Funded by the Institute for Data Valorization IVADO, Canada.
<style>.embed-container { position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden; max-width: 100%; } .embed-container iframe, .embed-container object, .embed-container embed { position: absolute; top: 0; left: 0; width: 100%; height: 100%; }</style>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.
- Institute for Data Valorization, Canada
- Winner of the eRum2020 CovidR contest
- Data Science and Economics, University of Milano
- More Select COVID-19 Resources
- Top 50 R resources on Novel COVID-19 Coronavirus
- March 2020: "Top 40" New CRAN Packages
See also the publications that use the COVID-19 Data Hub.
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.
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.
