Objective: Provide a library/API that ingests COVID-19 data to provide simulated outcomes based on local isolation/quarantine policy levers as represented in published models.

Check It Out in Jupyter

• R-Based Model
  • Source Code
• Penn-Chime
• Imperial College Model
• Astor Sq ICU Beds Model
• Epidemic Calculator built by Open AI member
• Hopkins IDD Model

See covid-data-public for data sources being used or considered.

This will run all models and generate data needed for the website, outputting to ../covid-projections/public/data.

./deploy_website.sh

Run all models, generate DoD datasets, output to ./dod_results/ folder:

./deploy_dod.sh

Run all models, generate DoD datasets, upload the files to S3 bucket specified by BUCKET_NAME.

BUCKET_NAME=<bucket name> ./deploy_dod.sh

If you've previously ran the full model, you can just re-run the DoD dataset part via:

# Output artifacts locally to dod_results/:
python deploy_dod_dataset.py
# Upload artifacts to S3 bucket:
BUCKET_NAME=<bucket name> python deploy_dod_dataset.py