Displaying results 1 - 2 of 2
-
Multivariate Count Time Series Modeling of Surveillance Data
Content Type: Webinar
Surveillance data on various notifiable diseases usually consist of multiple time series of daily, weekly, or monthly counts of new infections. Data are typically reported in several strata defined through administrative geographical areas, gender… read more -
Aberration Detection in Public Health Surveillance using the R package surveillance
Content Type: Webinar
Presented September 21, 2015. This session is about the surveillance R package as a tool for performing prospective outbreak detection in routine collected surveillance data. Michael Höhle will discuss the data structure, invocation of… read more