Displaying results 2289 - 2296 of 4304
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Syndromic Surveillance with Death Data: a Pilot Study in the Netherlands
Content Type: Abstract
Crude mortality could be valuable for infectious disease surveillance if available in a complete and timely fashion. Such data can be of used for detecting, and tracking the impact of unusual health events (e.g. pandemic… read more -
Syndromic Surveillance with Death Data: Is Crude Mortality Data Suitable for Real Time Surveillance?
Content Type: Abstract
Crude mortality could be valuable for infectious disease surveillance if available in a complete and timely fashion. Syndromic surveillance with weekly deaths has been demonstrated to be useful in France. Such data can be of use… read more -
Synthesizing the American Health Information Community’s Minimum Data Set
Content Type: Abstract
One of the challenges facing developers and users of automated disease surveillance systems is being able to accurately evaluate the performance of their systems for the wide variety of public health threats that are possible. A… read more -
Zika Virus Speed and Direction: Reconstructing Zika Introduction in Brazil
Content Type: Abstract
Local transmission of Zika virus has been confirmed in 67 countries worldwide and in 46 countries or territories in the Americas. On February 1, 2016 the World Health Organization declared a Public Health Emergency of International Concern due to… read more -
System Monitoring for Near Real-Time Surveillance for Infectious Diseases
Content Type: Abstract
Events of recent years, particularly concern about a possible avian (H5N1) influenza pandemic, have focused increasing attention on the need for timely surveillance, with real time surveillance as the ultimate goal. In a previous study, we reported… read more -
Systematic Comparison of Algorithms Used in Syndromic Surveillance
Content Type: Abstract
Varied approaches have been used by syndromic surveillance systems for aberration detection. However, the performance of these methods has been evaluated only across a small range of epidemic characteristics. Objective… read more -
T-Cube as an Enabling Technology in Surveillance Applications
Content Type: Abstract
T-Cube is especially useful for rapidly retrieving responses to ad-hoc queries against large datasets of additive time series labeled using a set of categorical attributes. It can be used as a general tool to support any task… read more -
Talking Turkish: Using N-Grams for Syndromic Surveillance in a Turkish Emergency Department without the Need for English Translation
Content Type: Abstract
Previously we used an “N-Gram” classifier for syndromic surveillance of emergency department (ED) chief complaints (CC) in English for bioterrorism. The classifier is trained on a set of ED visits for which both the ICD diagnosis code and CC are… read more