Detail publikačního výsledku

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

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

Originální název

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

Anglický název

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

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

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.  

Anglický abstrakt

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.  

Klíčová slova

Twitter Analysis, Epidemic Intelligence, Content Analysis, User  
Study

Klíčová slova v angličtině

Twitter Analysis, Epidemic Intelligence, Content Analysis, User  
Study

Autoři

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

Vydáno

29.11.2011

Nakladatel

Association for Computing Machinery

Místo

Koblenz

Kniha

Proceedings of Health WebScience Workshop, ACM Web Science Conference

Strany od

10

Strany do

15

Strany počet

5

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"
}