Forecasting upper respiratory tract infection burden using high-dimensional time series data and forecast combinations

Open Access

Peer-reviewed

Research Article

About the Authors

Jue Tao Lim

Roles Conceptualization, Formal analysis, Funding acquisition, Methodology, Visualization, Writing – original draft, Writing – review & editing

Affiliation Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore

Kelvin Bryan Tan

Roles Conceptualization, Methodology, Writing – review & editing

Affiliations Ministry of Health, Singapore, Saw Swee Hock School of Public Health, National University of Singapore, Singapore

John Abisheganaden

Roles Conceptualization, Writing – review & editing

Affiliations Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Tan Tock Seng Hospital, Singapore

Borame L. Dickens

Roles Conceptualization, Writing – review & editing

Affiliation Saw Swee Hock School of Public Health, National University of Singapore, Singapore

The authors have declared that no competing interests exist.

Forecasting
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Humidity
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Public and occupational health
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Statistical data
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Upper respiratory tract infections
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Machine learning
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Meteorology
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Singapore
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