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 …

Landscape epidemiology describes how the temporal dynamics of host, vector, and
pathogen populations interact spatially within a permissive environment to enable …

While mapped data provide a common ground for discussions between the public, the
media, regulatory agencies, and public health researchers, the analysis of spatially …

Background The ability to detect disease outbreaks early is important in order to minimize
morbidity and mortality through timely implementation of disease prevention and control …

There are many applications of control charts in health-care monitoring and in public-health
surveillance. We introduce these applications to industrial practitioners and discuss some of …

The spatial scan statistic is commonly used for geographical disease cluster detection,
cluster evaluation and disease surveillance. The most commonly used shape of the …

A high-level introduction to data mining as it relates to surveillance of healthcare data is
presented. Data mining is compared with traditional statistics, some advantages of …

The emergence of West Nile virus (WNV) in eastern North America in 1999 was a major
event in modern arbovirology, not because of its disease impact or the potential threat it …

West Nile virus is one member of the genus flavivirus, which includes mosquito-borne
viruses that cause similar disease patterns in much of the world. The other members of this …

We propose a new 'fast subset scan'approach for accurate and computationally efficient
event detection in massive data sets. We treat event detection as a search over subsets of …