MOnitoring Outbreak events for Disease surveillance in a data science context. H2020 Grant agreement ID: 874850
The H2020 MOOD project aims to harness state-of-the-art big data mining and analysis techniques to improve detection, monitoring and assessment of infectious disease (re-)emergence in Europe.
To this end, MOOD will establish a “one serves all” framework and visualization platform to generate (near) real-time analysis and interpretation of epidemiological and gene sequence data in combination with climate, environmental and socio-economic covariates under an integrated, inter-sectorial and interdisciplinary “One Health” approach.
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