Detecting Social Signals of Flu Symptoms

Bumsuk Lee; Jinyoung Yoon; Seokjung Kim; Byung-Yeon Hwang

8th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing

Research Article

Detecting Social Signals of Flu Symptoms

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@INPROCEEDINGS{10.4108/icst.collaboratecom.2012.250355,
    author={Bumsuk Lee and Jinyoung Yoon and Seokjung Kim and Byung-Yeon Hwang},
    title={Detecting Social Signals of Flu Symptoms},
    proceedings={8th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing},
    publisher={IEEE},
    proceedings_a={COLLABORATECOM},
    year={2012},
    month={12},
    keywords={social signals flu epidemics event detection},
    doi={10.4108/icst.collaboratecom.2012.250355}
}

Bumsuk Lee
Jinyoung Yoon
Seokjung Kim
Byung-Yeon Hwang
Year: 2012
Detecting Social Signals of Flu Symptoms
COLLABORATECOM
ICST
DOI: 10.4108/icst.collaboratecom.2012.250355

Bumsuk Lee¹, Jinyoung Yoon¹, Seokjung Kim¹, Byung-Yeon Hwang¹^,*

1: The Catholic University of Korea

*Contact email: byhwang@catholic.ac.kr

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.

Keywords: social signals flu epidemics event detection

Published: 2012-12-14
Publisher: IEEE

: http://dx.doi.org/10.4108/icst.collaboratecom.2012.250355