Displaying results 297 - 304 of 2343
GraphScan: Detection and Analysis of Free-Form Spatio-Temporal Patterns
Content Type: Abstract
By capturing the spatio-temporal organization of the data using a graph, GraphScan avoids the challenges associated with trying to āfitā incoming data into moving windows of predefined shapes and sizes. Whereas the popular space-time permutationā¦ read moreGreater Pathogenicity of Norovirus Strains in 2003? A Syndromic Approach
Content Type: Abstract
Although norovirus (NoV) is the most common cause of acute gastroenteritis (ewinter vomiting diseaseĆĀ), its contribution to mortality remains unknown and may be an unrecognized problem [1]. In Europe a genetic shift in circulating NoV strains wasā¦ read moreGUARDIAN: Geographic Utilization of Artificial Intelligence in Real-Time for Disease Identification and Notification
Content Type: Abstract
Real-time disease surveillance is critical for early detection of the covert release of a biological threat agent (BTA). Numerous software applications have been developed to detect emerging disease clusters resulting from either naturally occurringā¦ read moreNovel Analysis and Visualization of Chemical Events for Public Health Surveillance
Content Type: Abstract
Pacific Northwest National Laboratory (PNNL), on behalf the Defense Threat Reduction Agency (DTRA; project number CB10190), hosts an annual intern- based web app development contest. Previous competitions have focused on mobile biosurveillanceā¦ read moreHealth Effects of LA county Wildfires in October 2007
Content Type: Abstract
Determine if poor air quality resulting from wildfires could be measured in the general population by monitoring smoke-related respiratory Emergency Department (EDs) visits.High Performance Computing for Disease Surveillance
Content Type: Abstract
Space-time detection of disease clusters can be a computationally intensive task which defies the real time constraint for disease surveillance. At the same time, it has been shown that using exact patient locations, instead of their representativeā¦ read moreHow Bad Is It? Using Biosurveillance Data to Monitor the Severity of Seasonal Flu
Content Type: Abstract
We sought to evaluate the validity of pneumonia and influenza hospitalizations (PI) data gathered by our biosurveillance system.HWR at the Contest: A Holt-Winters-Based Method Applied to Simulated Outbreaks
Content Type: Abstract
Objective: Ideal anomaly detection algorithms should detect both sudden and gradual changes, while keeping the background false positive alert rate at a tolerable level. Our objective was to develop an anomaly detection algorithm that adapts to theā¦ read more