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covid-19-hackathon

This repo originated as a part of a hackathon sponsored by Wei Shung Chung, and he created the stub data access code. Thanks to him for taking the initiative to get some data geeks going.

There are 2 summary videos you can watch about this too: Short version:https://www.youtube.com/watch?v=lLJR3ItY938

Long (statistical) version: https://www.youtube.com/watch?v=WjBVeD-_I-A

by_state_covid_analysis

This analysis code is described in this presentation: https://docs.google.com/presentation/d/1kIeD-NMUM554xr3uRPVTRH7SidZ2B7bgXLWpCiyDMXI/edit?usp=sharing

It is designed front-to-back to run in a Colab Jupyter notebook and updates with a very few changes (mostly to the dates of analysis).

We've done our best to document the data sets, methodology, assumptions and known caveats (most specifically the variance created by the lack of testing data).

Some original Reference Materials: Appendix

Resources

Covid-19 Updates

COVID-19 Maps

Datasets and Analysis

Journals

References

  1. The MIT License
  2. CC BY-SA 4.0 Licence

AI Solutions

Join Slack Channel for Discussion

Original Hackathon

If you want to work on other AI-related projects to improve mankind, email Wei Shung Chung at ai.for.mankind@gmail.com