Displaying results 3993 - 4000 of 4268
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Reportable Disease Cluster Detection in the Context of Sporadic Adoption of PCR-based Diagnostic Tests
Content Type: Use Case
Materials associated with the Analytic Solutions for Real-Time Biosurveillance: Reportable Disease Cluster Detection in the Context of Sporadic Adoption of PCR-based Diagnostic Tests consultancy call held May 3, at 12 pm ET. Problem… read more -
Spatial Analysis when the Location of Infection is Uncertain: An Innovative Approach Using an AnimalHerd-Level Weighted Analysis
Content Type: Abstract
Bovine cysticercosis is a zoonotic foodborne disease caused by Taenia saginata involving cattle as the intermediate host and humans as the final host. Humans are infected by eating raw or undercooked meat of infected cattle. Cattle are infected… read more -
Spatial Clustering of ILI in Yunnan Province, China, Based on a Geographical Information System
Content Type: Abstract
Influenza is a highly contagious, acute respiratory disease that causes periodic seasonal epidemics and global pandemics[1]. Yunnan Province is characterized by poverty, multi-ethnic, and cross-border movement, which maybe be susceptible of… read more -
Spatial CUSUM Chart Based Method for Rapid Detection of Outbreaks
Content Type: Abstract
Since the release of anthrax in October of 2001, there has been increased interest in developing efficient prospective disease surveillance schemes. Poisson CUSUM is a control chart-based method that has been widely used to detect aberrations in… read more -
Spatial Distribution of Adolescents with Sexually Transmitted Infections Diagnosed in the Pediatric Emergency Departments of Washington, DC
Content Type: Abstract
Utilization of local surveillance data has been shown to help risk stratify patients presenting to the emergency department presenting with GAS pharyngitis or meningitis. (1, 2) Adolescents frequently present to the emergency department (ED) with… read more -
Standardising Syndromic Classification in Animal Health Data
Content Type: Abstract
Veterinary syndromic surveillance (VSS) is a fast growing field, but development has been limited by the limited use of standards in recording animal health events and thus their categorization into syndromes. The adoption of syndromic… read more -
StarScan: A Novel Scan Statistic for Irregularly-Shaped Spatial Clusters
Content Type: Abstract
Kulldorff’s spatial scan statistic1 detects significant spatial clusters of disease by maximizing a likelihood ratio statistic over circular spatial regions. The fast localized subset scan2 enables scalable detection of proximity-constrained subsets… read more -
Vetsyn: Veterinary Syndromic Surveillance Streamlined into one R Package
Content Type: Abstract
To describe an R package that was designed to provide ready implementation of veterinary syndromic surveillance systems, from classified data to the generation of alerts and an html interface. Introduction Introduction The field of veterinary… read more