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Early warning and outbreak detection using social networking websites: the potential of twitter

Early warning and outbreak detection using social networking websites: the potential of twitter

de Quincey, Ed and Kostkova, Patty (2010) Early warning and outbreak detection using social networking websites: the potential of twitter. In: Kostkova, Patty, (ed.) Electronic Healthcare. Second International ICST Conference, eHealth 2009, Istanbul, Turkey, September 23-15, 2009, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (27). Springer Berlin Heidelberg, Berlin, Germany, pp. 21-24. ISBN 9783642117459 (doi:10.1007/978-3-642-11745-9_4)

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Abstract

Epidemic Intelligence is being used to gather information about potential diseases outbreaks from both formal and increasingly informal sources. A potential addition to these informal sources are social networking sites such as Facebook and Twitter. In this paper we describe a method for extracting messages, called “tweets” from the Twitter website and the results of a pilot study which collected over 135,000 tweets in a week during the current Swine Flu pandemic.

Item Type: Book Section
Additional Information: [1] 978-3-642-11744-2 (Print), 978-3-642-11745-9 (Online). [2] Series ISSN: 1867-8211. [3] This paper was originally presented in "Session 2: Outbreak Management, Web 2.0 and Public Health Communication" at the Electronic Healthcare Second International ICST Conference, eHealth 2009, held from 23-25 September 2009 in Istanbul, Turkey. [4] The Springer web site http://link.springer.com/book/10.1007/978-3-642-11745-9/page/1# gives the book title "Electronic Healthcare: Second International ICST Conference, eHealth 2009, Istanbul, Turkey, September 23-15, 2009, Revised Selected Papers" when the dates should be "September 23-25, 2009". [5] The book is published within the series: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering.
Uncontrolled Keywords: Epidemic Intelligence, social networking, swine flu
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Department of Information Systems & Digital Media
Related URLs:
Last Modified: 14 Oct 2016 09:14
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/5557

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