Research Article
Early Warning and Outbreak Detection Using Social Networking Websites: The Potential of Twitter
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@INPROCEEDINGS{10.1007/978-3-642-11745-9_4, author={Ed Quincey and Patty Kostkova}, title={Early Warning and Outbreak Detection Using Social Networking Websites: The Potential of Twitter}, proceedings={Electronic Healthcare. Second International ICST Conference, eHealth 2009, Istanbul, Turkey, September 23-15, 2009, Revised Selected Papers}, proceedings_a={E-HEALTH}, year={2012}, month={5}, keywords={Epidemic Intelligence social networking swine flu}, doi={10.1007/978-3-642-11745-9_4} }- Ed Quincey
Patty Kostkova
Year: 2012
Early Warning and Outbreak Detection Using Social Networking Websites: The Potential of Twitter
E-HEALTH
Springer
DOI: 10.1007/978-3-642-11745-9_4
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.
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