This paper is in the following e-collection/theme issue:

Surveillance Systems (462) Influenza and Influenza-Like-Illness (ILI) Surveillance (217) Infectious Diseases (non-STD/STI) (1575) Outbreak and Pandemic Preparedness and Management (1727) Natural Language Processing (23)

Published on in Vol 10 (2024)

This is a member publication of University of Pittsburgh

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57349, first published .
A Bayesian System to Detect and Track Outbreaks of Influenza-Like Illnesses Including Novel Diseases: Algorithm Development and Validation

A Bayesian System to Detect and Track Outbreaks of Influenza-Like Illnesses Including Novel Diseases: Algorithm Development and Validation

A Bayesian System to Detect and Track Outbreaks of Influenza-Like Illnesses Including Novel Diseases: Algorithm Development and Validation

Authors of this article:

John M Aronis1 Author Orcid Image ;   Ye Ye1 Author Orcid Image ;   Jessi Espino1 Author Orcid Image ;   Harry Hochheiser1 Author Orcid Image ;   Marian G Michaels2 Author Orcid Image ;   Gregory F Cooper1 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics

John M Aronis   1 , PhD ;   Ye Ye   1 , MSPH, PhD ;   Jessi Espino   1 , MS, MD ;   Harry Hochheiser   1 , PhD ;   Marian G Michaels   2 , MPH, MD ;   Gregory F Cooper   1 , MD, PhD

1 Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, United States

2 Department of Pediatrics, University of Pittsburgh School of Medicine, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, United States

Corresponding Author:

  • John M Aronis, PhD
  • Department of Biomedical Informatics
  • University of Pittsburgh
  • 5607 Baum Blvd, Suite 500
  • Pittsburgh, PA, 15206-3701
  • United States
  • Phone: 1 412-624-5100
  • Email: jma18@pitt.edu