AMResilience

Project title

Comparative assessment of social-ecological resilience and transformability to limit antimicrobial resistance in One Health systems (AMResilience)

Funded by the Joint Programming Initiative on Antimicrobial Resistance (JPIAMR), via the Canadian Institutes of Health Research, 2018-2022

Principal investigators

Shannon Majowicz (University of Waterloo), Jane Parmley (University of Guelph)

University of Waterloo lead researcher

Irene Lambraki

Collaborating institutions

University of Waterloo (Shannon Majowicz, Irene Lambraki, Melanie Cousins, Sara Abdelrahman), University of Guelph (Jane Parmley), Royal Swedish Academy of Sciences and the Stockholm Resilience Centre (Peter Søgaard Jørgensen, Tiscar Graells, Patrik Henriksson, Max Troell), University of Geneva (Didier Wernli, Anaïs Leger), University of Geneva Hospitals and Faculty of Medicine (Stephan Harbarth), Public Health Agency of Canada (Carolee Carson), WorldFish (Patrik Henriksson).

External site

AMResilience project  

Project summary

Antimicrobial resistance (AMR) is a threat to human, animal and environmental health globally. This project examines what is needed to build system resilience to tackle AMR in selected high-income and low-middle income contexts. In contribution to the AMResilience project, the Foodborne Disease Epidemiology Group is using causal loop diagrams (CLDs) and scenario analyses to determine what actions will help to build social and ecological capacity and readiness to tackle AMR now and in the future.

Applying a One Health approach, complex adaptive system lens, and social-ecological system resilience theory to AMR, this research will quantify CLDs of AMR in the Europe and Southeast Asian food system context that are developed by diverse stakeholders in participatory workshops. CLDs are models that help visualize how different factors in a system are related. CLDs are used to create visual models of the underlying causal structure (factors, connections, and feedbacks) that generates and spreads AMR within One Health systems in a high-income region (Europe) and a low-middle income region (Southeast Asia). Using these CLDs, the long-term impacts of selected interventions on AMR will be explored under alternate future scenarios (e.g., climate change) via simulation modelling and participatory workshops with traditional and non-traditional stakeholders.

This mixed-methods research is being done in conjunction with international partners on the AMResilience project as part of the Joint Programming Initiative on Antimicrobial Resistance (JPIAMR). Learn more about coordinated efforts of the AMResilience project.

Peer-reviewed publications

Wernli, D., Jørgensen, P.S., Parmley, E.J., Majowicz, S.E., Lambraki, I., Carson, C.A., Cousins, M., Graells, T., Henriksson, P.J., Léger, A., Harbarth, S. Scope and applicability of social–ecological resilience to antimicrobial resistance. The Lancet Planetary Health, 2023, 7(7): e630-e637.

Cousins M., Parmley E.J., Greer A.L., Neiterman E., Lambraki I.A., Graells T., Léger A., Henriksson P.J.G., Troell M., Wernli D., Søgaard Jørgensen P., Carson C.A., Majowicz S.E. Is scientific evidence enough? Using expert opinion to fill gaps in data in antimicrobial resistance research. PLoS One, 2023, 18(8):e0290464. doi: 10.1371/journal.pone.0290464. PMID: 37616319; PMCID: PMC10449168.

Lambraki, I.A., Chadag, M.V., Cousins, M., Graells, T., Léger, A., Henriksson, P.J.G., Troell, M.F., Harbarth, S., Wernli, D., Jørgensen, P.S., Carson, C.A., Parmley, E.J., Majowicz, S.E. Factors impacting antimicrobial resistance in the South East Asian food system and potential places to intervene: A participatory, one health study. Frontiers in Microbiology, 2023, 13: p.992507.

Lambraki, I., Cousins, M., Graells, T., Léger, A., Abdelrahman, S., Desbois, P., Gallagher, R., Staaf Larsson, B., Mattson, B., Henriksson, P., Troell, M., Jørgensen, P.S., Wernli, D., Carson, C.A., Parmley, E.J., & Majowicz, S.E. Governing antimicrobial resistance in a changing climate: A participatory scenario planning approach applied to Sweden in 2050. Frontiers in Public Health, 2022, 10:831097. doi: 10.3389/fpubh.2022.831097.

Graells, T., Lambraki, I.A., Cousins, M., Léger, A., Lillepold, K., Henriksson, P.J.G., Troell, M., Carson, C.A., Parmley, E.J., Majowicz, S.E., Wernli, D., Søgaard Jørgensen, P. Studying factors affecting success of antimicrobial resistance interventions through the lens of previous experience: a thematic analysis. Antibiotics, 2022, 11, 639. https:// doi.org/10.3390/antibiotics11050639

Lambraki, I.A., Cousins, M., Graells, T., Léger, A., Henriksson, P., Harbarth, S., Troell, M., Wernli, D., Søgaard Jørgensen, P., Desbois, A.P., Carson, C.A., Parmley, E.J., Majowicz, S.E. Factors influencing antimicrobial resistance in the European food system and potential leverage points for intervention: A participatory, One Health study. PLOS ONE, 2022, 17(2), e0263914.

