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Ethan Liu

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Open access Oct 2026

Evaluating ARIMA, LSTM, and simple benchmarks for short-term COVID-19 case forecasting

This study compares Autoregressive Integrated Moving Average (ARIMA) and Long Short-Term Memory (LSTM) models for short-term forecasting of new confirmed COVID-19 cases in the United States. Using national-level data derived from the Johns Hopkins University CSSE COVID-19 repository, we evaluate both models under multi...

Ethan Liu · 0 citations

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