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  • Search: subject:"Syndromic Surveillance"
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Year of publication
Subject
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syndromic surveillance 2 Bayesian sequential update 1 Dynamic control 1 H1N1 1 ICT 1 Infectious Disease 1 Public Health Informatics 1 Surveillance 1 Syndromic Surveillance 1 Syndromic surveillance 1 biosurveillance 1 discourse 1 epidemiology 1 influenza 1 public health surveillance 1
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Online availability
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Free 2 Undetermined 2
Type of publication
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Article 4
Type of publication (narrower categories)
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research-article 1
Language
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English 2 Undetermined 2
Author
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Barnes, Susan 1 Cakici, Baki 1 Fricker, Ronald D 1 Hagen, Katie S. 1 Hanni, Krista D. 1 Hawkins, Douglas M. 1 Michie, Kristy 1 Sanches, Pedro 1 Shamir N Mukhi 1 Tsiamyrtzis, Panagiotis 1 Zamba, K.D. 1
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Institution
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University of Manitoba, Public Health Agency of Canada 1
Published in...
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Computational Statistics & Data Analysis 1 Societies 1 Statistics, Politics, and Policy 1
Source
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RePEc 2 BASE 1 Other ZBW resources 1
Showing 1 - 4 of 4
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Detecting the Visible: The Discursive Construction of Health Threats in a Syndromic Surveillance System Design
Cakici, Baki; Sanches, Pedro - In: Societies 4 (2014) 3, pp. 399-413
European Commission co-funded syndromic surveillance project called SIDARTHa (System for Information on Detection and Analysis … be seen and for what remains invisible. Finally, we argue that syndromic surveillance discourse privileges expertise in … knowledge over local and context-dependent knowledge. We conclude that syndromic surveillance contributes to a shift in broader …
Persistent link: https://www.econbiz.de/10010812229
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A Confidence-based Aberration Interpretation Framework For Outbreak Conciliation
Shamir N Mukhi - University of Manitoba, Public Health Agency of Canada - 2010
Health surveillance can be viewed as an ongoing systematic collection, analysis, and interpretation of data for use in planning, implementation, and evaluation of a given health system, in potentially multiple spheres (ex: animal, human, environment). As we move into a sophisticated...
Persistent link: https://www.econbiz.de/10009462750
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A three-state recursive sequential Bayesian algorithm for biosurveillance
Zamba, K.D.; Tsiamyrtzis, Panagiotis; Hawkins, Douglas M. - In: Computational Statistics & Data Analysis 58 (2013) C, pp. 82-97
method is applied to syndromic surveillance data gathered in the United States (US) District of Columbia metropolitan area. …
Persistent link: https://www.econbiz.de/10010595101
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Assessing the Early Aberration Reporting System's Ability to Locally Detect the 2009 Influenza Pandemic
Hagen, Katie S.; Fricker, Ronald D; Hanni, Krista D.; … - In: Statistics, Politics, and Policy 2 (2011) 1
The Early Aberration Reporting System (EARS) is used by some local health departments (LHDs) to monitor emergency room and clinic data for disease outbreaks. Using actual chief complaint data from local public health clinics, we evaluate how EARS—both the baseline system distributed by the CDC...
Persistent link: https://www.econbiz.de/10014621199
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