Evidence map›Paper›PMID 41354779›Full record

ArticleBMC public health2025

SARS-CoV-2 testing behavior in symptomatic adults in a U.S. national cohort, 2020-2023: influence of exposure risk, susceptibility and healthcare access.

Jenna Sanborn, Saba Qasmieh, Kate Penrose, Angela Parcesepe, Yanhan Shen, Rachael Piltch-Loeb, Josefina Nuñez, Denis Nash, McKaylee Robertson

Abstract read
In one paragraph

Article in BMC 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

5 · Who and what money

Authors and funding

9 authors.

Jenna SanbornInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York, NY, USA. jenna.sanborn@sph.cuny.edu.
Saba QasmiehInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York, NY, USA.
Kate PenroseInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York, NY, USA.
Angela ParcesepeDepartment of Maternal and Child Health, Gillings School of Public Health, University of North Carolina, Chapel Hill, NC, USA.
Yanhan ShenInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York, NY, USA.
Rachael Piltch-LoebInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York, NY, USA.
Josefina NuñezInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York, NY, USA.
Denis NashInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York, NY, USA.
McKaylee RobertsonInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York, NY, USA.

Funding

Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Following a U.S. National Cohort of Vulnerable Men to Improve HIV Prevention and CareUH3AI133675 · NIAID · GRADUATE SCHOOL OF PUBLIC HEALTH AND HEALTH POLICY · PI GROV, CHRISTIAN · 2019 to 2021
$6.9M
Brief digital intervention to increase COVID-19 vaccination among individuals with anxiety or depressionRF1MH132360 · NIMH · GRADUATE SCHOOL OF PUBLIC HEALTH AND HEALTH POLICY · PI NASH, DENIS, PARCESEPE, ANGELA · 2022 to 2022
$3.3M
National Institute of Allergy and Infectious Diseases UH3AI133675NIAID NIH HHS UH3 AI133675NICHD NIH HHS P2C HD050924NIMH NIH HHS RF1 MH132360NIMH NIH HHS RF1MH132360
6 · The paper itself

Abstract

backgroundCOVID-19 continues to circulate and cause illness, hospitalizations and death in the U.S, underscoring the importance of understanding SARS-CoV-2 testing behavior among symptomatic adults. Yet few studies have evaluated testing frequency in this population. We examined SARS-CoV-2 testing patterns, including at-home and laboratory tests, among adults with COVID-like symptoms from 2020 to 2023, and assessed the influence of exposure risk, susceptibility to COVID-19 complications, and barriers to healthcare access on frequency of testing when ill.

methodsThe CHASING COVID Cohort study comprises a diverse sample of U.S. adults, with data collected quarterly from March 2020 to December 2023. We categorized participants with COVID-like symptoms as 'frequent testers' if they tested ≥ 66% of the time when symptomatic, 'occasional testers' if they tested > 33% and < 66% of the time, and 'infrequent testers' if they tested ≤ 33% of the time. Informed by the Blumenshine Pandemic Disease Framework, we examined the impact of SARS-CoV-2 exposure risk, susceptibility to COVID-19 complications if infected, and barriers to healthcare access on testing frequency using crude and adjusted log-binomial regression models.

resultsA total of 3929 participants reported symptoms of COVID-like illness in at least two assessments. A quarter (25%) of participants were frequent testers, 47% were occasional testers, and 29% were infrequent testers. One-third (30%) had greater risk of SARS-CoV-2 exposure, 51% were susceptible to COVID-19 complications, 24% were uninsured, and 34% had no regular provider of care. Testing frequency was positively correlated with household income, educational attainment, COVID-19 vaccination, willingness to take antivirals, trust in public health agencies and healthcare providers for COVID-19 vaccine information. Those with more (versus less) exposure risk (aRR 1.14, 95% CI [1.01, 1.26]), COVID-19 susceptibility (aRR 1.17, 95% CI [1.05, 1.30]), no insurance (aRR 1.52, 95% CI [1.37, 1.70]), and no regular healthcare provider (aRR 1.32, 95% CI [1.19, 1.46]) were more likely to test infrequently.

conclusionsIndividuals with the greatest risk of SARS-CoV-2 exposure, susceptibility to COVID-19 complications, and barriers to healthcare access were the least likely to test when ill. Public health initiatives should prioritize improving testing uptake among these populations.

Indexed as

COVID-19COVID-19 TestingHealth Services AccessibilityAdultAgedCohort StudiesDisease SusceptibilityFemaleHumansMaleMiddle AgedRisk FactorsSARS-CoV-2United StatesYoung AdultAntigen testAt-home testsCOVID-19Diagnostic testingEquityHealthcare accessSARS-CoV-2 testingSelf-testsViral test

Identifiers

PMID41354779
PMCPMC12797514

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.