Displaying results 1217 - 1224 of 4182
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Analyses of National Syndromic Surveillance Data: Real-Time Hospital, Veterans Affairs (VA) & Department of Defense (DoD) Data
Content Type: Abstract
Since July 2004 the BioSense program at the Centers for Disease Control and Prevention (CDC) has received data from DoD military and VA outpatient clinics (not in real time). In January 2006 real-time hospital data (e.g. chief complaints and… read more -
Analysis of Notifiable Diseases Detected by Syndromic Surveillance in Taiwan
Content Type: Abstract
The paper outlined the major findings and statistical results of syndromic surveillance system in Taiwan since year 2000. -
Analysis of Syndrome Definitions for Gastrointestinal Illness with ICD9 Codes for Gastroenteritis during the 2006-07 Norovirus Season in Boston
Content Type: Abstract
We report on a retrospective analysis of gastrointestinal syndrome definitions based on chief complaints and ICD9 diagnosis for gastroenteritis during the 2006-07 season of increased norovirus activity. -
Anomaly Pattern Detection for Biosurveillance
Content Type: Abstract
We propose a new method for detecting patterns of disease cases that correspond to emerging outbreaks. Our Anomaly Pattern Detector (APD) first uses a "local anomaly detector" to identify individually anomalous records and then searches over subsets… read more -
Anonymization of Spatial Data by Gaussian Skew: Is Re-Identification Possible?
Content Type: Abstract
To evaluate the robustness of a spatial anonymization algorithm for syndromic surveillance data against a triangulation vulnerability attack. `BACKGROUND We have published an anonymization algorithm that takes precise point locations for patients… read more -
Antiviral Prescription Data to Enhance Influenza Surveillance
Content Type: Abstract
Influenza surveillance provides public health officials and healthcare providers with data on the onset, duration, geographic location, and level of influenza activity in order to guide the local use of interventions. The Influenza Sentinel Provider… read more -
Application of Natural Language Parsers To Syndromic Surveillance
Content Type: Abstract
This paper describes a methodology for applying natural language parsing (NLP) technologies, originally developed for analyzing biomedical journal articles, to the monitoring of emergency department patient charts for infectious diseases of interest. -
Application of Nonlinear Data Analysis Methods to Locating Disease Clusters
Content Type: Abstract
Objective Cluster detection with a mechanism for reducing false alarms and increasing sensitivity.