Evidence map›Paper›PMID 40786158›Full record

ArticleFrontiers in public health2025

SARS-CoV-2 genomic surveillance using rapid point of care COVID-19 antigen tests at public test sites in California.

Eric M Foote, Ellen L Bouchard, Charlotte B Acharya, Elizabeth F Baylis, John M Bell, Christina Morales, Phacharee Arunleung, Andreina Urrutia Gonzalez, Jacob Conston, Stephenie Liu and 10 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

20 authors.

Eric M FooteCalifornia Department of Public Health, Richmond, CA, United States.
Ellen L BouchardCalifornia Department of Public Health, Richmond, CA, United States.
Charlotte B AcharyaUniversity of California, Davis, Davis, CA, United States.
Elizabeth F BaylisCalifornia Department of Public Health, Richmond, CA, United States.
John M BellCalifornia Department of Public Health, Richmond, CA, United States.
Christina MoralesCalifornia Department of Public Health, Richmond, CA, United States.
Phacharee ArunleungCalifornia Department of Public Health, Richmond, CA, United States.
Andreina Urrutia GonzalezUniversity of California, Davis, Davis, CA, United States.
Jacob ConstonUniversity of California, Davis, Davis, CA, United States.
Stephenie LiuUniversity of California-Davis School of Medicine, Davis, CA, United States.
Ryan DavisUniversity of California-Davis School of Medicine, Davis, CA, United States.
Jeremy BrownUniversity of California, Davis, Davis, CA, United States.
Natalie HnypUniversity of California, Davis, Davis, CA, United States.
Siranoosh AshtariUniversity of California, Davis, Davis, CA, United States.
Alyssa LaxamanaUniversity of California, Davis, Davis, CA, United States.
Vanessa RashbrookUniversity of California, Davis, Davis, CA, United States.
Lutz FroenickeUniversity of California, Davis, Davis, CA, United States.
Kathleen JacobsonCalifornia Department of Public Health, Richmond, CA, United States.
Richard MichelmoreUniversity of California, Davis, Davis, CA, United States.
Debra A WadfordCalifornia Department of Public Health, Richmond, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

California's SARS-CoV-2 genomic surveillance program (California COVIDNet) developed whole genomic sequencing (WGS) capability from positive COVID-19 antigen tests to maintain genomic surveillance from public test sites. Over 4-months, COVIDNet sourced specimens from positive COVID-19 antigen tests from 142 California public test sites in 43 counties. Successful WGS was defined as at least 83% reference coverage with a minimum 20x genomic read depth. There were 14,088 SARS-CoV-2 genomes obtained from positive antigen tests with a success rate of 92.9%. The program generated 13.9% of SARS-CoV-2 sequences in California and 2.7% of sequences in the US during the program operation period. In one rural region, 69% of all SARS-CoV-2 sequences were generated by the program. California successfully transitioned SARS-CoV-2 WGS on a statewide scale to specimens sourced from positive antigen tests. Community-based testing coupled with a comprehensive genomic surveillance program provides a statewide strategy applicable to other pathogens of public health significance.

Indexed as

COVID-19COVID-19 Serological TestingPoint-of-Care TestingSARS-CoV-2CaliforniaGenome, ViralGenomicsHumansWhole Genome SequencingCOVID-19 rapid antigen testgenomic surveillancepopulation viral genomic epidemiologySARS-CoV-2whole genome sequencing

Identifiers

PMID40786158
PMCPMC12331611

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Registered trials

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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.