Abstract

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Preliminary Analysis of SaTScan's Effectiveness to Detect Disease Outbreaks
Track: Health and Human Services
Author(s): Akbar Sharip, Raymond Aller, Laurene Mascola, Curtis Croker, Bessie Hwang

To determine the usefulness of SaTScan as an outbreak detection tool, three emergency department's data from January through November 2004 was evaluated. The four syndromes studied were rash, respiratory, neurological, and gastrointestinal. Clusters found using retrospective analysis with p<0.5 were further tested by using the prospective analysis option with a 30-day baseline. Clusters detected by the prospective option were compared with known outbreaks and previous syndromic signals generated by a temporal aberration detection algorithm. SaTScan-identified clusters were displayed as a thematic map by using ArcMap 9.



The retrospective option found 59 clusters; 9 clusters with p<0.5 were further tested with the prospective option. A scabies and a rotavirus outbreak detected by temporal signals were also reported by SaTScan. A food poisoning outbreak not detected by the temporal signal detection system was observed by SaTScan. SaTScan has the potential to be a strong complement to the current purely temporal aberration detection system.

Akbar Sharip
LADHS
ACDC
313 N.Figuroa ST ####212
Los Angeles , CA 90012
US
Phone: 213-989-7208
E-mail: asharip@ladhs.org

Raymond Aller
LADHS
313 N. Figueroa St
Los Angeles , CA 90012
US
Phone: 213-989-7208
E-mail: raller@ladhs.org

Laurene Mascola
LADHS
ACDC
313 N. Figueroa St
Los Angeles , CA 90012
US
Phone: 213-989-7208
E-mail: lmascola@ladhs.org

Curtis Croker
LADHS
313 N. Figueroa St
Los Angeles , CA 90012
US
Phone: 213-989-7208
E-mail: ccroker@ladhs.org

Bessie Hwang
LADHS
313 N. Figueroa St
Los Angeles , CA 90012
US
Phone: 213-989-7208
E-mail: bhwang@ladhs.org