Blog

COVID-19 DataExplorer Map: Comparing Big Open Covid Data

Commissioned by the MOOD project to provide a visual analytics platform, the Montpellier Laboratory of Computer Science, Robotics and Microelectronics
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Analysis of the news media’s learning curve in covering COVID-19 can teach us about early detection of unknown diseases in a One Health context

What can we learn from analyzing news coverage of the early stages of the COVID-19 pandemic? Sarah Valentin, a PhD
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Insights on preparedness and vulnerability of African countries to COVID-19 give reason for hope and humility

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

Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China Intense non-pharmaceutical interventions were put in place
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Location data and disease: what have we learned about tracking epidemics?

A panel of experts will discuss what has been effective in using location data to track and manage previous disease
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Maps of human mobility change during the COVID-19 outbreak

      Downloads EU Global SHP Shapefile used to create mobility change maps (zip) EXCEL 1 Spreadsheet of data extracted
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MOOD COVID-19 Activities

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
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