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
Published in:PLoS Computational Biology
Main Authors: Jue Tao Lim, Kelvin Bryan Tan, John Abisheganaden, Borame L Dickens
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-02-01
Online Access:https://doi.org/10.1371/journal.pcbi.1010892