Antimicrobial resistance (AMR) links together people, plants, animals and their environments under the One Health umbrella. In this work we will similarly link interventions aimed at AMR by considering their impact not only in terms of impact on hospitals, communities or farmers, but across all of these groups.
This is key to informing optimal intervention selection by governments in tackling AMR in the future. Our research will combine statistical analysis, mathematical simulations and economic-impact models within a single intervention assessment framework. We will bring together an interdisciplinary team of economists, mathematical modellers and veterinary scientists to apply this modelling framework to three country cases studies: England, Senegal and Denmark. All three countries are global leaders in terms of AMR data collection and intervention, providing ideal settings for intervention assessment. Our outcome will be a ranking of farm-level interventions for policymakers to assess their impact from a One Health perspective, and an insight into where more data in the future would be most beneficial, in terms of reducing uncertainty in such economic evaluations of interventions.
- Gwenan Knight, London School of Hygiene and Tropical Medicine, United Kingdom (Coordinator)
- Michel Dione, International Livestock Research Institute, Senegal
- Ana Mateus, Royal Veterinary College, United Kingdom
- Nichola Naylor, Public Health England, United Kingdom
- Dagim Belay, University of Copenhagen, Denmark