Publication Details

Making use of social media data in public health

DENECKE Kerstin, DOLOG Peter and SMRŽ Pavel. Making use of social media data in public health. In: Proceedings of the 21st international conference companion on World Wide Web. New York: Association for Computing Machinery, 2012, pp. 243-246. ISBN 978-1-4503-1230-1.
Czech title
Využití dat ze sociálních médií pro veřejné zdraví
Type
conference paper
Language
english
Authors
Denecke Kerstin (L3S)
Dolog Peter (AAU)
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT)
Keywords

Twitter; public health; social media; multimedia data

Abstract

Disease surveillance systems exist to offer an easily accessible "epidemiological snapshot" on up-to-date summary statistics for numerous infectious diseases. However, these indicator-based systems represent only part of the solution. Experiences show that they fail when confronted with agents that are new emerging like the agents causing the lung disease SARS in 2002. Further, due to slow reporting mechanisms, the time until health threats become visible to public health officials can be long. The M-Eco project provides an event-based approach to the early detection of emerging health threats. The developed technologies exploit content from social media and multimedia data as input and analyze it by sophisticated event-detection techniques to identify potential threats. Alerts for public health threats are provided to the user in a personalized way.

Published
2012
Pages
243-246
Proceedings
Proceedings of the 21st international conference companion on World Wide Web
Conference
International Conference on World Wide Web , Lyon, FR
ISBN
978-1-4503-1230-1
Publisher
Association for Computing Machinery
Place
New York, US
BibTeX 
@INPROCEEDINGS{FITPUB10941,
   author = "Kerstin Denecke and Peter Dolog and Pavel Smr\v{z}",
   title = "Making use of social media data in public health",
   pages = "243--246",
   booktitle = "Proceedings of the 21st international conference companion on World Wide Web",
   year = 2012,
   location = "New York, US",
   publisher = "Association for Computing Machinery",
   ISBN = "978-1-4503-1230-1",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/10941"
}
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