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dc.creatorLambraki, I.en_US
dc.creatorChadag, V.en_US
dc.creatorCousins, M.en_US
dc.creatorGraells, T.en_US
dc.creatorLeger, A.en_US
dc.creatorHenriksson, P.J.en_US
dc.creatorTroell M. en_US
dc.creatorHarbarth, S.en_US
dc.creatorWernli, D.en_US
dc.creatorJørgensen, P.S.en_US
dc.creatorCarson, C.en_US
dc.creatorParmley, J.E.en_US
dc.creatorMajowicz, S.en_US
dc.date.accessioned2023-01-13T06:07:54Z
dc.date.available2023-01-13T06:07:54Z
dc.date.issued2023en_US
dc.identifier.citationIrene Lambraki, Vishnumurthy Mohan Chadag, Melanie Cousins, Tiscar Graells, Anais Leger, Patrik Henriksson, Max Troell, stephan Harbarth, Didier Wernli, Peter Jørgensen, Carolee Carson, Jane Parmley, Shannon Majowicz. (5/1/2023). Factors impacting antimicrobial resistance in the South East Asian food system and potential places to intervene: A participatory, one health study. Frontiers in Microbiology.en_US
dc.identifier.issn1664-302Xen_US
dc.identifier.urihttps://hdl.handle.net/20.500.12348/5367
dc.description.abstractBackground: With AMU projected to increase, South East Asia (SEA) is at high risk of experiencing disproportionate health, social, and economic burdens due to antimicrobial resistance (AMR). Our objective was to identify factors influencing AMR in SEA’s food system and places for intervention by integrating the perspectives of experts from the region to inform policy and management decisions. Materials and methods: We conducted two 6.5 h workshops and two 90-min interviews involving 18 AMR and other disciplinary experts from human, animal, and environment sectors who brainstormed the factors influencing AMR and identified leverage points (places) for intervention. Transcripts and workshop materials were coded for factors and their connections and transcribed into a causal loop diagram (CLD). Thematic analysis described AMR dynamics in SEA’s food system and leverage points for intervention. The CLD and themes were confirmed via participant feedback. Results: Participants constructed a CLD of AMR in the SEA food system that contained 98 factors interlinked by 362 connections. CLD factors reflected eight sub-areas of the SEA food system (e.g., government). Seven themes [e.g., antimicrobial and pesticide use and AMR spread (n = 40 quotes)], six “overarching factors” that impact the entire AMR system [e.g., the drive to survive (n = 12 quotes)], and 10 places for intervention that target CLD factors (n = 5) and overarching factors (n = 2) emerged from workshop discussions. Conclusion: The participant derived CLD of factors influencing AMR in the SEA food system demonstrates that AMR is a product of numerous interlinked actions taken across the One Health spectrum and that finding solutions is no simple task. Developing the model enabled the identification of potentially promising leverage points across human, animal, and environment sectors that, if comprehensively targeted using multi-pronged interventions, could evoke system wide changes that mitigate AMR. Even targeting some leverage points for intervention, such as increasing investments in research and capacity building, and setting and enforcing regulations to control antimicrobial supply, demand, and use could, in turn, shift mindsets that lead to changes in more difficult to alter leverage points, such as redefining the profit-driven intent that drives system behavior in ways that transform AMU and sustainably mitigate AMR.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherFrontiers Media S.A.en_US
dc.rightsCC-BY-4.0en_US
dc.sourceFrontiers in Microbiology;(2023)en_US
dc.subjectfood systemen_US
dc.subjectparticipatory approachen_US
dc.subjectantimicrobial useen_US
dc.subjectcausal loop diagramen_US
dc.titleFactors impacting antimicrobial resistance in the South East Asian food system and potential places to intervene: A participatory, one health studyen_US
dc.typeJournal Articleen_US
cg.contributor.crpFishen_US
cg.contributor.funderSwedish Research Councilen_US
cg.contributor.funderSwiss National Science Foundationen_US
cg.contributor.funderCanadian Institutes for Health Researchen_US
cg.coverage.countryEthiopiaen_US
cg.coverage.countryIndiaen_US
cg.coverage.countryIndonesiaen_US
cg.coverage.countryLao People's Democratic Republicen_US
cg.coverage.countryMalaysiaen_US
cg.coverage.countrySingaporeen_US
cg.coverage.countrySri Lankaen_US
cg.coverage.countryThailanden_US
cg.coverage.regionEastern Africaen_US
cg.coverage.regionSouthern Asiaen_US
cg.coverage.regionSouth-Eastern Asiaen_US
cg.subject.agrovocsouth east asiaen_US
cg.subject.agrovocone healthen_US
cg.subject.agrovocantibioticsen_US
cg.subject.agrovocantimicrobial resistanceen_US
cg.contributor.affiliationWorldFishen_US
cg.contributor.affiliationUniversity of Guelphen_US
cg.contributor.affiliationStockholm Resilience Centreen_US
cg.contributor.affiliationUniversity of Waterlooen_US
cg.contributor.affiliationUniversity of Genevaen_US
cg.contributor.affiliationThe Royal Swedish Academy of Sciencesen_US
cg.contributor.affiliationPublic Health Agency of Canadaen_US
cg.contributor.affiliationBeijer Institute of Ecological Economicsen_US
cg.contributor.affiliationThe Royal Swedish Academy of Sciences, Global Economic Dynamics and the Biosphereen_US
cg.contributor.affiliationUniversity of Geneva, Global Studies Instituteen_US
cg.identifier.statusOpen accessen_US
cg.identifier.ISIindexedISI indexeden_US
cg.contribution.worldfishauthorChadag, V.en_US
cg.contribution.worldfishauthorHenriksson, P.J.en_US
cg.description.themeMiscellaneous themesen_US
dc.identifier.doihttps://dx.doi.org/10.3389/fmicb.2022.992507en_US
cg.creator.idVishnumurthy Mohan Chadag: 0000-0002-2574-284Xen_US
cg.creator.idPatrik John Gustav Henriksson: 0000-0002-3439-623Xen_US
cg.subject.sdgSDG 3 - Good health and well-beingen_US
cg.subject.actionAreaResilient Agrifood Systemsen_US
cg.subject.impactAreaEnvironmental health and biodiversityen_US
cg.contributor.initiativeOne Healthen_US


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