NDLI: Detecting social signals of flu symptoms

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10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing

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Detecting social signals of flu symptoms

Content Provider	IEEE Xplore Digital Library
Author	Bumsuk Lee Jinyoung Yoon Seokjung Kim Byung-Yeon Hwang
Copyright Year	2012
Description	Author affiliation: Dept. of Computer Science and Engineering, The Catholic University of Korea, Korea (Bumsuk Lee; Jinyoung Yoon; Seokjung Kim; Byung-Yeon Hwang)
Abstract	A cold and the flu are both respiratory illnesses and they are very common to us. Vaccination is the most effective way to prevent infection of the flu, but there is no way for a cold. Thus, the best strategy for individuals is to stay away from the flu or cold carriers and to wash their hands often. Early detection of flu epidemics and a quick response to that can minimize the impact of the flu. We observed tweets as social signals of flu symptoms to detect the flu epidemics in early stage. We compared a tweet corpus from nine cities in Korea to the weather factors, flu forecast, and Influenza-like Illness datasets. The results show the possibility of using social signals to detect epidemic diseases.
Starting Page	544
Ending Page	545
File Size	432269
Page Count	2
File Format	PDF
ISBN	9781467327404
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	ICST
Subject Keyword	Event Detection Social Signals Steel Biomedical monitoring Monitoring Flu Epidemics
Content Type	Text
Resource Type	Article

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