Since its beginning in January 2020, the MOOD project is aiming at developing innovative tools and services for the early detection, assessment, and monitoring of current and future infectious disease threats across Europe in the context of continuous global, environmental, and climatic change. To make this possible, proactive collaborations must be built between future users of the project outputs and MOOD researchers. To reinforce and establish these interactions, MOOD has invited various end-users to participate in the first online user consultation on July 13, 2021.
This virtual meeting provided the opportunity to the MOOD research teams to present not only the project overview, but also the MOOD innovation strategy and to illustrate five case studies at the centre of MOOD strategic workflow.
Here you can find the most important material from the event.
Videos and presentations:
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1. MOOD Global Presentation and Overview of User Needs for Innovation
2. Five case studies for showcasing data science driven solutions to address identified user needs
3. Epidemiological data and covariates to support MOOD risk assessments
4. Innovative text-mining approaches for improving Event-based surveillance systems
Presented by Mathieu Roche – WP2 & WP3 subtask leader (Cirad, France)
5. The analysis of surveillance data can contribute developing ways to diseases control
Presented by Jean Artois – WP4 subtask leader (ULB, Belgium)
6. Accessing and using MOOD’s innovative tools
Presented by Cedric Marsboom – WP5 leader (Avia-GIS, Belgium)