Article

A prediction method for influenza during COVID-19 in Shanxi Province, China: LSTM-SARIMA hybrid model based on Singular Spectrum Analysis

2022-10-12

Abstract excerpt

To handle the difficulties of modeling and prediction caused by the abnormal influenza sequence during COVID-19, this study established a hybrid prediction model of Long-Short Term Memory neural network (LSTM) and seasonal autoregressive integrated moving average (SARIMA) based on Singular spectrum analysis (SSA), which provided an effective scientific basis for the high-precision prediction of influenza in Shanxi...

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Literature Corpus work: 242536a1-1026-56af-9326-6a4cc794abe3
DOI: 10.21203/rs.3.rs-2135266/v1

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