Using weather factors and google data to predict COVID-19 transmission in Melbourne, Australia: A time-series predictive model

BACKGROUND: Forecast models have been essential in understanding COVID-19 transmission and guiding public health responses throughout the pandemic. This study aims to assess the effect of weather variability and Google data on COVID-19 transmission and develop multivariable time series AutoRegressiv...

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Detalles Bibliográficos
Autores principales: McClymont, Hannah, Si, Xiaohan, Hu, Wenbiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9941072/
https://www.ncbi.nlm.nih.gov/pubmed/36845036
http://dx.doi.org/10.1016/j.heliyon.2023.e13782

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9941072/
https://www.ncbi.nlm.nih.gov/pubmed/36845036
http://dx.doi.org/10.1016/j.heliyon.2023.e13782

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