Use of Hangeul Twitter to Track and Predict Human Influenza Infection

Open Access

Peer-reviewed

Research Article

Eui-Ki Kim,

Affiliation Department of Biotechnology and Bioinformatics, College of Science and Technology, Korea University, Sejong, Korea
⨯
Jong Hyeon Seok,

Affiliation Department of Biotechnology and Bioinformatics, College of Science and Technology, Korea University, Sejong, Korea
⨯
Jang Seok Oh,

Affiliation Department of Electronics and Information Engineering, College of Science and Technology, Korea University, Sejong, Korea
⨯
Hyong Woo Lee ,

* E-mail: hwlee@korea.ac.kr (HWL); khkim@korea.ac.kr (KHK)

Affiliation Department of Electronics and Information Engineering, College of Science and Technology, Korea University, Sejong, Korea
⨯
Kyung Hyun Kim

* E-mail: hwlee@korea.ac.kr (HWL); khkim@korea.ac.kr (KHK)

Affiliation Department of Biotechnology and Bioinformatics, College of Science and Technology, Korea University, Sejong, Korea
⨯

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Influenza
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Twitter
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Seasons
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Linear regression analysis
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Algorithms
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Infectious disease surveillance
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Forecasting
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Influenza viruses
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