Displaying results 1 - 8 of 32
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BioSense Participation by Non-Federal Hospitals
Content Type: Abstract
BioSense is a national program designed to improve the nation’s capabilities for conducting disease detection, monitoring, and real-time situational awareness. Currently, BioSense receives near real-time data from non-federal hospitals, as well as… read more -
BioSense Real-Time Data Initiative: Improving Emergency Preparedness- Monitoring Injury Sub-Syndromes
Content Type: Abstract
Analysis of the BioSense data facilitates the identification, tracking, and management of emergent and routine health events, including potential bioterrorism events, injury related incidents and rapidly spreading naturally occurring events (1).… read more -
Burns Reported to the BioSense System During the Independence Day Holiday
Content Type: Abstract
Each year, more than two-thirds of all fireworksrelated injuries occur during June 16-July 16 [1]. During the 2006 July 4th holiday weekend, thousands of people were treated in emergency departments (EDs) for fireworks-related injuries [2]. Over 50… read more -
Clostridium Difficile, Surveillance Using Laboratory Data from BioSense Hospitals
Content Type: Abstract
To determine the feasibility of using BioSense laboratory data to do surveillance on Clostridium difficile infection (CDI) and calculate overall and facility rates of disease. -
Comparison of Regression Models with Modified Time Series Methods for BioSurveillance
Content Type: Abstract
To compare regression models with the modified C2 algorithm for analysis of time series data and real time outbreak detection. -
Defining Clinical Condition Categories for Biosurveillance
Content Type: Abstract
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. -
A Pilot Study of Aberration Detection Algorithms with Simulated Data
Content Type: Abstract
To evaluate four algorithms with varying baseline periods and adjustment for day of week for anomaly detection in syndromic surveillance data. read more -
Advanced Querying Features for Disease Surveillance Systems
Content Type: Abstract
Automated disease surveillance systems that analyze data by syndrome categories have been used to look for outbreaks of disease for about 10 years. Most of these systems notify users of increases in the prevalence of reports in syndrome categories… read more