Evidence map›Paper›PMID 35747269›Full record

ArticleCities & health2021

Structurally vulnerable neighborhood environments and racial/ethnic COVID-19 inequities.

Rachel L Berkowitz, Xing Gao, Eli K Michaels, Mahasin S Mujahid

Open access · greenAbstract read
In one paragraph

Article in Cities & health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
28.3field-weighted citation impact, top 1% of its field
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

44 citing papers in PubMed, 94 citations in OpenAlex.

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  4. How Will AI Shape the Future of Pandemic Response? Early Clues From Data Analytics.Risk analysis : an official publication of the Society for Risk Analysis · 2025
    Review
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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

4 authors at 2 institutions in 1 country.

Rachel L BerkowitzDivision of Health Policy and Management, School of Public Health, University of California, Berkeley.ORCID 0000-0001-7643-7717
Xing GaoDivision of Epidemiology, School of Public Health, University of California, Berkeley.ORCID 0000-0002-4118-3152
Eli K MichaelsDivision of Epidemiology, School of Public Health, University of California, Berkeley.ORCID 0000-0001-9209-2560
Mahasin S MujahidDivision of Epidemiology, School of Public Health, University of California, Berkeley.ORCID 0000-0001-9795-9338
University of California, Berkeley · USSutter Health · US

Funding

COLLECTIVE RACIAL BIAS AND CARDIOVASCULAR RISK AMONG BLACK AND WHITE US ADULTSF31HL151284 · NHLBI · UNIVERSITY OF CALIFORNIA BERKELEY · PI MICHAELS, ELI · 2020 to 2022
$100k
NHLBI NIH HHS F31 HL151284
6 · The paper itself

Abstract

Preliminary evidence suggests that the experience of the novel coronavirus is not shared equally across geographic areas. Findings in the United States suggest that the burden of COVID-19 morbidity and mortality may be hardest felt in disadvantaged and racially segregated places. Deprived neighborhoods are disproportionately populated by people of color, the same populations that are becoming sicker and dying more often from COVID-19. This commentary examines how structurally vulnerable neighborhoods contribute to racial/ethnic inequities in SARS-COV-2 exposure and COVID-19 morbidity and mortality and considers opportunities to intervene through place-based initiatives and the implementation of a Health in All Policies strategy.

Indexed as

COVD-19neighborhoodsracial/ethnic health inequities

Identifiers

PMID35747269
PMCPMC9216191
OpenAlexW3045937803

What OpenQuestion holds

Textmetadata
LicenceTDM
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.