CANSSI Prairies Workshop:

Processing and Forecasting with Epidemic Surveillance Data

Schedule

In this workshop, we plan to demonstrate how to use R to load, process, inspect, and forecast aggregate epi surveillance data. We will be presenting a few case studies to motivate the entire pipeline from signal discovery to the production of nowcasts and forecasts.

1. Lecture 1: Introduction to Panel Data
2. Lecture 2: Data Cleaning, Versioning, and Nowcasting
3. Lecture 3: Compartmental Models, Renewal Equations, and \(R_t\) Estimation
4. Lecture 4: Forecasting and Advanced Topics

Worksheet

Contributors and collaborators

Instructor: Daniel J. McDonald

With help from:

• Ryan J. Tibshirani
• Logan C. Brooks
• Rachel Lobay
• Alice Clima
• Olivia Liu, Elvis Cai, and Paul Gustafson