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.
- R-Based Model
- 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