COVID-19 Data Hub

Funded by the Institute for Data Valorization IVADO, Canada.

The goal of COVID-19 Data Hub is to provide the research community with a unified dataset by collecting worldwide fine-grained case data, merged with exogenous variables helpful for a better understanding of COVID-19.

Supported Countries

In the News

• LexTech Institute, 03/2021
• CScience, 02/2021
• R Consortium, 02/2021
• University of Neuchâtel, 12/2020
• Quartier L!bre, 11/2020
• HEC Montréal, 09/2020
• Statistical Society of Canada, 06/2020
• Institute for Data Valorization, 06/2020
• Winner of the eRum2020 CovidR contest, 06/2020
• Data Science and Economics, University of Milano, 06/2020
• More Select COVID-19 Resources, 06/2020
• Top 50 R resources on Novel COVID-19 Coronavirus, 03/2020
• “Top 40” New CRAN Packages, 03/2020

See also the publications that use COVID-19 Data Hub.

Join the Mission

You are welcome to join and extend the number of supporting data sources as a joint effort against COVID-19. Contribute on GitHub, join us on Slack to get help, and earn a badge.

Authors

The project was initiated via the R package COVID19 developed by Emanuele Guidotti (University of Neuchâtel), leveraged by David Ardia (HEC Montréal) via the funding by IVADO, and enhanced and maintained by a growing open source community.

Logo courtesy of Gary Sandoz and Talk-to-Me.

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