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.
Download the data
All the data are provided at the download centre.
Unified dataset
The dataset includes an extensive list of epidemiological variables, several policy measures by Oxford’s government response tracker, and a set of external keys to match the data with Google and Apple mobility reports, with the Hydromet dataset, and with spatial databases such as Eurostat for Europe or GADM worldwide.
Software packages
We release R and Python packages to simplify the interaction with the Data Hub. In general, it is possible to import the data in any software by reading the CSV files provided at the download centre.
Data transparency
The data acquisition pipeline is open source. All the code used to generate the data files can be found at our GitHub repository. In principle, one can use the function covid19 from the repository to generate the same data we provide at the download centre. However, this takes between 1-2 hours, so that downloading the pre-computed files is typically more convenient. Here we provide the full list of data sources from which the data are pulled.
Research reproducibility
As most governments are updating the data retroactively, we provide vintage data to simplify reproducibility of academic research. These are immutable snapshots of the data taken each day. We gratefully acknowledge financial support by the R Consortium in maintaining the vintage data.
Academic publications
See the publications that use COVID-19 Data Hub.
Latest news
- 29/03/2022: The implementation details and the latest version of the data are described in “A worldwide epidemiological database for COVID-19 at fine-grained spatial resolution”, Scientific Data (Nature). Read here: https://doi.org/10.1038/s41597-022-01245-1
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
Contribute
If you find some issues with the data, please report a bug at our GitHub repository. Suggestions about where to find data that we do not currently provide are also very welcome! Help our project grow: star the repo!
StarTerms of use
By using COVID-19 Data Hub, you agree to our terms of use.
