Displaying results 1 - 3 of 3
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Benchmarking Temporal Surveillance Techniques
Content Type: Abstract
Benchmarking of temporal surveillance techniques is a critical step in the development of an effective syndromic surveillance system. Unfortunately, holding “bakeoffs” to blindly compare approaches is a difficult and often fruitless enterprise, in… read more… we dem- onstrate an approach for this process based on a com- mon analytical development and benchmarking with common … [1] Reis BY, Pagano M, Mandl KD, Using temporal con- text to improve surveillance, PNAS. 2003;100(4):1961- … -
Characterizing Repeated Outbreak Patterns in Influenza Time Series
Content Type: Abstract
In some influenza seasons, morbidity and mortality closely follow the expected seasonal variation. In these years, approaches such as SerflingÃs model and seasonal-based syndromic outbreak detectors, in use in EARS, work well. In other years,… read more… describes the amount of time localization, which in turn con- trols the frequency resolution. Note that the spectro- … and influenza mortality time series from 1996-2006 (www.cdc.gov/mmwr). A Hamming window of length 20 weeks in … – 981. Advances in Disease Surveillance 2007;2:62 http://www.cdc.gov/mmwr Characterizing Repeated Outbreak Patterns … -
Detecting Coherent Structures in Syndromic Time Series Using Wavelets
Content Type: Abstract
Temporally localized outbreaks occur in the presence of a complex background, greatly complicating both retrospective and real-time detection. Numerous techniques have been proposed for adjusting thresholds to account for this variable background.… read more… U.S. pneumonia and influenza death rates from 1996- 2006 (www.cdc.gov/mmwr). Figure 1(a) shows the time series, while … indicated by small p-values. 0 10 20 30 40 50 0 500 1000 co un ts 20 40 60 10 20 30 40 50 5 10 15 20 sc al e (d ay s) … 1998. Advances in Disease Surveillance 2007;2:51 http://www.cdc.gov/mmwr Detecting Coherent Structures in Syndromic …