Prediction of COVID-19 Data Using an ARIMA-LSTM Hybrid Forecast Model

Prediction of COVID-19 Data Using an ARIMA-LSTM Hybrid Forecast Model

The purpose of this study is to study the spread of COVID-19, establish a predictive model, and provide guidance for its prevention and control. Considering the high complexity of epidemic data, we adopted an ARIMA-LSTM combined model to describe and predict future transmission. A new method of the...

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Bibliographic Details
Main Authors:	Yongchao Jin, Renfang Wang, Xiaodie Zhuang, Kenan Wang, Honglian Wang, Chenxi Wang, Xiyin Wang
Format:	Article
Language:	English
Published:	MDPI AG 2022-10-01
Series:	Mathematics
Subjects:	ARIMA LSTM SVR linear regression number of cases forecast
Online Access:	https://www.mdpi.com/2227-7390/10/21/4001

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