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

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

Upper respiratory tract infections (URTIs) represent a large strain on primary health resources. To mitigate URTI transmission and public health burdens, it is important to pre-empt and provide forward guidance on URTI burden, while taking into account various facets which influence URTI transmissio...

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Bibliographic Details
Main Authors: Lim, Jue Tao, Tan, Kelvin Bryan, Abisheganaden, John, Dickens, Borame L.
Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
Format: Journal Article
Language:English
Published: 2023
Subjects:
Science::Medicine
Respiratory Tract Infection
Time Series Analysis
Online Access:https://hdl.handle.net/10356/168848

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