Evidence map›Paper›PMID 42715246›Full record

ArticlePLOS global public health2026

Multimodal genomic surveillance for respiratory pathogens at four U.S. international airports: A comparison of air, wastewater, clinical, and national surveillance data.

Dawn Gratalo, Cindy R Friedman, Valerie J Morley, Xueting Qiu, Ian Ruskey, Andrew P Rothstein, Patrick B Tiburcio, Casandra W Philipson, Thomas W S Aichele, Stephen M Bart and 4 more

Abstract read
In one paragraph

Article in PLOS global 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.

Dawn GrataloGinkgo Biosecurity, Boston, Massachusetts, United States of America.
Cindy R FriedmanDivision of Global Migration Health, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.ORCID https://orcid.org/0000-0003-1583-4617
Valerie J MorleyGinkgo Biosecurity, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0001-6805-7562
Xueting QiuGinkgo Biosecurity, Boston, Massachusetts, United States of America.
Ian RuskeyDivision of Global Migration Health, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.ORCID https://orcid.org/0009-0005-8973-4426
Andrew P RothsteinGinkgo Biosecurity, Boston, Massachusetts, United States of America.
Patrick B TiburcioDepartment of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.ORCID https://orcid.org/0000-0001-7932-9447
Casandra W PhilipsonGinkgo Biosecurity, Boston, Massachusetts, United States of America.
Thomas W S AicheleGinkgo Biosecurity, Boston, Massachusetts, United States of America.
Stephen M BartDivision of Global Migration Health, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Dustin JaynesDepartment of Public Safety, Dallas/Fort Worth International Airport, Dallas, Texas, United States of America.ORCID https://orcid.org/0009-0006-3554-0877
Birgitte B SimenGinkgo Biosecurity, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0003-0503-0973
Shelby L O'ConnorDepartment of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.ORCID https://orcid.org/0000-0003-0183-5010
David H O'ConnorDepartment of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early detection of outbreaks and emerging pathogens is critical for public health and global biosecurity. Airports, as major international travel hubs with dense, enclosed populations, are high-risk settings for disease transmission and potential pathogen introduction. The U.S. Centers for Disease Control and Prevention, in collaboration with Ginkgo Biosecurity and the University of Wisconsin-Madison, implemented air monitoring for pathogen surveillance in congregate areas at four U.S. international airports. From October 2023 to August 2024, SARS-CoV-2 was detected by PCR in 98.3% of air samples and influenza A in 17.2%. Influenza A positivity in air samples correlated with aviation wastewater (r = 0.48), traveler nasal swab positivity (r = 0.73), and national clinical surveillance (r = 0.86), whereas SARS-CoV-2 measurements did not correlate significantly across these modalities. Targeted amplicon sequencing of SARS-CoV-2 from air samples identified contemporaneous lineages also detected in wastewater collected from the same airports. Targeted enrichment sequencing detected 30 viral species and recovered high-quality genomes for SARS-CoV-2, influenza, bocavirus, and seasonal coronaviruses. Together, these findings demonstrate that air sampling can complement aviation wastewater surveillance at ports of entry, although performance and concordance vary by pathogen and sample type.

Identifiers

PMID42715246
PMCPMC13557369

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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.