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…
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
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…
On Dec 15, 2020, the MOOD team gathered virtually to recap and highlight the project’s achievements, peer-reviewed publications and COVID-19 research activities. The first annual MOOD Christmas event also served as a way to reconnect, albeit online.
https://mood-h2020.eu/2020-christmas-event-recap/
What can we learn from analyzing news coverage of the early stages of the COVID-19 pandemic?
Sarah Valentin explains how online media monitoring tools such as PADI Web can help us learn about disease emergence and detection. #OneHealth #DataScience #COVID
https://tinyurl.com/y62p9exc
Following a presentation and interview with @mariusgilbert, we are happy to present this article about 'Insights on preparedness and vulnerability of #African countries to #COVID-19 give reason for hope and humility.' #MOOD #Africa #China #DataScience
https://bit.ly/2KO4j2w
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
