COVID-19 Prediction Models Counties & Hospitals | Yu Group (UC Berkeley)
Provided By: Rearc
COVID-19 Prediction Models Counties & Hospitals | Yu Group (UC Berkeley)
Provided By: Rearc
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.
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$0 for 12 months
Overview
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 .
Product Desciption
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
- Source: Yu Group | UC Berkeley
- Dataset License
- Yu Group | COVID-19 Severity Prediction Homepage
- Yu Group | GitHub Repository for COVID-19 Severity Prediction
- Frequency: Daily
- Formats: XLSX, CSV
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 :heart:.
- 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 data@rearc.io.
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.
Provided By
Fulfillment Method
AWS Data Exchange
Data sets (1)
You will receive access to the following data sets
Revision access rules
All historical revisions | All future revisions
Name | Type | Data dictionary | AWS Region |
---|---|---|---|
COVID-19 Severity Prediction Models Counties and Hospitals | Yu Group (UC Berkeley) | Not included | US East (N. Virginia) |
Usage information
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Refunds Not Applicable
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