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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Infodemiology and Infoveillance (1349) Infectious Diseases (non-STD/STI) (1575) Influenza and Influenza-Like-Illness (ILI) Surveillance (217) Surveillance Systems (462)

Published on in Vol 2, No 2 (2016): Jul-Dec

Evaluating Google, Twitter, and Wikipedia as Tools for Influenza Surveillance Using Bayesian Change Point Analysis: A Comparative Analysis

Evaluating Google, Twitter, and Wikipedia as Tools for Influenza Surveillance Using Bayesian Change Point Analysis: A Comparative Analysis

Evaluating Google, Twitter, and Wikipedia as Tools for Influenza Surveillance Using Bayesian Change Point Analysis: A Comparative Analysis

Authors of this article:

J Danielle Sharpe1, 2 Author Orcid Image ;   Richard S Hopkins1 Author Orcid Image ;   Robert L Cook1 Author Orcid Image ;   Catherine W Striley1 Author Orcid Image
Article Authors Cited by (49) Tweetations (43) Metrics

J Danielle Sharpe   1, 2 , MS ;   Richard S Hopkins   1 , MD, MSPH ;   Robert L Cook   1 , MD, MPH ;   Catherine W Striley   1 , PhD, MSW, MPE

1 College of Public Health and Health Professions, Department of Epidemiology, University of Florida, Gainesville, FL, United States

2 Rollins School of Public Health, Department of Epidemiology, Emory University, Atlanta, GA, United States

Corresponding Author:

  • J Danielle Sharpe, MS
  • Rollins School of Public Health
  • Department of Epidemiology
  • Emory University
  • 1518 Clifton Road NE
  • Atlanta, GA, 30322
  • United States
  • Phone: 1 912-399-2811
  • Fax: 1 404-727-8737
  • Email: danielle.sharpe@emory.edu