Evidence map›Paper›PMID 40138725›Full record

ArticleEmerging infectious diseases2025

Establishing Methods to Monitor Influenza (A)H5N1 Virus in Dairy Cattle Milk, Massachusetts, USA.

Elyse Stachler, Andreas Gnirke, Kyle McMahon, Michael Gomez, Liam Stenson, Charelisse Guevara-Reyes, Hannah Knoll, Toni Hill, Sellers Hill, Katelyn S Messer and 20 more

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
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  9. Article
  10. Review
  11. Article
  12. Novel (d)PCR assays for influenza A(H5Nx) viruses clade 2.3.4.4b surveillance.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    Article
  13. Real-time, multi-pathogen wastewater genomic surveillance with Freyja 2.medRxiv : the preprint server for health sciences · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

30 authors.

Elyse Stachler
Andreas Gnirke
Kyle McMahon
Michael Gomez
Liam Stenson
Charelisse Guevara-Reyes
Hannah Knoll
Toni Hill
Sellers Hill
Katelyn S Messer
Jon Arizti-Sanz
Fatinah Albeez
Elizabeth Curtis
Pedram Samani
Natalia Wewior
David H O'Connor
William Vuyk
Sophia E Khoury
Matthew K Schnizlein
Nicole C Rockey
Zachariah Broemmel
Michael Mina
Lawrence C Madoff
Shirlee Wohl
Lorraine O'Connor
Catherine M Brown
Al Ozonoff
Daniel J Park
Bronwyn L MacInnis
Pardis C Sabeti

Funding

Viral Genomics: evolution, spread, and host interactionsU19AI110818 · NIAID · BROAD INSTITUTE, INC. · PI NEAFSEY, DANIEL E · 2014 to 2024
$66.5M
West African Emerging Infectious Disease Research Center (WA-EIDRC)U01AI151812 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI ANDERSEN, KRISTIAN GRAUGAARD, GARRY, ROBERT F · 2020 to 2024
$13.2M
NIAID NIH HHS U01 AI151812NIAID NIH HHS U19 AI110818
6 · The paper itself

Abstract

Highly pathogenic avian influenza A(H5N1) virus has caused a multistate outbreak among US dairy cattle, spreading across 16 states and infecting hundreds of herds since its onset. We rapidly developed and optimized PCR-based detection assays and sequencing protocols to support H5N1 molecular surveillance. Using 214 retail milk samples from 20 states for methods development, we found that H5N1 virus concentrations by digital PCR strongly correlated with quantitative PCR cycle threshold values; digital PCR exhibited greater sensitivity. Metagenomic sequencing after hybrid selection was best for higher concentration samples, whereas amplicon sequencing performed best for lower concentrations. By establishing these methods, we were able to support the creation of a statewide surveillance program to perform monthly testing of bulk milk samples from all dairy cattle farms in Massachusetts, USA, which remain negative to date. The methods, workflow, and recommendations described provide a framework for others aiming to conduct H5N1 surveillance efforts.

Indexed as

Cattle DiseasesInfluenza A Virus, H5N1 SubtypeMilkOrthomyxoviridae InfectionsAnimalsCattleDairyingEpidemiological MonitoringMassachusettscattledisease outbreakfarmsH5N1 subtypeinfluenzainfluenza A virusmilkPCRpublic healthpublic health surveillanceUnited Statesviral RNAvirusesworkflow

Identifiers

PMID40138725
PMCPMC12078538

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.