Displaying results 505 - 512 of 857
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Early Identification of Salmonella Cases Using Syndromic Surveillance
Content Type: Abstract
On June 7, 2008, federal food protection and public health agencies alerted consumers of a nationwide outbreak of Salmonella Saintpaul infections. As of June 30, 2008, 851 persons infected with Salmonella Saintpaul with the same… read more… visited the ED on Jun 6 and information regarding that visit was available in ESSENCE the following day. The case … -
Learning Outbreak Regions for Bayesian Spatial Biosurveillance
Content Type: Abstract
This work incorporates model learning into a Bayesian framework for outbreak detection. Our method learns the spatial characteristics of each outbreak type from a small number of labeled training examples, assuming a generative outbreak model with… read more… outbreaks injected into real-world Emergency Department visit data from Allegheny County, PA. In the simulations … -
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… for detecting anomalies in daily emergency depart- ment visit data for 130 hospitals with 6 syndrome categories. … -
Use of Syndromic Surveillance during a South Florida Mass Migration Exercise, Broward County
Content Type: Abstract
On March 7th and 8th of 2007 authorities from federal, state, county, and municipal jurisdictions/agencies having mass migration response responsibilities (as per the Department of Homeland Security Operation Vigilant Sentry, as well as… read more… resident and hospital zip code, hospital name, time of visit, and chief complaint text. If clustering of these … -
The Tradeoffs Driving Policy and Research Decisions in Biosurveillance
Content Type: Abstract
Every public health monitoring operation faces important decisions in its design phase. These include information sources to be used, the aggregation of data in space and time, the filtering of data records for required… read more… alerting methods, we used 3 years of outpatient clinic visit data in which records were classified by syndrome and … -
Emergency Syndromic Surveillance: Adapting Real-Time Outbreak and Disease Surveillance (RODS) for Public Health in Canada
Content Type: Abstract
In September 2004, Kingston, Frontenac and Lennox and Addington Public Health began a 2-year pilot project to develop and evaluate an Emergency Department Chief Complaint Syndromic Surveillance System in collaboration with the Ontario Ministry… read more… captured in real-time: chief complaint, data/time of visit, hospital name, age, gender and 5- digit postal code … -
Maximum Entropy Models in Chief Complaint Classification
Content Type: Abstract
This paper describes a novel approach to the statistical classification of free-text chief complaints for the purpose of syndromic surveillance.… geographic and temporal features of the patient and/or visit could also potentially augment the model. Other … -
Classification of Emergency Department Syndromic Data for Seasonal Influenza Surveillance
Content Type: Abstract
We evaluated several classifications of emergency department (ED) syndromic data to ascertain best syndrome classifications for ILI.… with ED data. We used 6 classifications of ILI ED visit data for this analysis: (1) A chief complaint with …
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