health Sciences University, Brooklyn, New York, USA.ORCID 0000-0001-7803-9632
Haram AbdelmajidDepartment of Pediatrics, Division of Infectious Diseases, State University of New York Downstate Health Sciences University, Brooklyn, New York, USA.
Stephan KohlhoffDepartment of Pediatrics, Division of Infectious Diseases, State University of New York Downstate Health Sciences University, Brooklyn, New York, USA.
Tamar A Smith-NorowitzDepartment of Pediatrics, Division of Infectious Diseases, State University of New York Downstate Health Sciences University, Brooklyn, New York, USA.ORCID 0000-0002-8204-6728

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

COVID-19HospitalizationHumansSocial Determinants of HealthCoronavirus disease-2019death rateshospitalization ratesNew Yorksocial determinants of healthStaten Island

Identifiers

PMID38270307
PMCPMC10797650

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.