Evidence map›Paper›PMID 36348182›Full record

ArticleJournal of racial and ethnic health disparities2023

Structural Inequality and COVID-19 Mortality in Chicago: An Ecological Analysis.

Evelyn J Patterson, Lallen T Johnson

Abstract read
In one paragraph

Article in Journal of racial and ethnic health disparities, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

2 authors.

Evelyn J PattersonDepartment of Sociology, Vanderbilt University, Nashville, TN, USA. evelyn.patterson@vanderbilt.edu.ORCID 0000-0002-8701-9665
Lallen T JohnsonSchool of Public Affairs, American University, Washington, DC, USA.ORCID 0000-0001-9753-0486

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrior studies establish that Black neighborhoods and older persons experience higher rates of COVID-19 death than white neighborhoods and younger persons. However, such works point to the effect of age on COVID-19 mortality and the racial and ethnic inequalities present in COVID-19 deaths as independent vectors of inequality, neglecting to consider the multiplicative impact of structural conditions.

methodsUsing weekly ZIP code counts of deaths from March 2020 through July 2021 from the Chicago Department of Public Health (n = 4168) and measures of structural characteristics derived from the 5-year estimates of the 2019 American Community Survey, the current study examined how place, racial composition, and the age structure of communities act in tandem to shape the number of deaths due to COVID-19. We used STATA to estimate negative binomial models predictive of COVID-19 mortality.

resultsFindings from our statistical analysis revealed that in predominately Black neighborhoods, racial composition amplified the association of age structure (65 +) on COVID-19 mortality by 40%. Neighborhoods that were not predominately black did not show this multiplicative risk of death. Our findings underscore that the elevated risk of death in in older Black communities is attributed to historic and contemporary structural inequality.

conclusionsAlthough society typically frames pandemics as natural disasters, doing such undermines dimensions of marginalization that amplify vulnerability among select populations. To begin eliminating such inequalities, the USA must deal with the entrenched limitations of institutions that render unequal attention and care to sectors of its population.

Indexed as

COVID-19Health Status DisparitiesAgedAged, 80 and overBlack or African AmericanChicagoHumansPandemicsPublic HealthCOVID-19 pandemicMortalityRacial disparitiesStructural inequality

Identifiers

PMID36348182
PMCPMC9643901

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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.