JSM 2005 Online Program

Abstract #303297

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	510
Type:	Topic Contributed
Date/Time:	Thursday, August 11, 2005 : 10:30 AM to 12:20 PM
Sponsor:	Section on Statisticians in Defense and National Security
Abstract - #303297
Title:	A Workflow Scan Statistic
Author(s):	Luiz Duczmal*+ and David L. Buckeridge
Companies:	University Federal de Minas Gerais and VA Palo Alto Health Care System/Stanford University
Address:	Campus Pampulha, Belo Horizonte MG, 31270 901, Brazil
Keywords:	Spatial cluster detection ; power evaluation ; public health practice ; aberration
Abstract:	Syndromic surveillance systems increasingly rely on spatial algorithms such as the spatial scan statistic to detect geographic clusters of cases. In many situations, home address is the only spatial information associated with surveillance records. If the exposure occurs in the workplace, reliance on home address may increase the apparent geographic dispersion of cases and reduce the power of detection using the usual spatial scan statistic. We propose a modification of the spatial scan statistic to account for the spatial mobility of individuals following exposure. The spatial scan statistic is modified to make use of a workflow matrix, which is derived from census data and gives the percentage of workers in each geographic subregion (e.g., county, ZIP code) employed in every other geographic subregion. We present results of simulations that show a significant increase in power in various exposure scenarios.

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