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

Infodemiology and Infoveillance (1274) Influenza and Influenza-Like-Illness (ILI) Surveillance (203) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1013) Innovative Methods in Public Health and Surveillance (306)

Published on in Vol 22, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14337, first published .
Surveilling Influenza Incidence With Centers for Disease Control and Prevention Web Traffic Data: Demonstration Using a Novel Dataset

Surveilling Influenza Incidence With Centers for Disease Control and Prevention Web Traffic Data: Demonstration Using a Novel Dataset

Surveilling Influenza Incidence With Centers for Disease Control and Prevention Web Traffic Data: Demonstration Using a Novel Dataset

Authors of this article:

Wendy K Caldwell1, 2 Author Orcid Image ;   Geoffrey Fairchild3 Author Orcid Image ;   Sara Y Del Valle3 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

Wendy K Caldwell   1, 2 , BS, MA, PhD ;   Geoffrey Fairchild   3 , BS, MS, PhD ;   Sara Y Del Valle   3 , BS, MS, PhD

1 X Computational Physics Division, Los Alamos National Laboratory, Los Alamos, NM, United States

2 School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ, United States

3 Analytics, Intelligence, and Technology Division, Los Alamos National Laboratory, Los Alamos, NM, United States

Corresponding Author:

  • Wendy K Caldwell, BS, MA, PhD
  • X Computational Physics Division
  • Los Alamos National Laboratory
  • P.O. Box 1663
  • Mail Stop T086
  • Los Alamos, NM, 87545
  • United States
  • Phone: 1 5056678593
  • Email: wkcaldwell@lanl.gov