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Development and Evaluation of a Data-adaptive Algorithm for Univariate Temporal Biosurveillance Data
Content Type: Abstract
Numerous recent papers have evaluated algorithms for biosurveillance anomaly detection. Common essential problems in the disparate, evolving data environment include trends, day-of-week effects, and other systematic behavior.… read more… 2007, Statistics in Medicine, available at http://www3.interscience.wiley.com/cgi- bin/fulltext/114131913/PDFSTART. 2. Brillman JC, … -
Implementation and Comparison of Preprocessing Methods for Biosurveillance Data
Content Type: Abstract
Modern biosurveillance relies on multiple sources of both prediagnostic and diagnostic data, updated daily, to discover disease outbreaks. Intrinsic to this effort are two assumptions: (1) the data being analyzed contain early indicators… read more… singularities” and will falsely report outbreaks when com- paring new counts to past low holiday values (2). … 25. CDC: CDC Syndromic Surveillance site 2006, [http://www. cdc.gov/mmwr/pdf/wk/mm54su01.pdf ]. 26. Farrington C, … Informatics and Decision Making 2005, 5:4:1–14, [http://www.biomedcentral.com/content/pdf/ 1472- 6947- 5- 4.pdf]. …