The goal of this project is to create a set of clinical condition categories based on explicit criteria for use in biosurveillance programs. The categories will be defined and keywords and ICD-9-CM diagnosis codes for implementation will be proposed.
The goal of this paper is to describe a methodology used to create a gold standard set of emergency department (ED) data that can subsequently be used to evaluate the sensitivity and specificity of syndrome definitions.
The Death Certificate Surveillance was implemented in October 2001 to enhance New Hampshire's ability to monitor for bioterrorism and other public health threats, such as communicable diseases and chemical exposures. In 2003, this surveillance system was automated. Death certificates become available for review by disease surveillance staff within 24 hours of filing. Learning objectives: 1. Discuss the value of death certificate surveillance in detecting communicable disease 2. Explain the death certificate review process 3. Describe how death certificate surveillance can be automated.
This paper investigates the use of data-adaptive multivariate statistical process control (MSPC) charts for outbreak detection using real-world syndromic data. The widely used EARS [1] methods and other adaptive implementations assume implicitly that nonsta-tionarity and/or the lack of historic data preclude the conventional Phase I/Phase II approach of SPC. This work examines that assumption formally by evaluating and comparing the false alarm rates and sensitivity of adaptive and non-adaptive MSPC charts applied to simulated outbreaks injected into both desea-sonalized and raw data.
This paper discusses selection of temporal alerting algorithms for syndromic surveillance to achieve reliable detection performance based on statistical properties and the epidemiological context of the input data. We used quantities calculated from brief data history to derive criteria for algorithm selection.
This presentation introduces the U.S. Department of Homeland Security (DHS) National Bio-Surveillance Integration System (NBIS) and the analytics functionality within the NBIS that integrates and analyzes structured and unstructured data streams across domains to provide inter-agency analysts with an integrated view of threat scenarios. The integration of Human and Animal incidences of Avian Influenza will be used to demonstrate initial capability.
OBJECTIVE This paper describes a series of data mining techniques used to gather and analyze and disseminate large amounts of data from numerous sources in English as well as Chinese. The objective of the analysis is to attempt to identify locations where the data may indicate a current or future outbreak of the A-H5N1 strain of the flu virus.
The objectives of the two day International Society for Disease Surveillance (ISDS) funded consultation were to develop expert, consensus-based recommendations that address specific, unanswered questions that hinder advances in cross border syndromic surveillance. The consultation included a discussion of the details of existing Canadian (Can) and United States (US) syndromic surveillance systems and the opportunities and challenges for new developments. Particular focus was placed on the ability to detect and respond to a bioterrorism event or infectious disease outbreak across borders.
Objective
To describe a standard set of criteria for identifying potentially important anomalies and to compare the criteria with several recent public health events.
This panel member consultation is an International Society of Disease Surveillance (ISDS) sponsored project. It involved expert personnel in their respective area to address specific, priority questions confronting researchers, developers, and public health practioners in the field of syndromic surveillance (SS). The objective of this consultation will be to develop expert, consensus-based recommendations that address specific, unsettled problems or unanswered questions that hinder advances in utilization of syndromic surveillance data in combination with other data sources. Recommendations arising from the consultation should facilitate efforts by researchers, developers, or practitioners to be able to stride ahead and make progress.