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Output details

11 - Computer Science and Informatics

University of Greenwich

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Chapter title

#Swineflu: Twitter predicts swine flu outbreak in 2009

Type
C - Chapter in book
Publisher of book
Springer Berlin Heidelberg
Book title
Electronic Healthcare. Third International Conference, eHealth 2010, Casablanca, Morocco, December 13-15, 2010, Revised Selected Papers
ISBN of book
9783642236341
Year of publication
2012
Number of additional authors
2
Additional information

This paper describes the first published analysis of the potential of social networking websites to predict disease outbreaks. This work received international press coverage from over 30 outlets (e.g. The Telegraph, The Times of India), was featured by the HPA and BMJ and has been presented at 10 further international conferences (e.g. ESCAIDE, MedInfo). In collaboration with City University, follow on work indicates that this technique can predict swine flu outbreaks up to 1 week faster than traditional methods. Complementary work with the University of Manchester, investigating hay fever seasons is to be presented at the GRF One Health Summit.

Interdisciplinary
-
Cross-referral requested
-
Research group
4 - eCentre
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-