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.

Latest Developments

Analysis of the news media’s learning curve in covering COVID-19 can teach us about early…

What can we learn from analyzing news coverage of the early stages of the COVID-19 pandemic? Sarah Valentin, a PhD…

Insights on preparedness and vulnerability of African countries to COVID-19 give reason for hope and…

How will different African countries be affected by the spread of COVID-19 and what can we learn about its importation…

2020 Christmas Event Recap

Before the Covid-19 outbreak, it was common for scientists to meet and share ideas and experiences frequently. Mobility and social…