Near real-time space-time cluster analysis for detection of enteric disease outbreaks in a community setting

Objectives To enhance timely surveillance of bacterial enteric pathogens, space-time cluster analysis was introduced in Israel in May 2013. Methods Stool isolation data of Salmonella, Shigella, and Campylobacter from patients of a large Health Maintenance Organization were analyzed weekly by ArcGIS and SaTScan, and cluster results were sent promptly to local departments of health (LDOHs). Results During eighteen months, we identified 52 Shigella...