Evidence map›Paper›PMID 42811347›Full record

ArticleBMC global and public health2026

Disrupting antimicrobial resistance in food systems from a One Health perspective: a complex systems analysis in Canada, Senegal and the Netherlands.

Chloe Clifford Astbury, Catherine Hu, Mouhamadou Moustapha Sow, Mamadou Ciss, Michel Dückers, Caroline Schneeberger, Lotte van Heuvel, Cécile Aenishaenslin, Ria Benko, Marion Bordier and 8 more

Abstract read
In one paragraph

Article in BMC global and public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Chloe Clifford AstburyGlobal Food & Health Systems Research, School of Global Health, York University, 4700 Keele Street, Toronto, ON, M3J 1P3, Canada.
Catherine HuGlobal Food & Health Systems Research, School of Global Health, York University, 4700 Keele Street, Toronto, ON, M3J 1P3, Canada.
Mouhamadou Moustapha SowNational Laboratory for Livestock and Veterinary Research, Senegalese Institute of Agricultural Research, Hann Bel Air, Route des Hydrocarbures, Dakar, 3120, BP, Senegal.
Mamadou CissNational Laboratory for Livestock and Veterinary Research, Senegalese Institute of Agricultural Research, Hann Bel Air, Route des Hydrocarbures, Dakar, 3120, BP, Senegal.
Michel DückersNetherlands Institute for Health Services Research (NIVEL), Postbus 1568, Utrecht, 3500 BN, The Netherlands.
Caroline SchneebergerNetherlands Institute for Health Services Research (NIVEL), Postbus 1568, Utrecht, 3500 BN, The Netherlands.
Lotte van HeuvelNetherlands Institute for Health Services Research (NIVEL), Postbus 1568, Utrecht, 3500 BN, The Netherlands.
Cécile AenishaenslinDépartement de pathologie et microbiologie, Faculté de médecine vétérinaire, Université de Montréal, 3200 rue Sicotte, Saint-Hyacinthe, J2S 2M2, Québec, Canada.
Ria BenkoInstitute of Clinical Pharmacy, Faculty of Pharmacy, University of Szeged, Szikra utca 8, Szeged, 6725, Hungary.
Marion BordierNational Laboratory for Livestock and Veterinary Research, Senegalese Institute of Agricultural Research, Hann Bel Air, Route des Hydrocarbures, Dakar, 3120, BP, Senegal.
Valentina De LeonGlobal Food & Health Systems Research, School of Global Health, York University, 4700 Keele Street, Toronto, ON, M3J 1P3, Canada.
Olivier Kambere KavulikirwaDepartment of Social and Preventive Medicine, University of Montreal School of Public Health, succursale Centre-ville, Montréal, Québec, C.P. 6128, H3C 3J7, Canada.
Éva LobodaInstitute of Clinical Pharmacy, Faculty of Pharmacy, University of Szeged, Szikra utca 8, Szeged, 6725, Hungary.
Arabi RajanGlobal Food & Health Systems Research, School of Global Health, York University, 4700 Keele Street, Toronto, ON, M3J 1P3, Canada.
Arne RuckertGlobal Strategy Lab, York University, 4700 Keele Street, Toronto, ON, M3J 1P3, Canada.
Sharon VillanuevaCollege of Public Health, University of the Philippines Manila, 625 Pedro Gil Street, Ermita, 1000, Manila, Philippines.
Mary WiktorowiczDahdaleh Institute for Global Health Research, York University, 4700 Keele Street, Toronto, ON, M3J 1P3, Canada.
Tarra L PenneyGlobal Food & Health Systems Research, School of Global Health, York University, 4700 Keele Street, Toronto, ON, M3J 1P3, Canada. tpenney@yorku.ca.

Funding

CIHR 3468277
6 · The paper itself

Abstract

backgroundFood systems are a key contributor to antimicrobial resistance (AMR). Given the multi-sectoral nature of AMR, a One Health perspective has been advocated. Recent research situates AMR as an emerging property of a complex system, a perspective which can help identify root drivers of AMR and theorise the impacts of proposed solutions. This study aims to combine systems modelling and a One Health perspective to identify system-level dynamics and priority actions for addressing AMR in food systems.

methodsWe used group model building, a participatory approach to systems modelling, in three countries: Canada, Senegal, and the Netherlands. Stakeholders from policy, research, civil society and industry developed qualitative systems models and identified priority actions for AMR mitigation. Workshop outputs were synthesised in the form of causal loop diagrams and iteratively refined with stakeholders to ensure they appropriately reflected their perspectives. Diagrams were analysed using systems archetypes, a conceptual tool for diagnosing recurring dynamics in complex systems, to identify common structural drivers of AMR and potential intervention points across countries. We then drew on systems theory and the priority actions identified by stakeholders to highlight potential paths to disrupting these archetypes, thereby reducing the contribution of food systems to AMR.

resultsAcross the countries, 39 stakeholders participated in workshops. The archetypes analysis highlighted how short-term exploitation of shared resources, reliance on antimicrobials at the expense of investing in alternative solutions, and dominance of antimicrobial-intensive production systems may contribute to AMR. Priority actions that were positioned to disrupt these archetypes included regulation, education, consumer engagement, and shift towards different production systems.

conclusionsAMR in food systems arises from recurring structural dynamics that require context-appropriate, systems-informed solutions. Countering short-term exploitation of shared antimicrobial resources calls for regulation, surveillance and education. Addressing overreliance on antimicrobials requires balanced strategies pairing judicious use with sustained investment in alternatives such as livestock management, infection prevention and vaccination. Disrupting the dominance of antimicrobial-intensive production systems calls for regulatory measures and consumer pressure to level the playing field with lower-use systems. Together, these findings point to solutions that employ a systems perspective on design, implementation and evaluation to enable long-term effectiveness in AMR mitigation.

Indexed as

Antimicrobial resistanceFood systemsGroup model buildingOne HealthSystems thinking

Identifiers

PMID42811347
PMCPMC13621477

What OpenQuestion holds

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Registered trials

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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.