Syndromic Surveillance Professors in Global

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Noelle Cocoros
Boston University United States of America
chronic disease surveillance
drug safety surveillance
public health surveillance
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Abdelwahab Hamou-lhadj
Concordia University Canada
cybersurveillance
anomaly detection
software monitoring
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Gerdien Van Schaik
Utrecht University Netherlands
syndromic surveillance
risk-based surveillance
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Sharon Greene
Columbia University Mailman School of Public Health United States of America
syndromic surveillance
vaccine safety surveillance
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Keith Spiller
University of Southampton United Kingdom
surveillance
monitoring
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Stephanie Krent
Columbia Law School United States of America
surveillance
border surveillance
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Sankaran Iyer
University of New South Wales Australia
surveillance security
anomaly detection
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Han Zhang
Brown University United States of America
digital surveillance
statistical machine learning
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David Lyon
Queen's University Canada
surveillance studies
surveillance identification regimes
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David Pearl
University of Guelph Canada
disease surveillance
statistical modeling
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Rashan Haniffa
University of Edinburgh United Kingdom
population health surveillance
public health surveillance
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Lauren Meyers
University of Texas at Austin United States of America
infectious disease surveillance
statistical modeling
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Shelly Bolotin
University of Toronto Canada
infectious disease surveillance
population immunity serosurveillance
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Georgios Fellouris
University of Illinois United States of America
sequential detection
anomaly detection
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John Oommen
Carleton University Canada
syntactic pattern recognition
statistical pattern recognition
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Farnoosh Naderkhani
Concordia University Canada
systems monitoring
statistical machine learning
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Martyn Boutelle
Imperial College London United Kingdom
in vivo monitoring
clinical monitoring
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Sarah Wilson
University of Toronto Canada
vaccine safety surveillance
vaccine-preventable disease surveillance
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Laura White
Boston University United States of America
public health surveillance
statistical modeling
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Steve Mann
University of Toronto Canada
metaveillance
surveillance versus sousveillance
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Jethro Linley
University of Glasgow United Kingdom
statistical modelling
statistical machine learning
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