Detail publikačního výsledku

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

OTRUSINA, L.; DENECKE, K.; DREESMAN, J.; KRIECK, M.

Original Title

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

English Title

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

Type

Paper in proceedings outside WoS and Scopus

Original 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.  

English 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.  

Keywords

Twitter Analysis, Epidemic Intelligence, Content Analysis, User  
Study

Key words in English

Twitter Analysis, Epidemic Intelligence, Content Analysis, User  
Study

Authors

OTRUSINA, L.; DENECKE, K.; DREESMAN, J.; KRIECK, M.

Released

29.11.2011

Publisher

Association for Computing Machinery

Location

Koblenz

Book

Proceedings of Health WebScience Workshop, ACM Web Science Conference

Pages from

10

Pages to

15

Pages count

5

Full text in the Digital Library

http://hdl.handle.net/

BibTex

@inproceedings{BUT91113,
  author="Lubomír {Otrusina} and Kerstin {Denecke} and Johannes {Dreesman} and Manuela {Krieck}",
  title="A New Age of Public Health: Identifying Disease Outbreaks by Analyzing Tweets",
  booktitle="Proceedings of Health WebScience Workshop, ACM Web Science Conference",
  year="2011",
  pages="10--15",
  publisher="Association for Computing Machinery",
  address="Koblenz"
}