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Attributable sources of the five most prevalent non-typhoidal Salmonella serovars across ten European countries

dc.contributor.authorTeunis, Gijs
dc.contributor.authorDallman, Timothy J.
dc.contributor.authorZajac, Magdalena
dc.contributor.authorSkarżyńska, Magdalena
dc.contributor.authorPetrovska, Liljana
dc.contributor.authorPista, Ângela
dc.contributor.authorSilveira, Leonor
dc.contributor.authorClemente, Lurdes
dc.contributor.authorThépault, Amandine
dc.contributor.authorBonifait, Laetitia
dc.contributor.authorKerouanton, Annaelle
dc.contributor.authorChemaly, Marianne
dc.contributor.authorAlvarez, Julio
dc.contributor.authorSoderlund, Robert
dc.contributor.authorNielsen, Eva Moller
dc.contributor.authorChattaway, Marie
dc.contributor.authorBurgess, Kaye
dc.contributor.authorByrne, William
dc.contributor.authorZomer, Aldert L.
dc.contributor.authorvan den Beld, Maaike
dc.contributor.authorHendrickx, Antoni P.A.
dc.contributor.authorFranz, Eelco
dc.contributor.authorPires, Sara
dc.contributor.authorHald, Tine
dc.contributor.authorMughini-Gras, Lapo
dc.date.accessioned2026-01-21T15:41:04Z
dc.date.available2026-01-21T15:41:04Z
dc.date.issued2025-10-13
dc.description.abstractNon-typhoidal Salmonella is the second most frequently reported zoonotic pathogen in the European Union and European Economic Area. Most human infections are caused by serovars Enteritidis and Typhimurium. Genomic characterisation of Salmonella isolates from humans and animals has become a routine public health surveillance tool in many countries. In this study, the relative contributions of several potential sources of human infection of the five frequently reported Salmonella serovars were estimated using machine-learning methods based on a large, cross-sectional collection of genomes from human cases, and animal and environmental sources, across ten European countries. To define the population structure, core-genome Multilocus Sequence Typing was performed. A supervised machine-learning approach was applied for source attribution in the form of a Random Forest classifier. The source and country attribution models achieved moderate accuracy (F1=0.6–0.9), which is lower than in previous studies using machine-learning on Whole Genome Sequencing data. However, attributions of human clinical isolates to different sources were generally in line with previous findings for these five serovars. While the lack of clonality in some sources hindered their prediction, it is also likely that certain sources (e.g., pets) do not serve as major contributors to human infection. Therefore, in most cases attributing these sources to the livestock species they are typically associated with, is likely appropriate. Country attributions showed that substantial human cases are attributable to countries other than their own, indicating geographical interrelatedness of sources. This highlights the value of internationally harmonised Salmonella-control policies in the food production chain.eng
dc.description.abstractHighlights: - Salmonella source attribution done in 10 EU/EEA countries. - Over 10,000 cgMLST genomes analyzed using Random Forest. - Five main serovars linked mainly to various livestock sources. - Cross-border cases support EU-wide harmonised control policies. - Pets likely play only a minor role in Salmonella transmission.eng
dc.description.sponsorshipResearch at the National Veterinary Research Institute (PIWet), Poland, was also partially supported by the Polish Ministry of Education and Science from the funds for science in the years 2018–2022 allocated for the implementation of a co-financed international project.
dc.identifier.citationJ Infect. 2025 Nov;91(5):106632. doi: 10.1016/j.jinf.2025.106632. Epub 2025 Oct 13
dc.identifier.doi10.1016/j.jinf.2025.106632
dc.identifier.eissn1532-2742
dc.identifier.issn0163-4453
dc.identifier.pmid41093134
dc.identifier.urihttp://hdl.handle.net/10400.18/10733
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier
dc.relationPromoting One Health in Europe through joint actions on foodborne zoonoses, antimicrobial resistance and emerging microbiological hazards.
dc.relation.hasversionhttps://www.sciencedirect.com/journal/journal-of-infection/vol/91/issue/5
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectModelling
dc.subjectSalmonellosis
dc.subjectSource Attribution
dc.subjectWhole-Genome Sequencing
dc.subjectEurope
dc.subjectInfecções Gastrointestinais
dc.titleAttributable sources of the five most prevalent non-typhoidal Salmonella serovars across ten European countrieseng
dc.typejournal article
dcterms.referenceshttps://ars.els-cdn.com/content/image/1-s2.0-S0163445325002324-mmc1.pdf
dspace.entity.typePublication
oaire.awardTitlePromoting One Health in Europe through joint actions on foodborne zoonoses, antimicrobial resistance and emerging microbiological hazards.
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/773830/EU
oaire.citation.issue5
oaire.citation.startPage106632
oaire.citation.titleJournal of Infection
oaire.citation.volume91
oaire.fundingStreamH2020
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
relation.isProjectOfPublication94d118fb-33ce-49fa-b1ed-d5bddf63581d
relation.isProjectOfPublication.latestForDiscovery94d118fb-33ce-49fa-b1ed-d5bddf63581d

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