COVID-19 Emergency Response Portal
The EU Commission has asked the H2020 MOOD Project coordination to provide all possible assistance to surveillance efforts of the…
MOOD H2020
Project Summary
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.
Our Latest Blog
What’s Hapenning
France is on a second lockdown to stop the second wave of #COVID-19. Closures & restrictions are impacting mobility at different spatial & temporal scales. Find out more in the new update. @Inserm #MOOD
https://tinyurl.com/y3xyem2e
#WestNileVirus lineages disperse faster in higher temperature areas & non-migratory birds or mosquito may play a significant role the virus' geographic spread, new #MOOD research finds. @UniofOxford @ULBruxelles @VIB_microbes
Full article in @nature at https://www.nature.com/articles/s41467-020-19122-z
On Dec 8 at 4pm, join #MOOD Executive Board member & @Inserm's @vcolizza's discussion on pitfalls, challenges, and opportunities to improve #Modelling & #BigData for #OutbreakResponse: pre- and post-#COVID-19. This event is open to everyone! Join via https://t.co/CeQWYZv7Yi
New #MOOD study 'Crowding and the shape of COVID-19 epidemics' pairs estimates with #data on human #mobility and predicts that crowded #cities could experience more prolonged #epidemics. #Covid #epidemiology #pandemic
Full article in @NatureMedicine: https://www.nature.com/articles/s41591-020-1104-0
