{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T01:18:16Z","timestamp":1787015896109,"version":"build-2736575974"},"reference-count":49,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2017,10,3]],"date-time":"2017-10-03T00:00:00Z","timestamp":1506988800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"name":"Swiss Federal Food Safety and Veterinary Office","award":["Research contract 1.12.2"],"award-info":[{"award-number":["Research contract 1.12.2"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Risk Analysis"],"published-print":{"date-parts":[[2018,5]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Human exposure to bacteria resistant to antimicrobials and transfer of related genes is a complex issue and occurs, among other pathways, via meat consumption. In a context of limited resources, the prioritization of risk management activities is essential. Since the antimicrobial resistance (AMR) situation differs substantially between countries, prioritization should be country specific. The objective of this study was to develop a systematic and transparent framework to rank combinations of bacteria species resistant to selected antimicrobial classes found in meat, based on the risk they represent for public health in Switzerland. A risk assessment model from slaughter to consumption was developed following the\n                    <jats:italic>Codex Alimentarius<\/jats:italic>\n                    guidelines for risk analysis of foodborne AMR. Using data from the Swiss AMR monitoring program, 208 combinations of animal species\/bacteria\/antimicrobial classes were identified as relevant hazards. Exposure assessment and hazard characterization scores were developed and combined using multicriteria decision analysis. The effect of changing weights of scores was explored with sensitivity analysis. Attributing equal weights to each score, poultry\u2010associated combinations represented the highest risk. In particular, contamination with extended\u2010spectrum \u03b2\u2010lactamase\/plasmidic AmpC\u2010producing\n                    <jats:italic>Escherichia coli<\/jats:italic>\n                    in poultry meat ranked high for both exposure and hazard characterization. Tetracycline\u2010 or macrolide\u2010resistant\n                    <jats:italic>Enterococcus<\/jats:italic>\n                    spp., as well as fluoroquinolone\u2010 or macrolide\u2010resistant\n                    <jats:italic>Campylobacter jejuni<\/jats:italic>\n                    , ranked among combinations with the highest risk. This study provides a basis for prioritizing future activities to mitigate the risk associated with foodborne AMR in Switzerland. A user\u2010friendly version of the model was provided to risk managers; it can easily be adjusted to the constantly evolving knowledge on AMR.\n                  <\/jats:p>","DOI":"10.1111\/risa.12901","type":"journal-article","created":{"date-parts":[[2017,10,3]],"date-time":"2017-10-03T13:52:36Z","timestamp":1507038756000},"page":"1070-1084","source":"Crossref","is-referenced-by-count":18,"title":["Risk Ranking of Antimicrobial\u2010Resistant Hazards Found in Meat in Switzerland"],"prefix":"10.1111","volume":"38","author":[{"given":"Lucie","family":"Collineau","sequence":"first","affiliation":[{"name":"SAFOSO AG  Bern Liebefeld Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7367-5178","authenticated-orcid":false,"given":"Lu\u00eds Pedro","family":"Carmo","sequence":"additional","affiliation":[{"name":"Veterinary Public Health Institute, Vetsuisse University of Bern, Bern  Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrea","family":"Endimiani","sequence":"additional","affiliation":[{"name":"Institute for Infectious Diseases University of Bern, Bern  Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ioannis","family":"Magouras","sequence":"additional","affiliation":[{"name":"Veterinary Public Health Institute, Vetsuisse University of Bern, Bern  Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cedric","family":"M\u00fcntener","sequence":"additional","affiliation":[{"name":"Institut f\u00fcr Veterin\u00e4rpharmakologie und \u2013toxikologie, Vetsuisse University of Zurich, Zurich  Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gertraud","family":"Sch\u00fcpbach\u2010Regula","sequence":"additional","affiliation":[{"name":"Veterinary Public Health Institute, Vetsuisse University of Bern, Bern  Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katharina D. 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