Evidence map›Paper›PMID 41716085›Full record

ArticleEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin2026

Influenza A(H3N2) subclade K (J.2.4.1) viruses associated with a surge at a university health clinic, Arizona, the United States, November to early December 2025.

Matthew Scotch, Temitope Oc Faleye, Angelica Urquidez-Negrete, Bradley Bobbett, Veronica Boyle, Kelly Conard, Lucy Sublasky-Rodriguez, Vel Murugan

Abstract read
In one paragraph

Article in Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

8 authors.

Matthew ScotchArizona State University, Tempe, Arizona, the United States.
Temitope Oc FaleyeArizona State University, Tempe, Arizona, the United States.
Angelica Urquidez-NegreteArizona State University, Tempe, Arizona, the United States.
Bradley BobbettArizona State University, Tempe, Arizona, the United States.
Veronica BoyleArizona State University, Tempe, Arizona, the United States.
Kelly ConardArizona State University, Tempe, Arizona, the United States.
Lucy Sublasky-RodriguezArizona State University, Tempe, Arizona, the United States.
Vel MuruganArizona State University, Tempe, Arizona, the United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic surveillance during an influenza surge between November and early December 2025 at a university health clinic in the United States identified A(H3N2) subclade K (J.2.4.1) viruses with shared haemagglutinin amino acid substitutions in antigenic sites and the receptor-binding domain. An epitope-based model indicated reduced vaccine protection (mean predicted protection 0.13). Phylodynamic analyses suggested multiple introductions with onward campus-to-community spread, highlighting that universities and other semi-closed settings can amplify transmission and aid early characterisation of emerging lineages.

Indexed as

Influenza A Virus, H3N2 SubtypeInfluenza, HumanAmino Acid SubstitutionArizonaDisease OutbreaksHemagglutinin Glycoproteins, Influenza VirusHumansInfluenza VaccinesMolecular EpidemiologyPhylogenyUniversitiesHemagglutinin Glycoproteins, Influenza VirusInfluenza VaccinesEvolution, MolecularInfluenza A Virus, H3N2 SubtypeMolecular EpidemiologyPublic Health SurveillanceUniversities

Identifiers

PMID41716085
PMCPMC12924002

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.