Displaying results 953 - 960 of 4177
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Identifying a Meningitis Case through Syndromic Surveillance: An Example of Detecting Events of Public Health Importance and Improving Situational Awareness
Content Type: Abstract
The purpose of this paper is to describe the use of the Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE) and its ability to use hospital emergency room data for situational awareness. -
Identifying and Modeling Spatial Patterns of Heat-Related Illness in New York City
Content Type: Abstract
This paper describes the spatial pattern of New York City (NYC) heat-related emergency medical services (EMS) ambulance dispatches and emergency department visits (ED) and explores how this information can be used in planning for and response to… read more -
Identifying Categories of Over-the-Counter Products with Superior Outbreak Detection Performance
Content Type: Abstract
A significant research topic in biosurveillance is how to group individual events—such as single emergency department (ED) visits and sales of over-thecounter healthcare (OTC) products—into counts of “similar” events. For OTC products, the goal is… read more -
BioSense 2.0 Webinar: Using Surveillance to Prepare and Respond to Winter Weather: Extreme Cold, Ice, and Snow
Content Type: Webinar
For much of the United States, 2014 began with extreme cold and large snowstorms. As a result, surveillance practitioners around the country have been working to identify, gather, and analyze cold weather-related data. This presentation will focus… read more -
Identifying Clusters of Falls During the 2007-08 Winter Season in the BioSense System
Content Type: Abstract
The purposes of this study are to identify and characterize increases in emergency department (ED) visits for falls during the 2007-08 winter season. -
Identifying Contextual Features to Improve the Performance of an Influenza-Like Illness Text Classifier
Content Type: Abstract
To understand the types of false positive cases identified by an Influenza-like illness (ILI) text classifier by measuring the prevalence of ILI-related concepts that are negated, hypothetical, include explicit mention of temporality, experienced by… read more -
Identifying Fractures in BioSense Radiology Reports
Content Type: Abstract
The purposes of this study are to validate a keyword-based text parsing algorithm for identifying fractures and compare radiology results with chief complaint and ICD-9 final diagnoses. -
Identifying Respiratory-Related Clinical Conditions from ED Reports with Topaz
Content Type: Abstract
Case detection from chief complaints suffers from low to moderate sensitivity. Emergency Department (ED) reports contain detailed clinical information that could improve case detection ability and enhance outbreak… read more