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CANSSI Prairies Workshop: Processing and Forecasting with Epidemic Surveillance Data

Friday, April 25, 2025 - 06:30 to 15:00
Daniel J. McDonald, Associate Professor, UBC Department of Statistics
Workshop
Hybrid (in person and on Zoom); University of Manitoba, Fort Gary Campus, Armes Building, Room 200

Description

In this workshop, I will demonstrate how to use R to load, process, inspect, and forecast aggregate epi surveillance data. I will be presenting a few case studies to motivate the entire pipeline from signal discovery to the production of nowcasts and forecasts. The focus will be on aggregate signals (not line list data), such as the counts of new hospitalizations per day per location. I will highlight three software packages our group is developing to aid in these tasks: epidat(r/py) for data acquisition, epiprocess for signal processing and exploration, and epipredict for producing forecasts. The sessions will include interactive worksheets and labs for hands-on practice. By the end, attendees will be equipped to produce forecasts for submission to the Canadian Respiratory ForecastHub.

Program Schedule

  1. Data Access, Versioning, and Revisions
  2. Nowcasting
  3. Rt Estimation, Renewal Equations and Compartmental Models
  4. Forecasting and Ensembling

Cost

  • Students: $30
  • Non-students: $50

Registration

This workshop is one of CANSSI Prairies Workshop Series in Data Science. Learn more and register for this talk here.