Displaying results 433 - 440 of 1024
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Automated Surveillance To Detect An Influenza Epidemic: Which Respiratory Syndrome Should We Monitor?
Content Type: Abstract
OBJECTIVE Syndromic surveillance systems (SSS) seek early detection of infectious diseases outbreaks by focusing on pre-diagnostic symptoms. We do not yet know which respiratory syndrome should be monitored for a SSS to discover… read more… yet retained a sensitivity of 69-100% (Models 4 and 6). Com pared to the “respiratory” ICD-9 codeset used by CDC’s … -
Real Time EMS Events as Surrogate Events in Syndromic Surveillance
Content Type: Abstract
Prehospital EMS data is rarely mentioned in discus-sions surrounding syndromic surveillance for covert bio-terrorism attacks or for the … read more… plot and track entire populations of patients. Local com- munities should reach out to their out of hospital par- … -
Using School Sentinel Sites for the Early Detection of Influenza
Content Type: Abstract
As public health surveillance is becoming more and more prevalent, new sources of data collection are more evident. One such data source is school absenteeism. By monitoring the symptoms of illness recorded when students are… read more… Further Information: Ximena Somoza, xsomoza@clayhealth.com Advances in Disease Surveillance 2008;5:63 … -
Establishing a Syndromic Surveillance System Using Chief-Complaint Data at Emergency Department of One Regional Hospital in Taipei City to Detect Infectious Disease Outbreaks
Content Type: Abstract
Facing public health threats of bioterrorism and emerging infectious diseases (EID), the traditional passive surveillance system is not efficient and outmoded. Evidences reveal that several newly developed syndromic surveillance… read more… Dr. Chwan-Chuen King, cc_king99@hotmail.com Figure 1 –Comparison ILI patients selected by different … -
Natural Language Processing: Can it Help Detect Cases and Characterize Outbreaks?
Content Type: Abstract
Objective To demonstrate how natural language processing (NLP) of clinical records can contribute to case detection and characterization in biosurveillance. read more… notes brings information about disease symptoms that com- plements and enhances detection. Abstract 4: Can NLP be … -
Rapid Identification of Pneumonias in BioSense Data Using Radiology Text Reports
Content Type: Abstract
BioSense currently receives demographic and chief complaint data from more than 360 hospitals and text radiology reports from 36 hospitals. Detection of pneumonia is an important as several Category A bioterrorism diseases as well as avian influenza… read more… Armen Asatryan, MD, MPH E-mail: armen.asatryan@saic.com Advances in Disease Surveillance 2007;4:82 … -
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… for final diagnoses. ED visits rates with an asthma chief com- plaint or diagnosis were highest among 4-11 year olds … -
in silico Surveillance: Using Detailed Computer Simulations to Develop and Evaluate Outbreak Detection
Content Type: Abstract
Developing and evaluating outbreak detection is challenging for many reasons. A central difficulty is that the data the detection algorithms are “trained” on are often relatively short historical samples and thus do not represent the full… read more… Once developed, the same dearth of historical data com- plicates evaluation. In systems where only a count of …