Evidence map›Paper›PMID 33181262›Full record

ArticleAnnals of epidemiology2021

Coronavirus disease 2019 (COVID-19) mortality and neighborhood characteristics in Chicago.

Molly Scannell Bryan, Jiehuan Sun, Jyotsna Jagai, Daniel E Horton, Anastasia Montgomery, Robert Sargis, Maria Argos

Abstract read
In one paragraph

Article in Annals of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 3 pooled it
–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

58 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  10. Social determinants of health and COVID-19 recovery after inpatient rehabilitation.PM & R : the journal of injury, function, and rehabilitation · 2024
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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

7 authors.

Molly Scannell BryanDepartment of Medicine, Institute for Minority Health Research, University of Illinois at Chicago, Chicago. Electronic address: scannemo@uic.edu.
Jiehuan SunSchool of Public Health, University of Illinois at Chicago, Chicago.
Jyotsna JagaiSchool of Public Health, University of Illinois at Chicago, Chicago.
Daniel E HortonDepartment of Earth and Planetary Sciences and Institute for Sustainability and Energy, Northwestern University, Chicago, IL.
Anastasia MontgomeryDepartment of Earth and Planetary Sciences and Institute for Sustainability and Energy, Northwestern University, Chicago, IL.
Robert SargisDepartment of Medicine, University of Illinois at Chicago, Chicago.
Maria ArgosSchool of Public Health, University of Illinois at Chicago, Chicago.

Funding

Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
NIEHS NIH HHS P30 ES027792
6 · The paper itself

Abstract

purposeTo describe coronavirus disease 2019 (COVID-19) mortality in Chicago during the spring of 2020 and identify at the census-tract level neighborhood characteristics that were associated with higher COVID-19 mortality rates.

methodsUsing Poisson regression and regularized linear regression (elastic net), we evaluated the association between neighborhood characteristics and COVID-19 mortality rates in Chicago through July 22 (2514 deaths across 795 populated census tracts).

resultsBlack residents (31% of the population) accounted for 42% of COVID-19 deaths. Deaths among Hispanic/Latino residents occurred at a younger age (63 years, compared with 71 for white residents). Regarding residential setting, 52% of deaths among white residents occurred inside nursing homes, compared with 35% of deaths among black residents and 17% among Hispanic/Latino residents. Higher COVID-19 mortality was seen in neighborhoods with heightened barriers to social distancing and low health insurance coverage. Neighborhoods with a higher percentage of white and Asian residents had lower COVID-19 mortality. The associations differed by race, suggesting that neighborhood context may be most tightly linked to COVID-19 mortality among white residents.

conclusionsWe describe communities that may benefit from supportive services and identify traits of communities that may benefit from targeted campaigns for prevention and testing to prevent future deaths from COVID-19.

Indexed as

Residence CharacteristicsAgedAged, 80 and overChicagoCOVID-19FemaleHumansMaleMiddle AgedBuilt environmentCOVID-19Health disparitiesPreventionSocial determinants of health

Identifiers

PMID33181262
PMCPMC7678719

What OpenQuestion holds

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Registered trials

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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.