Lambraki, I.A., Majowicz, S.E., Parmley, E.J., Wernli, D., Léger, A., Graells, T., Cousins, M., Harbarth, S., Carson, C., Henriksson, P., Troell, M. Building Social-Ecological System Resilience to Tackle Antimicrobial Resistance Across the One Health Spectrum: Protocol for a Mixed Methods Study. JMIR Research Protocols, 2021, 10(6):e24378.

Léger, A., Lambraki, I., Graells, T., Cousins, M., Henriksson, P., Harbarth, S., Carson, C., Majowicz, S.E., Troell, M., Parmley, E.J., Jørgensen, P.S., & Wernli, D. Characterizing social-ecological context and success factors of antimicrobial resistance interventions across the One Health spectrum: analysis of 42 interventions targeting E. coli. BMC Infectious Diseases, 2021, 21(1), 873. DOI: 10.1186/s12879-021-06483-z.

Léger, A., Lambraki, I., Graells, T., Cousins, M., Henriksson, P., Harbarth, S., Carson, C., Majowicz, S., Troell, M., Parmley, E.J., Jørgensen, P.S., Wernli, D. AMR-Intervene: a social ecological framework to capture the diversity of actions to tackle antimicrobial resistance from a One Health perspective. Journal of Antimicrobial Chemotherapy, 2021, 76, 1-21.

Wernli, D., Jørgensen, P. S., Parmley, E. J., Troell, M., Majowicz, S., Harbarth, S., Léger, A., Lambraki, I., Graells, T., Henriksson, J. G., Carson, C., Cousins, M., ... Carson, C. Evidence for action: a One Health learning platform on interventions to tackle antimicrobial resistance. The Lancet Infectious Diseases, 2020, 20(12), e307-e311.

Data files

Cousins, M. Using expert knowledge and experience to parameterize a simulation model of AMR emergence and transmission in a Swedish food system context: Framework Matrices, 2022,  https://doi.org/10.5683/SP3/WUXL5F, Borealis, V1, UNF:6:7MNV1+/sxDeftXfWjznwkg== [fileUNF]

Cousins, M. A One Health and fuzzy cognitive map-based approach to assess interventions to reduce antimicrobial resistance in a Swedish food system context under potential climate change conditions: Decision matrix and Scenario results, 2022, https://doi.org/10.5683/SP3/Z2IJTE, Borealis, V2

Cousins, M. Mapping out a One Health model in the context of the Swedish food system using a modified scoping review methodology: Scoping Review Database, 2022, https://doi.org/10.5683/SP3/UQZJMB, Borealis, V1, UNF:6:Scmti+htcN4SQ9/sgkUwFQ== [fileUNF]

Research brief

“Factors influencing antimicrobial resistance in food systems & recommendations for long-term governance under a changing climate. Research Brief.”

  Full PDF here

Created by: Irene Lambraki 

Cite this as: Lambraki IA, Cousins, M, Graells T, Troell M, Søgaard JørgensenP, Wernli D, Parmley EJ, Majowicz SE. “Factors influencing antimicrobial resistance in food systems & recommendations for long-term governance under a changing climate. Research Brief”. 2022 Mar 21. Available from: https://uwaterloo.ca/foodborne-disease-epidemiology-group/research/amresilience

Infographic

"A review of the evidence landscape to parameterize a One Health model of AMR in the Swedish food system context: Using expert knowledge in the interim?"

PDF

Created by: Melanie Cousins 

Cite this as: Cousins, M. A review of the evidence landscape to parameterize a One Health model of AMR in a Swedish food system context: Using expert knowledge in the interim? [Infogrpahic]. 2021 Oct 29. Available from: https://uwaterloo.ca/foodborne-disease-epidemiology-group/research/amresilience

Content created to guide participatory workshop discussions

The following work is all licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. This means the material is free to be shared as long there is attribution, it is noncommericial and there are no derivatives. Read the full license for further information.

1) "A look at Sweden as it greets the 2050 new year”: scenario newsletter developed for participatory scenario analysis workshops in Sweden

PDF

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Cite this as: Wysong P, Kwan X, Cousins M, Lambraki I, Carson C, Parmley J, Majowicz S. "A look at Sweden as it greets the 2050 new year”: scenario newsletter developed for participatory scenario analysis workshops in Sweden [internet]. 2020 Nov 5. Available from: https://uwaterloo.ca/food-epi-group/sites/ca.foodborne-disease-epidemiology-group/files/uploads/files/swedenscenarionewsletter2020.pdf

2) "Malaysia suffers greatly from climate change”: scenario newsletter developed for participatory scenario analysis workshops in Malaysia

PDF

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Cite this as: Wysong P, Kwan X, Cousins M, Lambraki I, Carson C, Parmley J, Majowicz S. "Malaysia suffers greatly from climate change”: scenario newsletter developed for participatory scenario analysis workshops in Malaysia [internet]. 2020 Nov 5. Available from: https://uwaterloo.ca/food-epi-group/sites/ca.foodborne-disease-epidemiology-group/files/uploads/files/malaysiascenarionewsletter2020.pdf

3) "Welcome to the world in 2050": Scenario video developed for participatory scenario analysis workshops in Sweden