Evidence map›Paper›PMID 42374517›Full record

ReviewOne health outlook2026

Empowering One Health with metagenomics.

Erin Harvey, Kate Van Brussel, Edward C Holmes

Abstract readReview
In one paragraph

Review in One health outlook, 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

3 authors.

Erin HarveyInstitute of Diagnostic Virology, Friedrich-Loeffler-Institut, Greifswald-Insel Riems, Germany.
Kate Van BrusselSchool of Medical Sciences, The University of Sydney, Sydney, NSW, 2006, Australia.
Edward C HolmesSchool of Medical Sciences, The University of Sydney, Sydney, NSW, 2006, Australia. Edward.holmes@sydney.edu.au.ORCID https://orcid.org/0000-0001-9596-3552

Funding

National Health and Medical Research Council GNT2017197
6 · The paper itself

Abstract

In an increasingly connected world a global One Health approach to the management of human, animal and ecosystem health will be critical to effective infectious disease responses. The emergence and rapid global spread of several emerging and re-emerging pathogens in the past decade has highlighted the need for rapid, sensitive and accurate diagnostics. Metagenomics, while commonly used for research purposes for almost two decades, entered the global spotlight during the COVID-19 pandemic. In this review we discuss the impacts that metagenomic studies have had on our understanding of origins, aetiology and ecology of infectious diseases within a One Health context. We also discuss the role of metagenomics in the future of diagnostics and disease surveillance, and outline the challenges and limitations of current metagenomic methods.

Indexed as

COVID-19EmergenceEvolutionMetagenomicsOne HealthPandemic

Identifiers

PMID42374517
PMCPMC13621691

What OpenQuestion holds

Textmetadata
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.