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COVID-19 Severity Prediction Models Counties and Hospitals | Yu Group (UC Berkeley)

The source code outlining how this product gathers, transforms, revises and publishes its datasets is available at https://github.com/rearc-data/covid-19-yu-group.

Main Overview

Yu Group at UC Berkeley is working to help forecast the severity of the COVID-19 epidemic both for individual counties and individual hospitals. This release contains datasets for the Prediction and Severity Index models produced by Yu Group.

Data Sources

The datasets included with this resouce are provided in XLSX and CSV format.

  • County-level Predictions Data (county-predictions.xlsx, county-predictions.csv)
  • COVID Severity Index (severity-index.xlsx, severity-index.csv)

More Information

Contact Details

  • If you find any issues with or have enhancement ideas for this product, open up a GitHub issue and we will gladly take a look at it. Better yet, submit a pull request. Any contributions you make are greatly appreciated ❤️.
  • If you are looking for specific open datasets currently not available on ADX, please submit a request on our project board here.
  • If you have questions about the source data, please contact a member of Yu Group.
  • If you have any other questions or feedback, send us an email at [email protected].

About Rearc

Rearc is a cloud, software and services company. We believe that empowering engineers drives innovation. Cloud-native architectures, modern software and data practices, and the ability to safely experiment can enable engineers to realize their full potential. We have partnered with several enterprises and startups to help them achieve agility. Our approach is simple — empower engineers with the best tools possible to make an impact within their industry.