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
- Data Access, Versioning, and Revisions
- Nowcasting
- Rt Estimation, Renewal Equations and Compartmental Models
- 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.
