Comparing Syndromic Surveillance Detection Methods: EARS' Versus a CUSUM-Based Methodology
Fricker, Ronald D. Jr.
Hegler, Benjamin L.
Dunfee, David A.
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This paper compares the performance of three detection methods, entitled C1, C2, and C3, that are implemented in the early aberration reporting system (EARS) and other syndromic surveillance systems versus the CUSUM applied to model-based prediction errors. The cumulative sum (CUSUM) performed signiﬁcantly better than the EARS’ methods across all of the scenarios we evaluated. These scenarios consisted of various combinations of large and small background disease incidence rates, seasonal cycles from large to small (as well as no cycle), daily effects, and various types and levels of random daily variation. This leads us to recommend replacing the C1, C2, and C3 methods in existing syndromic surveillance systems with an appropriately implemented CUSUM method. Published in 2008 by John Wiley & Sons, Ltd.
Statistics in Medicine, 27, 3407-3429.The article of record as published may be located at http://dx.doi.org/10.1002/sim.3197
RightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.