Published November 4, 2021
| Version v0.4
Software
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cmu-delphi/covidcast-pnas: COVIDcast Papers and Code
Authors/Creators
- 1. Department of Statistics & Data Science and Machine Learning Department, Carnegie Mellon University
- 2. Department of Statistics, University of British Columbia
- 3. Department of Statistics & Data Science, Carnegie Mellon University
- 4. Department of Data Sciences and Operations, University of Southern California
- 5. Machine Learning Department, Carnegie Mellon University
- 6. Computational Biology Department, Carnegie Mellon University
Description
Code and data supporting Delphi's PNAS papers on our COVIDcast effort, published in the special issue "Beyond Cases and Deaths: The Benefit of Auxiliary Data Streams In Tracking the COVID-19 Pandemic".
Files
cmu-delphi/covidcast-pnas-v0.5.zip
Files
(45.9 MB)
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md5:377b6a1a7d206f22902a65ae57ea9b62
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Additional details
Related works
- Is supplement to
- https://github.com/cmu-delphi/covidcast-pnas/tree/v0.5 (URL)