In RISKSUR, methods and tools have been developed that allow for design and evaluation of surveillance systems targeted at single or multiple objectives, i.e. detection of new or exotic diseases, proving freedom from disease or detection of cases of endemic disease. A particular emphasis was placed on the development of methods and tools that generate integrated outputs from different surveillance components, tailored to the needs of policy makers, represented by the veterinary administrations of France, Germany, the Netherlands, Spain, Sweden, Switzerland and the United Kingdom.
Decision-making frameworks for cost-effective animal health surveillance systems
RISKSUR has developed two flexible, science-based decision making frameworks for the design and evaluation of animal health surveillance systems tailored to dealing with various animal health threats in EU member states.
Each of the decision support frameworks have been applied to several case studies to assess their utility for the practical design of surveillance systems for detecting cases of endemic disease, to demonstrate freedom from disease and for early detection of exotic, new (emerging) or re-emerging disease and for the design of multi-objective surveillance systems. The policy-relevance of the frameworks were ensured by involving representatives from veterinary administrations of France, Germany, the Netherlands, France, Spain, Switzerland, Sweden, Spain and the United Kingdom, as well as other EU member states.
RISKSUR partners gained access to detailed data on livestock populations in relation to farm locations, individual animal data including movements and detailed data for selected animal diseases for France, Germany, the Netherlands, France, Spain, Switzerland, Sweden, Spain and the United Kingdom. The tools developed are therefore tailored to a range of different existing animal health information systems in EU member states.