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A Bayesian system to detect and characterize overlapping outbreaks

  • Published:2017-09 Issue: Volume:73 Page:171-181
  • ISSN:1532-0464
  • Container-title:Journal of Biomedical Informatics
  • language:en
  • Short-container-title:Journal of Biomedical Informatics

Author:

Aronis John M.,Millett Nicholas E.,Wagner Michael M.,Tsui Fuchiang,Ye Ye,Ferraro Jeffrey P.,Haug Peter J.,Gesteland Per H.,Cooper Gregory F.

Funder

NIH

National Library of Medicine Training

National Institute of General Medical Sciences Modeling Infectious Disease Agent Study

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference27 articles.

1. World Health Organization, Influenza Fact Sheet, 2003.

2. Managing and reducing uncertainty in an emerging influenza pandemic;Lipsitch;N. Engl. J. Med.,2009

3. Probabilistic, decision-theoretic disease surveillance and control;Wagner;Online J. Public Health Inform.,2011

4. A method for detecting and characterizing outbreaks of infectious disease from clinical reports;Cooper;J. Biomed. Inform.,2015

5. Probabilistic case detection for disease surveillance using data in electronic medical records;Tsui;Online J. Public Health Inform.,2011

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