AMFORA: Applying a One Health systems modelling approach to formulate strategies for mitigating the risk to human health of antibiotic resistance in Aquaculture
AMFORA is an RVC-led multidisciplinary project which aims to use a ‘systems-thinking’ approach to map aquaculture systems in Vietnam, Bangladesh and Egypt, and identify potential hotspots for the emergence and selection of resistance and human exposure to antibiotics and antibiotic-resistant organisms. This will enable the identification of potential drivers of ABU and interventions to reduce ABU.
This project seeks to facilitate the development of optimal antibiotic usage data capture mechanisms on dairy farms by understanding the drivers behind efficient data capture and their association with antibiotic usage and health and welfare. The findings from this project will be used to provide recommendations to help support the ongoing work in the development of data recording tools for the dairy industry.
Assessing social acceptability and economic impact of centralised antibiotic usage data collection for GB cattle farms
The aim of this project is to assess the social acceptability and economic impact of a centralised ABU data capture tool for cattle farms in different contexts in the UK.
Behavioural Adaptations in Live poultry trading and farming systems and Zoonose Control in Bangladesh
People: Dirk Pfeiffer
This project aims to improve understanding of the drivers of the Avian Influenza (HPAI H5N1) virus circulation in Vietnam by focusing on the populations of moving free-grazing ducks.
Our research aims to better understand campylobacter dynamics by investigating public health risks, transmission and contamination pathways and control options.
People: Kristien Verheyen
Creating Awareness and Reporting Evidence about laminitis.
China FETPV seeks to improve animal and public health using scientific and risk based approaches to the control of transboundary animal diseases and emerging infectious diseases.
In partnership with Rwanda Agriculture Board and University of Rwanda, we are conducting cross-sectional studies to assess the frequency and distribution of brucellosis among dairy herds, and longitudinal studies to identify Brucella species causing infection in dairy herds.
Multiple research groups worldwide are currently working on the evaluation of integrated AMR surveillance. This JPIAMR funded, and RVC-led Network brings people together with the aim of harmonising and refining existing frameworks and approaches for the evaluation of AMR surveillance.