Displaying results 1 - 8 of 9
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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 -
Automated Monitoring of Asthma Using the BioSense System
Content Type: Abstract
In 2006, approximately 6.8 million children and 16.1 million adults were reported to have asthma in the US. The CDC BioSense System currently receives data from >540 hospital emergency departments (EDs; 522 send patient chief… read more -
Automated Monitoring of Exposures Using the BioSense System
Content Type: Abstract
BioSense is a national automated surveillance system designed to enhance the nation's capability to rapidly detect and quantify public health emergencies, by accessing and analyzing diagnostic and prediagnostic health data. The… 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 -
Criteria for Prioritizing Statisitical Anomalies Identified in BioSense
Content Type: Abstract
Objective To describe a standard set of criteria for identifying potentially important anomalies and to compare the criteria with several recent public health events. read more -
Early Aberration Reporting System (EARS) update: present and future
Content Type: Abstract
Early Aberration Reporting System (EARS, US Centers for Disease Control and Prevention, EARS Program, MS C-18, Atlanta, GA, USA) is a freeware surveillance tool that can be downloaded from the Center for Disease Control and… read more -
Syndromic Prediction Power: Comparing Covariates and Baselines
Content Type: Abstract
The eleven syndrome classifications for clinical data records monitored by BioSense include rare events such as death or lymphadenitis and also common occurrences such as respiratory infections. BioSense currently uses two statistical methods for… read more -
The Use of BioSense Data for Surveillance of Gastrointestinal Illness
Content Type: Abstract
The BioSense system currently receives real-time data from more than 370 hospitals, as well as national daily batched data from over 1100 Department of Defense and Veterans Affairs medical facilities. BioSense maps chief… read more