Evidence map›Paper›PMID 40502746›Full record

ArticleResearch square2025

SARS-CoV-2 Testing Behavior in Symptomatic Adults and the Role of Exposure Risk, Susceptibility and Healthcare Access in a U.S. National Cohort (2020-2023).

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

Abstract readPreprint
In one paragraph

Article in Research square, 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.
Saba QasmiehInstitute for Implementation Science in Population Health (ISPH), City University of New York.
Kate PenroseInstitute for Implementation Science in Population Health (ISPH), City University of New York.
Angela ParcesepeDepartment of Maternal and Child Health, Gillings School of Public Health, University of North Carolina.
Yanhan ShenInstitute for Implementation Science in Population Health (ISPH), City University of New York.
Rachael Piltch-LoebInstitute for Implementation Science in Population Health (ISPH), City University of New York.
Josefina NunezInstitute for Implementation Science in Population Health (ISPH), City University of New York.
Denis NashInstitute for Implementation Science in Population Health (ISPH), City University of New York.
McKaylee RobertsonInstitute for Implementation Science in Population Health (ISPH), City University of New York.

Funding

Carolina Population CenterR24HD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MORGAN, SAMUEL PHILIP · 2005 to 2014
$10.0M
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
NIAID NIH HHS UH3 AI133675NICHD NIH HHS P2C HD050924NICHD NIH HHS R24 HD050924NIMH NIH HHS RF1 MH132360
6 · The paper itself

Abstract

Background: The COVID-19 pandemic highlighted the critical role of diagnostic testing for managing transmission and reducing the risk of serious illness. This study examines SARS-CoV-2 testing behavior patterns, including at-home and laboratory tests, among adults with COVID-like symptoms from 2020-2023. We explore characteristics associated with testing frequency and assess the impact of SARS-CoV-2 exposure risk, susceptibility to COVID-19 complications, and barriers to healthcare access on frequency of testing when ill. Methods: The 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 reported 2+ times (N = 3,929) 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. Results: Infrequent testers were more likely to be female, Hispanic or Black/non-Hispanic, have an annual household income <$35,000, have fewer years of education, have children in the household, reside in a rural area or southern state. Testing frequency was positively correlated with 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 (aOR 1.14, 95% CI [1.01, 1.26]), COVID-19 susceptibility (aOR 1.17, 95% CI [1.05, 1.30]), no insurance (aOR 1.52, 95% CI [1.37, 1.70]), and no regular healthcare provider (aOR 1.32, 95% CI [1.19, 1.46]) were more likely to test infrequently. Those with more (versus less) exposure risk, susceptibility, and barriers to healthcare were less likely to have purchased SARS-CoV-2 at-home tests and to have requested freely available tests from covidtests.gov. Conclusions: Initiatives to increase testing uptake should prioritize reaching those with greater risk of SARS-CoV-2 exposure, susceptibility to severe COVID-19, and for those with barriers to healthcare access.

Indexed as

antigen testat-home testsCOVID-19diagnostic testingequityhealthcare accessSARS-CoV-2 testingself-testsviral test

Identifiers

PMID40502746
PMCPMC12155231

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.