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Open Access

Peer-reviewed

Research Article

Forecasting type-specific seasonal influenza after 26 weeks in the United States using influenza activities in other countries

Soo Beom Choi,

Roles Conceptualization, Data curation, Formal analysis, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliations Department of Data-centric Problem Solving Research, Korea Institute of Science and Technology Information, Daejeon, Republic of Korea, Center for Convergent Research of Emerging Virus Infection, Korea Research Institute of Chemical Technology, Daejeon, Republic of Korea
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Juhyeon Kim,

Roles Data curation, Methodology, Writing – review & editing

Affiliations Department of Data-centric Problem Solving Research, Korea Institute of Science and Technology Information, Daejeon, Republic of Korea, Center for Convergent Research of Emerging Virus Infection, Korea Research Institute of Chemical Technology, Daejeon, Republic of Korea
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Insung Ahn

Roles Conceptualization, Formal analysis, Project administration, Supervision, Writing – review & editing

* E-mail: isahn@kisti.re.kr

Affiliations Department of Data-centric Problem Solving Research, Korea Institute of Science and Technology Information, Daejeon, Republic of Korea, Center for Convergent Research of Emerging Virus Infection, Korea Research Institute of Chemical Technology, Daejeon, Republic of Korea

http://orcid.org/0000-0003-1171-1206

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Forecasting type-specific seasonal influenza after 26 weeks in the United States using influenza activities in other countries

Soo Beom Choi,
Juhyeon Kim,
Insung Ahn

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Published: November 25, 2019
https://doi.org/10.1371/journal.pone.0220423

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Influenza
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Influenza A virus
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Forecasting
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Influenza B virus
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Artificial neural networks
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Infectious disease surveillance
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Influenza viruses
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Australia
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