Displaying results 425 - 432 of 458
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The Utility of Patient Chief Complaint and ICD 9 Classifiers for the Influenza Sub-Syndrome
Content Type: Abstract
In order to detect influenza outbreaks, the New York State Department of Health emergency department (ED) syndromic surveillance system uses patients’ chief complaint (CC) to assign visits to respiratory and fever syndromes… read more… be improved, but much of the misclassification was due to lack of information in the CC and ICD9. Even after … -
Ellipse-Based Clustering Analysis Using a Time Series Algorithm
Content Type: Abstract
Many cities in the US and the Center for Disease Control and Prevention have deployed biosurveillance systems to monitor regional health status. Biosurveillance systems rely on algorithms that analyze data in temporal domain… read more… copes has MLLR. DISCUSSION The limit of the study is the lack of randomization test and rigorous evaluation. We are … -
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… represent- ing various types of outbreaks on top of that back- ground [3],[4]. With the introduction of the AHIC … -
Bayesian Methods for Syndromic Surveillance
Content Type: Abstract
Syndromic surveillance needs to be (1) transparent, (2) actionable, and (3) flexible. Traditional frequentist approaches to syndromic surveillance, such as cusum charts and scan statistics, tend to fail on all three criteria. First, the validity of… read more… analogous way). The mean of the Poisson is the sum of the back- ground rate for time period t and the product of an … -
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… signals. Sensitivity values were recorded for practical back- ground alert rates to compare algorithm detection … -
Reverse Engineering of a Syndrome Definition for Influenza
Content Type: Abstract
We report here on the use of the North Carolina Bioterrorism and Emerging Infection Prevention System (NC BEIPS, www.ncbeips.org) to reverse engineer a syndrome definition of influenza for the purpose of influenza surveillance.… identi- fication of many false positive records. Due to lack of recognition of negation terms (e.g. no headache vs. … -
Spatio-Temporal Visualizations as Interface: Constructing Geographic Animations of Disease Surveillance Data in a Syndromic Surveillance System
Content Type: Abstract
As the Georgia Division of Public Health began constructing a systems interface for its syndromic surveillance program, the nature and intended use of these data inspired new approaches to interface design. With the temporal and spatial components… read more… of zip code color gradients found that often there is a lack of sufficient contrast between shaded regions to fully … -
Impact of alternate diagnoses on the accuracy of influenza-like illness case definition used for H1N1 screening in the emergency department
Content Type: Abstract
In June 2009, the CDC defined a confirmed case of H1N1 as a person with an ILI and laboratory confirmed novel influenza A H1N1 virus infection. ILI is defined by the CDC as fever and cough and/or sore throat, in the absence of a known cause… read more… with alternate diag- noses can be difficult because of lack of available data, specifically lab results, which can …