Displaying results 1425 - 1432 of 4304
-
Automatic and Secure Data Transfer of Syndromic Data between Hospitals and Public Health Using the PHINMS
Content Type: Abstract
The Public Health Information Network (PHIN) Messaging Service (PHINMS) is a PHIN-certified messaging system, initiated and supported by the Centers for Disease Control & Prevention. PHINMS is widely used by many… read more -
Elaboration of diagnostic means for detection antibodies to Newcastle disease virus
Content Type: Abstract
Newcastle disease (ND) is the most important infectious viral disease of poultry. The world-wide economic loss from it is 2-3 billion USD per year. ND is reportable to the World Organization for Animal Health (OIE). ND is caused by virulent strains… read more -
Automatic Foot-and-Mouth Disease (FMD) New Monitoring and Classification
Content Type: Abstract
Foot-and-mouth disease (FMD) is one of the most devastating diseases of farm animals. There is a critical need for countries to have a global FMD situational awareness. Monitoring the online news sources for FMD-related news… read more -
Bayesian Analytical Tool for ILI and Fast Detection of Intentional Release
Content Type: Abstract
Bio-surveillance is an area providing real time or near real time data sets with a rich structure. In this area, the new wave of interest lies in incorporating medical-based data such as percentage of Influenza-Like-Illnesses (ILI) or count of ILI… read more -
Bayesian Hierarchical Models for the Evaluation and Design of Surveillance Systems: an Application to Scrapie Surveillance in Great Britain
Content Type: Abstract
There is a need for regular evaluation of surveillance strategies. The emergence of new diagnostic tests and new sources of data, changes in the spatio-temporal distribution of diseases and other factors must be periodically… read more -
Bayesian Methods for Syndromic Surveillance
Content Type: Abstract
Syndromic surveillance needs to be (1) transparent, (2) actionable, and (3) flexible. Traditional frequentist approaches to syndromic surveillance, such as cusum charts and scan statistics, tend to fail on all three criteria. First, the validity of… read more -
Bayesian Network Data Fusion Visualization
Content Type: Abstract
A Bayesian Network (BN) is a probabilistic graphical model representing dependencies and relationships. The structure of the network and conditional probabilities capture an expert’s view of a system. BN have been applied to… read more -
Benchmark Data Generation from Discrete Event Contact Network Models
Content Type: Abstract
Historical data are essential for development of detection algorithms. Spatio-temporal data, however, are difficult to come by due to variety of issues concerning patient confidentiality. Several approaches have been used to … read more