Adjusting outbreak detection algorithms for surveillance during epidemic and non-epidemic periods.
Many aberration detection algorithms are used in infectious disease surveillance systems to assist in the early detection of potential outbreaks. In this study, we explored a novel approach to adjusting aberration detection algorithms to account for the impact of seasonality inherent in some surveillance data. By using surveillance data for hand-foot-and-mouth disease in Shandong province, China, we evaluated the use of seasonally-adjusted alerting thresholds with three aberration detection methods (C1 [...]
Author(s): Li, Zhongjie, Lai, Shengjie, Buckeridge, David L, Zhang, Honglong, Lan, Yajia, Yang, Weizhong
DOI: 10.1136/amiajnl-2011-000126