Abstract:
|
In March 2020, the Delphi group at Carnegie Mellon University launched an effort called COVIDcast, which has many parts: 1. unique relationships with partners in tech/healthcare granting us access to data on pandemic activity; 2. infrastructure to build real-time, geographically-detailed COVID-19 indicators from this data; 3. a historical database of all indicators, including revision tracking; 4. a public API serving new indicators daily (with R and Python client support); 5. interactive graphics to display our indicators; 6. forecasting and modeling work building on the indicators. This talk gives a high-level summary, with discussion of some lessons learned.
|