Note: This is an open invitation, and may be forwarded to interested parties.
This presentation will review the basic statistical techniques to detect aberrant events and some of the common applications in public health practice. The purpose of these statistical techniques is to distinguish between random variation (noise) and a true signal of change in disease rates. The session will begin with an overview of using moving averages and other methods such as cumulative sums (Cusum), followed by a brief overview of adjustment for seasonal trends. The session will end with a review of commonly used programs such as EARS, NESP, and the Cusum application.
Note: Some basic statistical understanding of averages, standard deviation, and probability is required.
Presenters: Lennon Li and Ian Johnson
Lennon Li is a biostatistician at Public Health Ontario. He has a doctorate in biostatistics from the University of Toronto. His main interests are in the areas of temporal and spatial clusters.
Ian Johnson is a scientific advisor at Public Health Ontario. He is a public health physician and currently the principal investigator on a study evaluating syndromic surveillance systems.
Public Health Ontario Grand Rounds are approved for continuing medical education from the Royal College of Physicians and Surgeons. For more information, contact email@example.com
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