Early warning and outbreak detection using social networking websites: the potential of twitter
Tools
Tools
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.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 |
| School / Department / Research Groups: | School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Department of Information Systems & Digital Media |
| Related URLs: | |
| Last Modified: | 15 Mar 2013 12:21 |
| URI: | http://gala.gre.ac.uk/id/eprint/5557 |
Actions (login required)
| View Item |