نتایج جستجو برای: syndromic surveillance

تعداد نتایج: 93412  

Journal: :BMC Medical Informatics and Decision Making 2003

Journal: :Computers 2021

Monitoring the development of infectious diseases is great importance for prevention major outbreaks. Syndromic surveillance aims at developing algorithms which can detect outbreaks as early possible by monitoring data sources allow to capture occurrences a certain disease. Recent research mainly concentrates on specific, known diseases, putting focus definition disease pattern under surveillan...

2015
David Atrubin Michael Wiese

Introduction Along with commensurate funding, an increased emphasis on syndromic surveillance systems occurred post September 11, 2001 and the subsequent anthrax attacks. Since then, many syndromic surveillance systems have evolved and have ever-increasing functionality and visualization tools. As outbreak detection using these systems has demonstrated an equivocal track record, epidemiologists...

Journal: :Communicable diseases intelligence quarterly report 2006
Kate S Turner Kelly A Shaw David J Coleman Avner Misrachi

Tasmania contributes very few laboratory confirmed cases to Australia's national influenza surveillance statistics. In 2004, a study was conducted to pilot test sentinel syndromic surveillance for influenza-like illness supplemented by point-of-care testing using the Binax Now Flu A Test Kit and by viral culture, to assess the feasibility and acceptability of this method of surveillance. Overal...

2011
Kimberley Kavanagh Chris Robertson Heather Murdoch George Crooks Jim McMenamin

Syndromic surveillance refers to the rapid monitoring of syndromic data to highlight and follow outbreaks of infectious diseases, increasing situational awareness. Such systems are based upon statistical models to described routinely collected health data. We describe a working exception reporting system (ERS) currently used in Scotland to monitor calls received to the NHS telephone helpline, N...

2013
Sylvia Halász Philip Brown Cem Oktay Arif Alper Çevik Isa Kılıçaslan Colin Goodall Dennis G Cochrane Thomas R Fowler Guy Jacobson Simon Tse John R Allegra

INTRODUCTION Syndromic surveillance is designed for early detection of disease outbreaks. An important data source for syndromic surveillance is free-text chief complaints (CCs), which are generally recorded in the local language. For automated syndromic surveillance, CCs must be classified into predefined syndromic categories. The n-gram classifier is created by using text fragments to measure...

2017

4. OUTBREAK DETECTION 4.1. Type of surveillance  Passive or Active Surveillance  Comprehensive or Sentinel Surveillance  Syndromic or Laboratory-Based Surveillance  Indicator-Based or Event-Based Surveillance  Entomological Surveillance  Monitoring of Environmental and Social Risks 4.2. Surveillance procedures  Case-definition  Notification procedures 4.3. Type of signal  Alert signal ...

2010
Erin K. O’Connell Guoyan Zhang Fermin Leguen Anthoni Llau Edhelene Rico

To determine if expanded queries can be used to identify specific reportable diseases/conditions not detected by using automated syndrome categories, we developed new categories to use with the Electronic Surveillance System for the Early Notification of Community Based Epidemics. Results suggest innovative queries can enhance clinicians' compliance with reportable disease requirements.

Journal: :PLoS Computational Biology 2005
Michael Gribskov

Background: The usefulness of syndromic surveillance for early outbreak detection depends in part on effective statistical aberration detection. However, few published studies have compared different detection algorithms on identical data. In the largest simulation study conducted to date, we compared the performance of six aberration detection algorithms on simulated outbreaks superimposed on ...

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