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

Public Health Informatics (80) Machine Learning (1400) GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (95) Influenza and Influenza-Like-Illness (ILI) Surveillance (203) Statistical Methods for Surveillance and Population Health (148) Surveillance Systems (430)

Published on in Vol 6, No 3 (2020): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12842, first published .
An Automated Approach for Finding Spatio-Temporal Patterns of Seasonal Influenza in the United States: Algorithm Validation Study

An Automated Approach for Finding Spatio-Temporal Patterns of Seasonal Influenza in the United States: Algorithm Validation Study

An Automated Approach for Finding Spatio-Temporal Patterns of Seasonal Influenza in the United States: Algorithm Validation Study

Authors of this article:

Prathyush Sambaturu1 Author Orcid Image ;   Parantapa Bhattacharya1 Author Orcid Image ;   Jiangzhuo Chen1 Author Orcid Image ;   Bryan Lewis1 Author Orcid Image ;   Madhav Marathe1 Author Orcid Image ;   Srinivasan Venkatramanan1 Author Orcid Image ;   Anil Vullikanti1 Author Orcid Image
Article Authors Cited by Tweetations (7) Metrics

Prathyush Sambaturu   1 , MS ;   Parantapa Bhattacharya   1 , PhD ;   Jiangzhuo Chen   1 , PhD ;   Bryan Lewis   1 , PhD ;   Madhav Marathe   1 , PhD ;   Srinivasan Venkatramanan   1 , PhD ;   Anil Vullikanti   1 , PhD

1 University of Virginia, Charlottesville, VA, United States

Corresponding Author:

  • Anil Vullikanti, PhD
  • University of Virginia
  • Biocomplexity Institute and Initiative, 995 Research Park Boulevard
  • Charlottesville, VA, 22911
  • United States
  • Phone: 1 540-577-3102
  • Email: vsakumar@virginia.edu