Publication Details

A New Age of Public Health: Identifying Disease Outbreaks by Analyzing Tweets

DENECKE Kerstin, DREESMAN Johannes, KRIECK Manuela and OTRUSINA Lubomír. A New Age of Public Health: Identifying Disease Outbreaks by Analyzing Tweets. In: Proceedings of Health WebScience Workshop, ACM Web Science Conference. Koblenz: Association for Computing Machinery, 2011, pp. 10-15.
Czech title
Identifikace epidemií pomocí analýzy Twitteru
Type
conference paper
Language
english
Authors
Denecke Kerstin (L3S)
Dreesman Johannes (NLGA)
Krieck Manuela (NLGA)
Otrusina Lubomír, Ing. (DCGM FIT BUT)
Keywords

Twitter Analysis, Epidemic Intelligence, Content Analysis, User  
Study

Abstract

Traditional disease surveillance is a very time consuming  
reporting process. Cases of notifiable diseases are reported to the  
different levels in the national health care system before actions  
can be taken. But, early detection of disease activity followed by  
a rapid response is crucial to reduce the impact of epidemics. To  
address this challenge, alternative sources of information are  
investigated for disease surveillance. In this paper, the relevance  
of twitter messages outbreak detection is investigated from two  
directions. First, Twitter messages potentially related to disease  
outbreaks are retrospectively searched and analyzed. Second,  
incoming twitter messages are assessed with respect to their  
relevance for outbreak detection.  The studies show that twitter  
messages can be - to a certain extent - highly relevant for early  
detecting hints to public health threats.  

Published
2011
Pages
10-15
Proceedings
Proceedings of Health WebScience Workshop, ACM Web Science Conference
Conference
Health WebScience Workshop, ACM Web Science Conference, Koblenz, DE
Publisher
Association for Computing Machinery
Place
Koblenz, DE
BibTeX 
@INPROCEEDINGS{FITPUB9824,
   author = "Kerstin Denecke and Johannes Dreesman and Manuela Krieck and Lubom\'{i}r Otrusina",
   title = "A New Age of Public Health: Identifying Disease Outbreaks by Analyzing Tweets",
   pages = "10--15",
   booktitle = "Proceedings of Health WebScience Workshop, ACM Web Science Conference",
   year = 2011,
   location = "Koblenz, DE",
   publisher = "Association for Computing Machinery",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/9824"
}
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