Displaying results 17 - 24 of 4200
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User Interface Design for a Biosurveillance System
Content Type: Abstract
INDICATOR provides an open source platform for biosurveillance and outbreak detection. Data sources currently include emergency department, patient advisory nurse, outpatient clinic, and school absence activity We are currently working with the… read more -
Education as a mechanism to reduce spread of brucellosis among at-risk populations in Uzbekistan
Content Type: Abstract
One goal of the Biological Threat Reduction Program of the US Defense Threat Reduction Agency is the enhancement of surveillance of especially dangerous pathogens of both humans and animals within countries of the former Soviet Union. One of the… read more -
Significant multiple high and low risk regions in event data maps
Content Type: Abstract
The Voronoi Based Scan (VBScan)[1] is a fast method for the detection and inference of point data set space-time disease clusters. A Voronoi diagram is built for points representing population individuals (cases and controls). The number of Voronoi… read more -
Automated chronic disease surveillance and visualization using electronic health record data
Content Type: Abstract
Chronic diseases are the leading causes of mortality and morbidity for Americans but public health surveillance for these conditions is limited. Health departments currently use telephone interviews, medical surveys, and death certificates to gather… read more -
Real-time Adaptive Monitoring of Vital Signs for Clinical Alarm Preemption
Content Type: Abstract
Cardiovascular event prediction has long been of interest in the practice of intensive care. It has been approached using signal-processing of vital signs [1-4], including the use of graphical models [3,4]. Our approach is novel in making data… read more -
Cloud Computing for Syndromic Surveillance
Content Type: Abstract
Two significant barriers to greater use of syndromic surveillance techniques are computational time and software complexity. Computational time refers to the time for many methods (for example, scan statistics and AMOEBA statistics) to create… read more -
in silico Surveillance: Highly detailed agent-based models for surveillance system evaluation and design
Content Type: Abstract
Modern public health surveillance systems have great potential for improving public health. However, evaluating the performance of surveillance systems is challenging because examples of baseline disease distribution in the population are limited to… read more -
Using Syndromic Surveillance to assist in a meningitis outbreak investigation
Content Type: Abstract
Beginning on March 13, 2011, ACDC experienced an unusual increase in reported bacterial meningitis cases in Los Angeles (LA) County. Early in the investigation, there were few epidemiological links between the cases. Three cases were homeless; two… read more