Forecasting influenza epidemics in Hong Kong using Google search queries data: A new integrated approach

作者：

Highlights：

• A new integrated approach is proposed for influenza forecasting in Hong Kong.

• Stacked autoencoder is applied to Google search data for dimension reduction.

• Variational mode decomposition is used to decompose the data into different modes.

摘要

•A new integrated approach is proposed for influenza forecasting in Hong Kong.•Stacked autoencoder is applied to Google search data for dimension reduction.•Variational mode decomposition is used to decompose the data into different modes.

论文关键词：Influenza epidemics forecasting,Variational mode decomposition,Stacked autoencoder,Artificial neural networks,Google search queries data

论文评审过程：Received 13 February 2020, Revised 18 April 2021, Accepted 11 July 2021, Available online 17 July 2021, Version of Record 29 July 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115604