Models for COVID-19 Data Prediction Based on Improved LSTM-ARIMA Algorithms

Models for COVID-19 Data Prediction Based on Improved LSTM-ARIMA Algorithms

The global repercussions of the COVID-19 pandemic on economies and public health worldwide have been profound. This study aims to examine the developmental trends of the COVID-19 pandemic, establish predictive models, and provide insights for effective control measures against potential future disea...

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Bibliographic Details
Main Authors: Yong-Chao Jin, Qian Cao, Qian Sun, Ye Lin, Dong-Mei Liu, Shan-Yu, Chen-Xi Wang, Xiao-Ling Wang, Xi-Yin Wang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
COVID-19
LSTM
ARIMA
CNN-LSTM-ARIMA
TCN-LSTM-ARIMA
SSA-LSTM-ARIMA
Online Access:https://ieeexplore.ieee.org/document/10374119/

Internet

https://ieeexplore.ieee.org/document/10374119/

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