Evidence map›Paper›PMID 41069821›Full record

ArticleFrontiers in public health2025

Association of race, ethnicity, and housing stability with COVID-19 testing method by investigators in underserved populations 2020-2023.

Edwin Wilbur Woodhouse, Timothy Veldman, Elizabeth Lydon, Lisa Wruck, Elizabeth Petzold, Paul Drain, Eyal Oren, Susan M Kiene, Corinne McDaniels-Davidson, Lisa Gwynn and 6 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Edwin Wilbur WoodhouseDivision of Infectious Diseases, Duke University School of Medicine, Durham, NC, United States.
Timothy VeldmanDivision of Infectious Diseases, Duke University School of Medicine, Durham, NC, United States.
Elizabeth LydonDuke Clinical Research Institute, Durham, NC, United States.
Lisa WruckDuke Clinical Research Institute, Durham, NC, United States.
Elizabeth PetzoldDivision of Infectious Diseases, Duke University School of Medicine, Durham, NC, United States.
Paul DrainDepartments of Global Health, Medicine, Epidemiology, University of Washington, Seattle, WA, United States.
Eyal OrenDivision of Epidemiology and Biostatistics, San Diego State University, San Diego, CA, United States.
Susan M KieneDivision of Epidemiology and Biostatistics, San Diego State University, San Diego, CA, United States.
Corinne McDaniels-DavidsonSchool of Public Health, San Diego State University, San Diego, CA, United States.
Lisa GwynnMiller School of Medicine, University of Miami, Miami, FL, United States.
Krista M PerreiraDepartment of Social Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Barrie HarperDuke Clinical Research Institute, Durham, NC, United States.
L Gayani TillekeratneDivision of Infectious Diseases, Duke University School of Medicine, Durham, NC, United States.
Susanna NaggieDivision of Infectious Diseases, Duke University School of Medicine, Durham, NC, United States.
Micah T McClainDivision of Infectious Diseases, Duke University School of Medicine, Durham, NC, United States.
Christopher W WoodsDivision of Infectious Diseases, Duke University School of Medicine, Durham, NC, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Expanding SARS-CoV-2 testing was a critical part of community-based health efforts during the COVID-19 pandemic. In the RADx-UP consortium, a large NIH-funded network of community-engaged researchers in the United States, investigators were able to choose between PCR- and antigen-based testing strategies in community-based research settings. Data analyzing how COVID-19 diagnostics are chosen and utilized in research of vulnerable and underserved populations is limited. Objectives: To examine the association of race, ethnicity, and housing stability with a PCR- or antigen-based testing strategy within COVID-19 testing projects in the RADx-UP consortium. Methods: Testing protocols and investigator survey data describing target populations for community-engaged research projects were analyzed for association between race, ethnicity, and housing stability with SARS-CoV-2 test type. Community-engaged research projects were included if they were funded and approved to use PCR- and/or antigen-based COVID-19 testing by the RADx-UP testing core between 2020 and 2023. Multivariable adjustment to assess for confounding was then performed using rurality, project size, pandemic phase, and census region. Results: Sixty-seven projects (representing 479,410 participants) were included in the analysis. Overall, 24 (36%) projects chose an antigen-only testing strategy compared to 43 (64%) that chose a PCR-based strategy. No significant differences in distribution were seen in inclusion of PCR-testing by race (16 of 21 for Black race versus 27 of 46 for non-Black race, Conclusion: Race, ethnicity, and housing stability of an underlying vulnerable population was not significantly associated with the decision by community investigators regarding which COVID-19 testing strategy was most appropriate. Future research efforts should remain vigilant to offer emerging diagnostic technologies in the most equitable and appropriate ways.

Indexed as

COVID-19COVID-19 TestingEthnicityHousingRacial GroupsVulnerable PopulationsCommunity-Based Participatory ResearchFemaleHumansMaleSARS-CoV-2United Statesantigencommunity healthCOVID-19 testingdisparitiesPCRunderserved populations

Identifiers

PMID41069821
PMCPMC12504233

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.