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
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.