Displaying results 1 - 6 of 6
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Visits with Nontyphoidal Salmonella Infections Reported to the BioSense System, 2006-2007
Content Type: Abstract
Biosurveillance systems typically receive free- text chief complaint and coded diagnosis data, however this data has limited specificity for notifiable disease surveillance. The Biosense System receives chief complaint and/or diagnosis data from… read more… a Category B bioterrorist agent. Objective To describe visits reported from BioSense hospitals with non-typhoidal … or sub-syndrome). Laboratory results were reported for 70 patients with findings of nontyphoidal Salmonella … -
Performance Characteristics of Control Chart Detection Methods
Content Type: Abstract
To recognize outbreaks so that early interventions can be applied, BioSense uses a modification of the EARS C2 method, stratifying days used to calculate the expected value by weekend vs weekday, and including a rate-based method… read more… and including a rate-based method that accounts for total visits. These modifications produce lower residuals … and including a rate-based method that accounts for total visits (2). These modifications produce lower residuals … count vs rate methods, the latter accounting for total visits (i.e., both visits assigned and not assigned to a … -
Evaluation of Spatial Estimation Methods for Cluster Detection
Content Type: Abstract
CDC’s BioSense system provides near-real time situational awareness for public health monitoring through analysis of electronic health data. Determination of anomalous spatial and temporal disease clusters is a crucial part of… read more… find irrelevant clusters, and clusters of importance may be missed. While many studies have focused on improved … will find irrelevant clusters, and clusters of importance may be missed. While many studies have focused on improved … find irrelevant clusters, and clusters of importance may be missed. While many studies have focused on improved … -
Synthesizing the American Health Information Community’s Minimum Data Set
Content Type: Abstract
One of the challenges facing developers and users of automated disease surveillance systems is being able to accurately evaluate the performance of their systems for the wide variety of public health threats that are possible. A… read more… outbreaks are typically not public health emergencies and may not represent signals of interest. Another approach is … breaks are typically not public health emergencies and may not represent signals of interest. Another approach is … identifying features. Additional synthetic outbreak cases may be inserted into the real but modified background AHIC … -
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… models: day-of-week, holiday, total daily health facility visits, and a trend variable (date). Models using different … were computed for syndromic counts of lymphadenitis visits, to represent rare syndromes, respiratory visits, to represent common syndromes, and gastrointestinal … -
Data-Adapted Temporal Alerting Algorithms for Routine Health Monitoring
Content Type: Abstract
This paper discusses selection of temporal alerting algorithms for syndromic surveillance to achieve reliable detection performance based on statistical properties and the epidemiological context of the input data. We used quantities calculated from… read more… alerting algorithms involve four steps: preconditioning, com- putation of expected values, computation of test sta- … From these results, simple data classification schemes may be automated to choose an effective algorithm for a … streams.” Mor- bidity Mortality Weekly Report 2005 Aug 26;54 Suppl:55-62. Further Info.: Howard Burkom, …