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Media Library
This category proposes photographies, sounds and audiovisual documents on thematics linked to ongoing globalisations. Some of these documents stem from international conferences and training sessions organised periodically by the GERM. Others have been handed to us by external contributors or stem from public domain. Their use by the site's visitors is free for their personal and professional (self)training, as long as the intellectual property rights of the authors concerned are respected.
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the articles
• The Real Existing Real Reality 2022
• Leçons de la « Grippe espagnole » de 1918-1919
• COVID-19 Dashboard by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins UniversityDocuments
• En qué estábamos pensandoAnalysis
• La crise du COVID-19 : Pas de retour à la "normalité" du capitalisme !
• Borders Of An Epidemic - COVID-19 And Migrant WorkersAnalysis
• Report on inequality in Europe: Tax harmonisation is the key to curb inequalityNon-press
• Poor working conditions are main global employment challengeNon-press
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COVID-19 Dashboard by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University
Author : Johns Hopkins University
Author : Johns Hopkins University
In response to this ongoing public health emergency, we developed an interactive web-based dashboard (static snapshot shown above) hosted by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University, to visualize and track reported cases in real-time. The dashboard, first shared publicly on January 22, illustrates the location and number of confirmed COVID-19 cases, deaths and recoveries for all affected countries. It was developed to provide researchers, public health authorities and the general public with a user-friendly tool to track the outbreak as it unfolds. Further, all the data collected and displayed is made freely available, initially as google sheets, now in a GitHub repository, along with the feature layers of the dashboard, which are now included in the ESRI Living Atlas. (source: https://systems.jhu.edu/research/public-health/ncov/)
