Evidence map›Paper›PMID 42576891›Full record

ArticleSustainable microbiology2025

Monitoring of antimicrobial resistance genes and influenza viruses in avian-populated water bodies.

Kata Farkas, Margaret E Knight, Nick Woodhall, Rachel C Williams, Wannipa Seerung, Reshma Silvester, Rachel Abbey, Matthew J Wade, Lorenzo Cattarino, Tom White and 1 more

Abstract read
In one paragraph

Article in Sustainable microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Water-Wheat-Wait: Monitoring wild mallards (One health (Amsterdam, Netherlands) · 2026
    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

11 authors.

Kata FarkasSchool of Environmental and Natural Sciences, Bangor University, Bangor, Gwynedd LL57 2UW, United Kingdom.ORCID https://orcid.org/0000-0002-7068-3228
Margaret E KnightSchool of Environmental and Natural Sciences, Bangor University, Bangor, Gwynedd LL57 2UW, United Kingdom.
Nick WoodhallSchool of Environmental and Natural Sciences, Bangor University, Bangor, Gwynedd LL57 2UW, United Kingdom.
Rachel C WilliamsSchool of Environmental and Natural Sciences, Bangor University, Bangor, Gwynedd LL57 2UW, United Kingdom.
Wannipa SeerungSchool of Environmental and Natural Sciences, Bangor University, Bangor, Gwynedd LL57 2UW, United Kingdom.
Reshma SilvesterSchool of Environmental and Natural Sciences, Bangor University, Bangor, Gwynedd LL57 2UW, United Kingdom.
Rachel AbbeyChief Data Officer Group, UK Health Security Agency, London E14 4PU, United Kingdom.
Matthew J WadeChief Data Officer Group, UK Health Security Agency, London E14 4PU, United Kingdom.ORCID https://orcid.org/0000-0001-9824-7121
Lorenzo CattarinoChief Data Officer Group, UK Health Security Agency, London E14 4PU, United Kingdom.
Tom WhiteChief Data Officer Group, UK Health Security Agency, London E14 4PU, United Kingdom.
Davey JonesSchool of Environmental and Natural Sciences, Bangor University, Bangor, Gwynedd LL57 2UW, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring zoonotic and multi-species pathogens is challenging due to the resources required to sample individual animals. In this study, we propose the use of DNA/RNA detection methods to assess the prevalence of bacterial, antimicrobial resistance (AMR), and viral markers in 19 water sites in England and Wales where close contact occurs with avian species. For bacteria and AMR monitoring, we utilized high-throughput quantitative polumerase chain reaction (HT-qPCR), which revealed a consistent abundance of AMR genes and mobile genetic elements, with aminoglycoside-resistance gene

Indexed as

antimicrobial resistance (AMR)environmental monitoringfaecal source trackinginfluenzapublic healthzoonosis

Identifiers

PMID42576891
PMCPMC13375323

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.