Comparison of Arima and LSTM in Forecasting the Incidence of HFMD Combined and Uncombined with Exogenous Meteorological Variables in Ningbo, China
Bibliographic Data
Multivariate LSTM is the best among the four models to fit the daily incidence of HFMD in Ningbo. It can provide a scientific method to build the HFMD early warning system and the methodology can also be applied to other communicable diseases
Autoregressive integrated moving average · China · Geography · Incidence (geometry · Meteorology · Statistics · Time series · Climate Change and Health Impacts · Environmental Science · Influenza Virus Research Studies · Mathematics
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| Unique citing works | 10 |
|---|---|
| Citations per year | 2.5 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 10 |