The Norwegian cattle population is free of many infectious diseases and has a likely low occurrence of antimicrobial resistance. This favorable situation represents an important asset that must not be taken for granted. Due to changes in climate, travelling behavior and import of animal products, the risk of introduction of new diseases seems increasing. The covid-19 pandemic in humans has emphasized the value of mobility data and simulation models to inform mitigation activities. For cattle, the knowledge of livestock transports is essential when preparing for changes in the disease situation as it is an important route for spread of infection. Nevertheless, the characteristics of the Norwegian cattle trade network and its implications for disease spread remains unknown. We aim to provide detailed descriptions of contact patterns to inform control of present diseases and prepare for introductions of new diseases. A transmission model using real livestock movement data will be established, and a new software for contact tracing will be developed to support practical disease control.
Surveillance of antibiotic use in terrestrial animals in Norway still relies on wholesale figures; lacking sufficient detail to enhance continued improvement of antimicrobial stewardship. As use is mandatory to report, detailed information exists and holds the potential for excellent surveillance of antibiotic use in the food chain. In the proposed project we will assess the quality and usability of prescription drug registry data and investigate antibiotic prescription patterns.
The project is interdisciplinary, exploiting collaboration between the veterinary and computer-science environment. The dairy co-operative, TINE, and the Norwegian Cattle Health Services, Animalia, are partners in the project, and stakeholders will participate in planning, implementation, and communication. Targeted information will be disseminated to farmers, veterinarians, advisors and governmental bodies.
