Forecasting and analyzing influenza activity in Hebei Province, China, using a CNN-LSTM hybrid model

Forecasting and analyzing influenza activity in Hebei Province, China, using a CNN-LSTM hybrid model

Abstract Background Influenza, an acute infectious respiratory disease, presents a significant global health challenge. Accurate prediction of influenza activity is crucial for reducing its impact. Therefore, this study seeks to develop a hybrid Convolution Neural Network—Long Short Term Memory neur...

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Bibliographic Details
Main Authors: Guofan Li, Yan Li, Guangyue Han, Caixiao Jiang, Minghao Geng, Nana Guo, Wentao Wu, Shangze Liu, Zhihuai Xing, Xu Han, Qi Li
Format: Article
Language:English
Published: BMC 2024-08-01
Series:BMC Public Health
Subjects:
Influenza
Forecast
Deep Learning
Hybrid Model
Modeling
Online Access:https://doi.org/10.1186/s12889-024-19590-8

Internet

https://doi.org/10.1186/s12889-024-19590-8

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