- 19134 - 0 - Introduction to Statistical Methods for Biosurveillance : With an Emphasis on Syndromic Surveillance
نویسنده
چکیده
منابع مشابه
Defining Public Health Situation Awareness – Outcomes and Metrics for Evaluation
Introduction A decade ago, the primary objective of syndromic surveillance was bioterrorism and outbreak early event detection (EED) [3]. Syndromic systems for EED focused on rapid, automated data collection, processing and statistical anomaly detection of indicators of potential bioterrorism or outbreak events. The paradigm presented a clear and testable surveillance objective: the early detec...
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Motivated by the threat of bioterrorism, biosurveillance / syndromic surveillance systems are now in crisis: with the original purpose of early detection, and more than 10 years in existence, no health department has reported using them for this purpose. This has led to a shift away from only early detection of bioterrorist attacks. The goal has been expanded in two directions: firstly, to incl...
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Introduction Biosurveillance Portal (BSP) is a web-based enterprise environment that is aimed to facilitate international collaboration, communication, and information-sharing in support of the detection, management, and mitigation of biological events in Korea. In Oct 2013, Republic of Korea (ROK) Ministry of National Defense has made the project agreement with United States (US) Department of...
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Syndromic surveillance systems that incorporate electronic free-text data have primarily focused on extracting concepts of interest from chief complaint text, emergency department visit notes, and nurse triage notes. Due to availability and access, there has been limited work in the area of surveilling the full text of all electronic note documents compared with more specific document sources. ...
متن کاملComments on 'some methodological issues in biosurveillance'.
We greatly appreciate the opportunity to comment on this interesting and thought-provoking paper. Dr Fricker has brought up many important issues with respect to biosurveillance, primarily in the very challenging context of syndromic surveillance and other types of public health surveillance with many input data streams. Similar to Dr Fricker, we have backgrounds in industrial statistical proce...
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