This project exists to crawl, scrape, de-duplicate, and cross-check COVID-19 pandemic data down to the county.
Every piece of data collected is accessible tagged with GeoJSON, population data, citations of the sources from which the data was obtained, and other related metadata.
Check out our Getting Started guide to help get our project running on your local machine.
You can contribute to this project in two big ways:
Check the Issues for any task we need to get done. If you are new to open source, look for the label Good first issue
Contributions for any place in the world are welcome. See the community-curated list of verified data sources to find a new data source to add, and be sure to update the "Scraped?" column when you do.
To help you contribute a new source, please read the Sources guide before you start!
Send a pull request with your scraper, and be sure to run the scraper first with the instructions specified in the guide to make sure the data is valid.
Li is licensed under Apache 2.0.
The data produced by this project is public domain.
This project uses data from ISO-3166 Country and Dependent Territories Lists with UN Regional Codes under the Creative Commons Attribution-ShareAlike 4.0 International License.
Please cite this project if you use it in visualization, reporting, or any derivative works that benefit from it.
This project's namesake, Li, was given in honor and observance of Dr. Li Wenliang.
COVID Atlas would also like to acknowledge the services provided by our hosting partner AWS.