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: 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)Full text not available from this repository.
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:|| 978-3-642-11744-2 (Print), 978-3-642-11745-9 (Online).  Series ISSN: 1867-8211.  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.  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".  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|
|School / Department / Research Groups:||School of Computing & Mathematical Sciences|
School of Computing & Mathematical Sciences > Department of Information Systems & Digital Media
|Last Modified:||15 Mar 2013 12:21|
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