Due to the ongoing desire for healthcare performance improvement, the latest outbreaks of
the avian influenza, and the continuing bioterrorism threat, there is an urgent need for …

Modern biosurveillance is the monitoring of a wide range of prediagnostic and diagnostic
data for the purpose of enhancing the ability of the public health infrastructure to detect …

A challenge, in the era of economic crisis and uncertainty, is to provide health care services
in an efficient and effective manner. The protection of public health, the provision of quality …

The objective of this paper is to evaluate a panel of statistical algorithms for temporal
outbreak detection. Based on a large dataset of simulated weekly surveillance time series …

" While the public health philosophy of the 20th Century--emphasizing prevention--is ideal
for addressing natural disease outbreaks, it is not sufficient to confront 21st Century threats …

There is an extensive list of methods available for the early detection of an epidemic signal
in syndromic surveillance data. However, there is no commonly accepted classification …

Syndromic surveillance systems continuously monitor multiple pre-diagnostic daily streams
of indicators from different regions with the aim of early detection of disease outbreaks. The …

Data access limitations have stifled COVID-19 disparity investigations in the United States.
Though federal and state legislation permits publicly disseminating de-identified data …

Abstract Multivariate Syndromic Surveillance (SyS) systems that simultaneously assess and
combine information from different data sources are especially useful for strengthening …

Choosing the syndrome time series to monitor in a syndromic surveillance system is not a
straight forward process. Defining which syndromes to monitor in order to maximize …