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

Presentations, Abstracts, or Demonstrations (740) Big Data for Health Promotion and Health Equity (24) Mobile Health Technology and Digital Platforms for Public Health (26)

Published on in Vol 5, No 1 (2013):

Tweeting Fever: Are Tweet Extracts a Valid Surrogate Data Source for Dengue Fever?

Tweeting Fever: Are Tweet Extracts a Valid Surrogate Data Source for Dengue Fever?

Tweeting Fever: Are Tweet Extracts a Valid Surrogate Data Source for Dengue Fever?

Authors of this article:

Jacqueline S. Coberly1 ;   Clayton R. Fink1 ;   Eugene Elbert1 ;   In-Kyu Yoon2 ;   John M. Velasco2 ;   Agnes Tomayo2 ;   V. Roque3 ;   S. Ygano4 ;   Durinda Macasoco4 ;   Sheri Lewis3
The full text of this article is available as a PDF download by clicking here.
Article Authors Cited by (1) Tweetations Metrics

    This abstract describes a study that examined whether Twitter data extracts could be used effectively as a surrogate data source for dengue fever for electronic disease surveillance. Tweets containing a medically-relevant reference to fever were compared to fever and dengue fever incidence data as identified by local and national health authorities and found to be statistically significantly correlated with both incidence data sets. The results suggest that Twitter extracts may provide a valid and timely surrogate data source to monitor dengue fever. Further study is warranted.