Displaying results 97 - 104 of 1295
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Amplification of Syndromic Surveillance's Role in Miami-Dade County
Content Type: Abstract
To describe how the Miami-Dade County Health Department (MDCHD) has expanded Electronic Surveillance System for the Early Notification of Community Based Epidemics (ESSENCE) for specialized research in addition to daily surveillance activities -
An Adaptive Anomaly Detection Algorithm
Content Type: Abstract
Ideal anomaly detection algorithms shoulddetect both sudden and gradual changes, while keeping the background false positive alert rate at a tolerable level. The algorithms should also be easy to use. Our objective was to develop an anomaly… read more -
An Efficient Approach to Map LOINC Concepts to Notifiable Conditions
Content Type: Abstract
The objective of this project was to develop an efficient method to map Logical Observation Identifier Names and Codes (LOINC) to notifiable conditions to accommodate future changes in standard laboratory test codes. -
BioSense 2.0 Webinar: Data Quality Checks and Assurance
Content Type: Webinar
Presenters Caleb Wiedeman and Harold Gil will describe some of the processes their organizations use to ensure the quality of data in BioSense v2.0. First, Caleb Wiedeman will review his normal routine of verifying data quality, including checking… read more -
Data quality visualization for aggregate surveillance data with application to now-casting
Content Type: Webinar
This webinar will present a set of tools developed for visualizing data quality problems in aggregate surveillance data, in particular for data which accrues over a period of time. This work is based on a data quality analysis of aggregate data used… read more -
An Emergency Department Based Syndromic Surveillance System for Meningitis and Encephalitis, Maricopa County, AZ 2004
Content Type: Abstract
We developed, implemented and evaluated Meningitis and Encephalitis (M/E) syndrome case definitions based on electronic Emergency Department (ED) chief complaint data; and assessed their ability to detect aberrations that correspond with M/E… read more -
An Enterprise Information Integration (EII) Approach for a Syndromic Surveillance System
Content Type: Abstract
A comprehensive definition of a syndrome is composed of direct (911 calls, emergency departments, primary care providers, sensor, veterinary, agricultural and animal data) and indirect evidence (data from schools, drug stores, weather etc.).… read more -
An Open Source Web Services Toolkit for Event Detection Algorithms
Content Type: Abstract
As major disease outbreaks are rare, empirical evaluation of statistical methods for outbreak detection requires the use of modified or completely simulated health event data in addition to real data. Comparisons of different techniques will be more… read more