Wavelet-Based Monitoring for Biosurveillance

TitleWavelet-Based Monitoring for Biosurveillance
Publication TypeJournal Article
Year of Publication2013
AuthorsShmueli, G.
JournalAxioms
Volume2
Issue3
Pages345-370
Abstract

Biosurveillance, focused on the early detection of disease outbreaks, relies on
classical statistical control charts for detecting disease outbreaks. However, such methods are
not always suitable in this context. Assumptions of normality, independence and stationarity
are typically violated in syndromic data. Furthermore, outbreak signatures are typically
of unknown patterns and, therefore, call for general detectors. We propose wavelet-based
methods, which make less assumptions and are suitable for detecting abnormalities of
unknown form. Wavelets have been widely used for data denoising and compression, but
little work has been published on using them for monitoring. We discuss monitoring-based
issues and illustrate them using data on military clinic visits in the USA.

URLhttp://www.mdpi.com/2075-1680/2/3/345
DOI10.3390/axioms2030345

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