This research will create a data management system for tracking antimicrobial resistance across Canada, allowing for better mitigation strategies to be deployed in livestock production.
Antimicrobial resistance is one of the most significant human health concerns of this generation, and there is no clear solution that will result in a concrete end to the issue. In addition, the methods used to track antimicrobial resistance, even in Canada, differ and are challenging to compare.
Tracking and maintaining long-term surveillance data on antimicrobial resistance is required to identify the impact of changing policies and mitigation strategies.
Antimicrobial resistance is tracked by nine agencies in Canada that use different tracking methods preventing researchers from monitoring antimicrobial resistance and comparing the agencies’ data.
This research will create a data management ecosystem focusing on FAIR principles: findable, accessible, interoperable, and reusable, establishing long-term data stability and comparability without sacrificing individual confidentiality.
This project will harmonize the tracking of antimicrobial resistance across Canada, enabling the analysis of policy interventions and shaping future policy directions through evidence-based decision-making.
Dr. Dan Tulpan, Dr. Zvonimir Poljak, Dr. Andrew McArthur, and Dr. Durda Slavic