Moriskin
Accuracy of risk prediction can increase when different data streams and models are combined. Therefore, MORISKIN will be built as a flexible framework, which can integrate several data streams and combine different models to provide the risk of disease entry, in space and time, adjusting the risk to transmissibility pathway and, if applicable, susceptibility profile of the animals present in defined areas. The framework of the prototype will be modular and generic, to be scalable to different diseases, including to new diseases. MORISKIN will also provide information regarding feasibility and methodologies through close collaboration with users and systematic literature review of techniques and models. A user needs’ survey will gain necessary information to apprehend the sustainability of the tool, in term of data accessibility and user requirements and constraints. Cases studies, based on historical data and real-time data, will be used to test the framework and provide recommendations to use it efficiently and to adapt it to other diseases.
MORISKIN will therefore offer an original alternative to apprehend the risk of entry of exotic and emerging diseases from countries in direct or indirect contact with Belgium ensuring to design targeted strategy of surveillance.