Factors influencing antimicrobial resistance in the European food system and potential leverage points for intervention: A participatory, One Health study

dc.contributor.authorLambraki, Irene Anna
dc.contributor.authorCousins, Melanie
dc.contributor.authorGraells, Tiscar
dc.contributor.authorLeger, Anais
dc.contributor.authorHenriksson, Patrik
dc.contributor.authorHarbath, Stephan
dc.contributor.authorTroell, Max
dc.contributor.authorWernli, Didier
dc.contributor.authorJorgensen, Peter Sogaard
dc.contributor.authorDesbois, Andrew P.
dc.contributor.authorCarson, Carolee A.
dc.contributor.authorParmley, Elizabeth Jane
dc.contributor.authorMajowicz, Shannon Elizabeth
dc.date.accessioned2026-05-04T15:19:27Z
dc.date.available2026-05-04T15:19:27Z
dc.date.issued2022-02-22
dc.description© 2022 Lambraki et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.description.abstractIntroduction Antimicrobial resistance (AMR) is a global crisis that evolves from a complex system of factors. Understanding what factors interact is key to finding solutions. Our objective was to identify the factors influencing AMR in the European food system and places to intervene. Materials and methods We conducted two workshops involving participants with diverse perspectives to identify the factors influencing AMR and leverage points (places) to target interventions. Transcripts were open coded for factors and connections, then transcribed into Vensim 8.0.4 to develop a causal loop diagram (CLD) and compute the number of feedback loops. Thematic analysis followed to describe AMR dynamics in Europe's food system and places for intervention. The CLD and themes were confirmed via participant feedback. Results Seventeen participants representing human, animal and agricultural sectors identified 91 CLD factors and 331 connections. Seven themes (e.g., social and economic conditions) describing AMR dynamics in Europe's food system, five 'overarching factors' that impact the entire CLD system (e.g., leadership) and fourteen places for intervention (e.g., consumer demands) emerged from workshop discussions. Most leverage points fell on highly networked feedback loops suggesting that intervening at these places may create unpredictable consequences. Conclusions Our study produced a CLD of factors influencing AMR in Europe's food system that implicates sectors across the One Health spectrum. The high connectivity between the CLD factors described by participants and our finding that factors are connected with many feedback mechanisms underscores the complexity of the AMR problem and the challenge with finding long-term solutions. Identifying factors and feedbacks helped identify relevant leverage points in the system. Some actions, such as government's setting AMU standards may be easier to implement. These actions in turn can support multi-pronged actions that can help redefine the vision, values and goals of the system to sustainability tackle AMR.
dc.description.sponsorship5th Joint Programming Initiative on Antimicrobial Resistance, JPIAMR 2017 || Canadian Institutes for Health Research, Institute of Infection and Immunity, Institute of Population and Public Health, grant number 155210 || Swedish Research Council grant, 2017-05981 || Swiss National science Foundation, 40AR40_180189.
dc.identifier.urihttps://doi.org/10.1371/journal.pone.0263914
dc.identifier.urihttps://hdl.handle.net/10012/23172
dc.language.isoen
dc.publisherPublic Library of Science
dc.relation.ispartofseriesPLoS ONE; 17(2); e0263914
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectfood
dc.subjectantimicrobial resistance
dc.subjectantibiotics
dc.subjectanimal sociality
dc.subjectEurope
dc.subjecthealth economics
dc.subjectmental health and psychiatry
dc.subjectpreventive medicine
dc.titleFactors influencing antimicrobial resistance in the European food system and potential leverage points for intervention: A participatory, One Health study
dc.typeArticle
dcterms.bibliographicCitationLambraki IA, Cousins M, Graells T, Léger A, Henriksson P, Harbarth S, et al. (2022) Factors influencing antimicrobial resistance in the European food system and potential leverage points for intervention: A participatory, One Health study. PLoS ONE 17(2): e0263914. https://doi.org/10.1371/journal.pone.0263914
uws.contributor.affiliation1Faculty of Health
uws.contributor.affiliation2School of Public Health Sciences
uws.peerReviewStatusReviewed
uws.scholarLevelFaculty
uws.typeOfResourceTexten

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