Evidence map›Paper›PMID 41573080›Full record

ArticleVirus evolution2026

Human outbreak detection and best practice MPXV analysis and interpretation with squirrel.

Áine O'Toole, Eddy Kinganda-Lusamaki, Rachel Colquhoun, Connor Chato, Emily Scher, Chris Kent, Sam Wilkinson, Joshua Quick, Nicholas Loman, Ana T Duggan and 2 more

Abstract read
In one paragraph

Article in Virus evolution, 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. Article
  2. Nosocomial transmission in a monkeypox virus clade Ib outbreak, Ireland, August to October 2025.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    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

12 authors.

Áine O'TooleInstitute of Ecology & Evolution, University of Edinburgh, Edinburgh, EH93FL, United Kingdom.ORCID https://orcid.org/0000-0001-8083-474X
Eddy Kinganda-LusamakiInstitut National de Recherche Biomédicale, Kinshasa, P.O. Box 1197, Democratic Republic of the Congo.
Rachel ColquhounInstitute of Ecology & Evolution, University of Edinburgh, Edinburgh, EH93FL, United Kingdom.
Connor ChatoNational Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, MB R3E 3M4, Canada.
Emily ScherInstitute of Ecology & Evolution, University of Edinburgh, Edinburgh, EH93FL, United Kingdom.
Chris KentInstitute of Microbiology and Infection, University of Birmingham, B15 2TT, United Kingdom.ORCID https://orcid.org/0000-0003-4269-0153
Sam WilkinsonInstitute of Microbiology and Infection, University of Birmingham, B15 2TT, United Kingdom.
Joshua QuickInstitute of Microbiology and Infection, University of Birmingham, B15 2TT, United Kingdom.
Nicholas LomanInstitute of Microbiology and Infection, University of Birmingham, B15 2TT, United Kingdom.
Ana T DugganNational Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, MB R3E 3M4, Canada.ORCID https://orcid.org/0000-0002-2582-2954
Placide MbalaInstitut National de Recherche Biomédicale, Kinshasa, P.O. Box 1197, Democratic Republic of the Congo.
Andrew RambautInstitute of Ecology & Evolution, University of Edinburgh, Edinburgh, EH93FL, United Kingdom.ORCID https://orcid.org/0000-0003-4337-3707

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High numbers of reported mpox cases and recent identification of multiple sustained human outbreaks of mpox virus (MPXV) have highlighted the need for robust, best-practice genomic surveillance tools. In light of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, many labs across the globe developed the capacity to do virus genome sequencing; however, MPXV presents additional analytical challenges due to its large genome size, tracts of low-complexity or repeat regions, genetically distinct clades, and the need to perform bespoke apolipoprotein B mRNA editing enzyme catalytic polypeptide-like 3 (APOBEC3)-mutation reconstruction. We present squirrel (Some Quick Reconstruction to Resolve Evolutionary Links), an open source bioinformatic tool that can perform clade-aware alignment, mutation quality assessment, phylogenetic inference, and automated APOBEC3-mutation classification on branches of the phylogeny. Squirrel can be run on the command line or launched through the EPI2ME graphical user interface through the squirrel-nf workflow, enabling robust analysis without need for the command line. With the interactive output report produced and publication-ready APOBEC3-reconstruction visualization, squirrel enables researchers to distinguish between zoonotic and sustained human outbreaks and help accurately inform public health responses.

Indexed as

APOBEC3bioinformaticsemerging diseasegenomic epidemiologympoxMPXVoutbreakphylogeneticssoftwaresurveillancezoonosis

Identifiers

PMID41573080
PMCPMC12822064

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.