Evidence map›Paper›PMID 36730260›Full record

ArticlePloS one2023

Race, employment, and the pandemic: An exploration of covariate explanations of COVID-19 case fatality rate variance.

Christopher Griffin, Ray Block, Justin D Silverman, Jason Croad, Robert P Lennon

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Changes in caregiver mental health and pediatric asthma control during COVID-19.The Journal of asthma : official journal of the Association for the Care of Asthma · 2023
    Trial
  2. 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

5 authors at 3 institutions in 1 country.

Christopher GriffinApplied Research Laboratory, Pen State University, University Park, State College, PA, United States of America.ORCID 0000-0002-9962-9540
Ray BlockDepartments of Political Science and African American Studies, Penn State University, University Park, State College, PA, United States of America.ORCID 0000-0003-2062-6417
Justin D SilvermanCollege of Information Science and Technology, Penn State University, University Park, State College, PA, United States of America.
Jason CroadDepartment of Family and Community Medicine, Penn State College of Medicine, Hershey, PA, United States of America.
Robert P LennonDepartment of Family and Community Medicine, Penn State College of Medicine, Hershey, PA, United States of America.ORCID 0000-0003-0973-5890
Penn State Milton S. Hershey Medical Center · USPennsylvania State University · USApplied Research Laboratory at the University of Hawai‘i

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We derive a simple asymptotic approximation for the long-run case fatality rate of COVID-19 (alpha and delta variants) and show that these estimations are highly correlated to the interaction between US State median age and projected US unemployment rate (Adj. r2 = 60%). We contrast this to the high level of correlation between point (instantaneous) estimates of per state case fatality rates and the interaction of median age, population density and current unemployment rates (Adj. r2 = 50.2%). To determine whether this is caused by a "race effect," we then analyze unemployment, race, median age and population density across US states and show that adding the interaction of African American population and unemployment explains 53.5% of the variance in COVID case fatality rates for the alpha and delta variants when considering instantaneous case fatality rate. Interestingly, when the asymptotic case fatality rate is used, the dependence on the African American population disappears, which is consistent with the fact that in the long-run COVID does not discriminate on race, but may discriminate on access to medical care which is highly correlated to employment in the US. The results provide further evidence of the impact inequality can have on case fatality rates in COVID-19 and the impact complex social, health and economic factors can have on patient survival.

Indexed as

COVID-19EmploymentHumansPandemicsSARS-CoV-2

Identifiers

PMID36730260
PMCPMC9894486
OpenAlexW4318923630

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.