Using temporal context to improve biosurveillance.

Context-aware Modeling for Spatio-temporal Data Transmitted from a Wireless Body Sensor Network

Context-aware systems must be interoperable and work across different platforms at any time and in any place. Context data collected from wireless body area networks (WBAN) may be heterogeneous and imperfect, which makes their design and implementation difficult. In this research, we introduce a model which takes the dynamic nature of a context-aware system into consideration. This model is con...

Situation Awareness-oriented Design (saod) and the Cdc Biophusion Center

Effective monitoring and accurate detection of potential disease outbreaks is critically dependent upon the situation awareness (SA) of health professionals. Quick and precise identification of an outbreak is needed to prevent the disease from spreading. Biosurveillance systems that focus on supporting SA may help improve the ability of health professionals to detect outbreaks and make decision...

A Spatio-temporal Methodology for Real-time Biosurveillance

In this paper we introduce a new spatio-temporal methodology for biosurveillance entitled the Repeated Two-sample Rank (RTR) procedure. It is designed to sequentially incorporate information from individual observations and thus can operate on data in real-time as it arrives into an automated biosurveillance system. In addition, upon a signal of a possible outbreak, the methodology suggests a w...

Decoupling Temporal Aberration Detection Algorithms for Enhanced Biosurveillance

Distributed Biosurveillance Systems Using Sensible Agent Technology to Improve Coordination and Communication among Decision - Makers

Protecting the population from chemical-biological attacks and outbreaks of infectious disease is a fundamental goal of health agencies, and early warning is critical for an effective response. However, such biosurveillance activities are inherently challenging due to the complexities involved in coordinating participants; determining the reliability of information; and drawing epidemiological ...