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

Social Media in Public Health informatics (32) Theme Issue: Bayesian Methods In Medical Research (26)

Published on in Vol 9, No 1 (2017):

Using a Bayesian Method to Assess Google, Twitter, and Wikipedia for ILI Surveillance

Using a Bayesian Method to Assess Google, Twitter, and Wikipedia for ILI Surveillance

Using a Bayesian Method to Assess Google, Twitter, and Wikipedia for ILI Surveillance

Authors of this article:

Danielle Sharpe1 ;   Richard Hopkins2 ;   Robert L. Cook2 ;   Catherine W. Striley2
The full text of this article is available as a PDF download by clicking here.
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Yousefinaghani S, Dara R, Poljak Z, Bernardo T, Sharif S. The Assessment of Twitter’s Potential for Outbreak Detection: Avian Influenza Case Study. Scientific Reports 2019;9(1) View
  2. Yousefi Naghani S, Dara R, Poljak Z, Sharif S. A review of knowledge discovery process in control and mitigation of avian influenza. Animal Health Research Reviews 2019;20(1):61 View
  3. Yousefinaghani S, Dara R, Poljak Z, Sharif S. A decision support framework for prediction of avian influenza. Scientific Reports 2020;10(1) View