Displaying results 401 - 408 of 458
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Delineating Spatial Clusters with Artificial Neural Networks
Content Type: Abstract
Multiple or irregularly shaped spatial clusters are often found in disease or syndromic surveillance maps. We develop a novel method to delineate the contours of spatial clusters, especially when there is not a clearly dominating primary cluster,… read more… and R. J. Williams,1986. Lear- ning representations by back-propagating errors. Nature, 323:533- 536. [4] Teixeira, … -
Multiple Data Sources and Reverse Engineering Could Improve Sensitivity of Surveillance Algorithms
Content Type: Abstract
Clinicians can pursue the clinical findings for specific patients until reaching a diagnosis in real time. When using electronic ED complaints, one relies on symptoms volunteered by patients in the triage setting. Patients seek emergency… read more… and CSF orders by 3-fold. Six complaints (vomiting, back or neck pain, dizziness, rash, weakness) increased MEE … -
Simulation of Correlated Outbreak Signals for Early Aberration Reporting
Content Type: Abstract
The Early Aberration Reporting System was developed at the Centers for Disease Control and Prevention to help assist local and state health officials to focus limited resources on appropriate activities of public health… read more… of the signals injected divided by the total number of back- ground counts during the signal periods. Our result … -
Propagating the Effects of Missing Data Sources in a Surveillance System
Content Type: Abstract
A common problem in syndromic surveillance using ED department data is temporary gaps in the data received from individual ED departments caused by delays in receiving the data. Currently most syndromic surveillance systems provide information… read more… on the sources for derived data elements and tracing back to meta-data stored about the completeness of the data … -
Detecting Coherent Structures in Syndromic Time Series Using Wavelets
Content Type: Abstract
Temporally localized outbreaks occur in the presence of a complex background, greatly complicating both retrospective and real-time detection. Numerous techniques have been proposed for adjusting thresholds to account for this variable background.… read more… many other popular syndromic surveillance approaches to back- ground modeling. The energy in temporally local- ized … -
Electronic Integrated Disease Surveillance System (EIDSS)
Content Type: Abstract
The Threat Agent Detection and (TADR) Network currently supports the U.S. Government’s (USG) strategy for strengthening Biological Weapons Convention (BWC) compliance through focus on disease surveillance and investigations of … read more… cryption, low bandwidth requirements and communi- cations back-up technology allows the use of inex- pensive land or … -
North Carolina Bioterrorism and Emerging Infection Prevention System
Content Type: Abstract
NC BEIPS is a system designed and developed by the NC Division of Public Health (DPH) for early detection of disease and bioterrorism outbreaks or events. It analyzes emergency department (ED) data on a daily basis from 33 (29%) EDs in North… read more… duplicates and performing updates, but cannot be traced back to the original numbers. The SSL-encrypted portal is … -
Argus: A Global Detection and Tracking System for Biological Events
Content Type: Abstract
Objective. This paper describes Project Argus, a novel foreign biological event detection and tracking system.… and assessing a rapidly spreading epidemic, including the lack of a proper public health infrastructure in the country …