Displaying results 369 - 376 of 449
-
North Dakota Electronic Animal Health Surveillance System
Content Type: Abstract
The North Dakota Veterinary Diagnostic Laboratory (NDVDL) manages animal disease laboratory tests, results and diagnostic services using the software VetStar Animal Disease Diagnostic System (VADDS) (Advanced Technology Corporation, Ramsey, NJ). The… read more… surveillance data sources used at the NDDoH. Due to lack of a functioning national animal identification … -
Project Management and Design for Syndromic Surveillance Software
Content Type: Abstract
Management of software development projects involves a collection of well understood issues which are not often found in other project management areas. Identifying and managing these issues primarily requires that the manager is aware of the… read more… feedback should be used to refine the software. Feed- back can be achieved through different methods in- cluding … -
STL and Local Regression for Modeling Disease Surveillance Counts
Content Type: Abstract
Numerous methods have been applied to the problem of modeling temporal properties of disease surveillance data; the ESSENCE system contains a widely used approach (1). STL (2) is a flexible, wellproven method for temporal… read more… a peak on Mon., a drop through about Fri. then a rise back to a Sun. peak about as big as Mon. No sig- nificant … -
Syndromic surveillance in animal health: public, animal and food safety
Content Type: Webinar
Early detection of diseases in animal populations is key to protecting the health of companion animals and livestock. Safeguarding the health of animals aims at protecting human populations from diseases that are transmissible from animals to humans… read more… requirements Disease variations Part of the population Lack of coding Conclusion • Great interest of veterinarians … submissions 2 Information about the systems 3 • Lack of standardized coding systems • Challenges: – … issue as in human health with additionnal constraints • Lack of coding systems • No existing referential • … -
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 …