Page last revised: June 28, 2010

 

Workshop - Introduction to Space-Time Disease Surveillance, August 24th and 25th, 2009

Day one of the workshop focused on spatial analysis of disease data in a GIS environment, spatial statistics, and analysis scenarios for cluster analysis and cluster detection. Topics covered included detection of clustering of disease in historical disease data, focused cluster analysis, and spatial cluster detection.

Day two of the workshop covered prospective space-time disease analysis and surveillance. A combined format of lectures, software demonstrations, and hands-on exercises were used to provide a balance of theoretical understanding and practical skills development. Upon completion of this workshop, participants were able describe statistical concepts underlying disease surveillance methods, summarize theoretical and operational issues involved in the use of space-time disease surveillance methods in a variety of analytic scenarios, and perform, parameterize, and interpret, space-time disease surveillance analysis using SaTScan software.

Instructors - Colin Robertson, PhD Candidate, University of Victoria, Dr. Ying MacNab, Associate Professor, School of Population and Public Health, UBC, Dr. Andrew Lawson, Professor, The Arnold School of Public Health, University of South Carolina.

Prerequisite - Attendees should have knowledge of basic statistics.

Audience - This workshop was targeted to health geomatics professionals, public health workers, researchers, and epidemiologists.