Unusual clusters of disease must be detected rapidly for effective public health interventions
to be introduced. Over the past decade there has been a surge in interest in statistical …

Outbreaks of infectious diseases must be detected early for effective control measures to be
introduced. When dealing with large amounts of data, automated procedures can usefully …

" 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 …

The traditional focus for detecting outbreaks of an epidemic or bio‐terrorist attack has been
on the collection and analysis of medical and public health data. Although such data are the …

The detection of unusual patterns in the occurrence of diseases and other health events
presents an important challenge to public health surveillance. This paper discusses three …

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 …

In England and Wales, a large‐scale multiple statistical surveillance system for infectious
disease outbreaks has been in operation for nearly two decades. This system uses a robust …

This article reviews the practical aspects of the use of ARIMA (autoregressive, integrated,
moving average) modelling of time series as applied to the surveillance of reportable …

An automated early warning system has been developed and used for detecting clusters of
human infection with enteric pathogens. The method used requires no specific disease …

Public health surveillance of emerging infectious diseases is an essential instrument in the
attempt to control and prevent their spread. This paper presents the R package …