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 -
Evaluation of Exposure-Type Stratification to Improve Poison Center Surveillance
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 poison centers (PCs) to identify clusters of reports of hazardous exposures and illnesses. NPDS stores… read more -
Refinement of a Population-Based Bayesian Network for Fusion of Health Surveillance Data
Content Type: Abstract
The ESSENCE demonstration module was built to help DoD health monitors make routine decisions based on disparate evidence sources such as daily counts of ILI-related chief complaints, ratios of positive lab tests for influenza, patient age… read more -
Use of Syndromic Data to Determine Oral Health Visit Burden on Emergency Departments
Content Type: Abstract
Concern over oral health-related ED visits stems from the increasing number of unemployed and uninsured, the cost burden of these visits, and the unavailability of indicated dental care in EDs [1]. Of particular interest to NC state public health… 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 -
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.