Displaying results 1 - 8 of 69
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A Value-Driven Framework For The Evaluation Of Biosurveillance Systems
Content Type: Abstract
Evaluation and strengthening of biosurveillance systems is acomplex process that involves sequential decision steps, numerous stakeholders, and requires accommodating multiple and conflicting objectives. Biosurveillance evaluation, the initiating… read more -
Improving Detection of Call Clusters through Surveillance of Poison Center Data
Content Type: Abstract
The Centers for Disease Control and Prevention (CDC) uses the National Poison Data System (NPDS) to conduct surveillance of calls to United States PCs. PCs provide triage and treatment advice for hazardous exposures through a free national hotline.… read more -
Jurisdictional Usage of the New ESSENCE Word Alert Feature
Content Type: Abstract
Syndromic surveillance systems have historically focused on aggregating data into syndromes for analysis and visualization. These syndromes provide users a way to quickly filter large amounts of data into a manageable number of streams to analyze.… read more -
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 -
Automated Time Series Forecasting for Biosurveillance
Content Type: Abstract
The statistical process control (SPC) community has developed a wealth of robust, sensitive monitoring methods in the form of control charts [1]. Although such charts have been implemented for a wide variety of health monitoring purposes [2], some… read more -
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. -
Comparison of Regression Models with Modified Time Series Methods for BioSurveillance
Content Type: Abstract
To compare regression models with the modified C2 algorithm for analysis of time series data and real time outbreak detection. -
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