Displaying results 1033 - 1040 of 4177
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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 -
Design of Web-Based Detectability Evaluation Software that Interfaces with a Syndromic Surveillance System
Content Type: Abstract
To design detectability evaluation software that interfaces with the Realtime Outbreak and Disease Surveillance (RODS) System. -
Designing Epidemiological Networks for Real-world Surveillance Settings
Content Type: Abstract
This paper describes the syndromic networks paradigm and its application to various surveillance settings. -
Epidemiology of visceral leishmaniasis in Georgia
Content Type: Abstract
Visceral leishmaniasis (VL) is a zoonotic, protozoal infection that is endemic in Georgia, which commonly affects young children. In recent years, the incidence of VL has increased sharply and the geographic distribution has increased. Recently, VL… read more -
Detecting and Preventing Emerging Epidemics of Crime
Content Type: Abstract
We apply recently developed spatial biosurveillance techniques to the law enforcement domain, with the goal of helping local police departments to rapidly detect and respond to (or better yet, to predict and prevent) emerging spatial patterns of… read more -
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 -
Detecting Outbreaks and Other Clusters in Reportable Disease Data
Content Type: Abstract
Outbreaks of infectious diseases are identified in a variety of ways by clinicians and public health practitioners but not usually by analytic methods typically employed in syndromic surveillance. Systematic spatial-temporal analysis of statewide… read more -
Detecting Web Rumours with a Multilingual Ontology-Supported Text Classification System
Content Type: Abstract
Timely surveillance of disease outbreak events of public health concern currently requires detailed and time consuming manual analysis by experts. Recently in addition to traditional information sources, the World Wide Web … read more