Evidence map›Paper›PMID 42415763›Full record

ArticleFrontiers in public health2026

Comparative evaluation of SARS-CoV-2 laboratory testing data sources for U.S. COVID-19 public health surveillance, 2020-2024.

Alisha Kalangara, Conor Millard, Amber K Winn, Tricia A Aden, Kim Del Guercio, Jourdan DeVies, Stephanie Dietz, Andrew Godoshian, Jason Hall, Teresa Jue and 4 more

Abstract readComparative Study
In one paragraph

Article in Frontiers in public health, 2026. 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

14 authors.

Alisha KalangaraGoldbelt Professional Services, Chesapeake, VA, United States.
Conor MillardGoldbelt Professional Services, Chesapeake, VA, United States.
Amber K WinnCoronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Tricia A AdenDivision of Infectious Disease Readiness and Innovation, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Kim Del GuercioDeloitte Consulting LLP, Atlanta, GA, United States.
Jourdan DeViesOffice of Public Health Data, Surveillance, and Technology, Office of the Director, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Stephanie DietzOffice of Public Health Data, Surveillance, and Technology, Office of the Director, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Andrew GodoshianOffice of Readiness and Response, Office of the Director, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Jason HallDeloitte Consulting LLP, Atlanta, GA, United States.
Teresa JueDivision of Infectious Disease Readiness and Innovation, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Joseph MillerOffice of Laboratory Systems and Response, Office of the Director, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Erica Billig RoseCoronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Zachary R SmithOffice of Readiness and Response, Office of the Director, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Benjamin J SilkCoronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: SARS-CoV-2 laboratory testing data were collected by the U.S. Centers for Disease Control and Prevention for surveillance during the COVID-19 pandemic response. Understanding how these existing data correlate and diverge can help guide their use and interpretation. Method: We evaluated COVID-19 Electronic Laboratory Reporting (CELR), the National Respiratory and Enteric Virus Surveillance System (NREVSS), Increasing Community Access to Testing, Treatment and Response (ICATT) program, and commercial laboratory data from 2020 to 2024. SARS-CoV-2 testing volume, viral activity, and viral activity trends were calculated for each source during periods marked by key events. Key events included Delta and Omicron variant emergence, at-home testing availability, and public health emergency conclusion. Viral activity was characterized by percent positivity, the median percent of tests positive for SARS-CoV-2. Viral activity trends were measured using Spearman's correlation coefficients of normalized percent positivity between NREVSS and each of the data sources, along with match rates between the two sources from weekly trajectory categorization (increasing, stable, decreasing) comparisons. Results: SARS-CoV-2 testing volume decreased across time, most notably since January 2022. Viral activity measures showed that CELR (8.4%) and NREVSS (7.7%) had lower median weekly percent positivity compared to ICATT (18.5%) and commercial laboratories (11.0%). Viral activity trends between NREVSS and CELR ( Discussion: ICATT and commercial laboratory data sources consistently reported higher activity levels than CELR and NREVSS, suggesting differences in testing and care-seeking among the underlying populations represented, and the effects of varying reporting practices over time. However, trend correlations with NREVSS were high and few differences were observed in week-to-week trajectories. While these findings may be in part due to overlap in data sources, they also suggest that viral activity trends were relatively consistent across sources. A broad set of laboratory-based surveillance data sources effectively captured trends in SARS-CoV-2 circulation despite the evolving nature of testing and reporting during and after the COVID-19 pandemic.

Indexed as

COVID-19COVID-19 TestingPublic Health SurveillanceCenters for Disease Control and Prevention, U.S.HumansSARS-CoV-2United Statescommercial laboratoryCOVID-19 electronic laboratory reportingCOVID-19 responseincreasing community access to testingNational Respiratory and Enteric Virus Surveillance SystemSARS-CoV-2surveillance

Identifiers

PMID42415763
PMCPMC13337823

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.