Displaying results 609 - 616 of 899
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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. … -
Where are the data? Accuracy of automated EHR reporting
Content Type: Abstract
Over 300 independent practices transmit monthly quality reports to a data warehouse using an automated process to summarize patient information into quality measures. All practices have implemented an EHR that captures clinical information to be… read more… 3278 patients at 46 practices. Chart reviewers collected visit-based information on patients’ diagnoses, vitals, … -
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 … -
Fast and Flexible Outbreak Detection by Linear-Time Subset Scanning
Content Type: Abstract
The spatial scan statistic [1] detects significant spatial clusters of disease by maximizing a likelihood ratio statistic over a large set of spatial regions. Typical spatial scan approaches either constrain the search regions to… read more… spatial scans, with and without LTSS, on 281 days of ED visit data from 88 Allegheny County zip codes. Various scan … -
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 …