Spatio-temporal epidemic forecasting using mobility data with LSTM networks and attention mechanism
Abstract The outbreak of infectious diseases can have profound impacts on socio-economic balances globally. Accurate short-term forecasting of infectious diseases is crucial for policymakers and healthcare systems. This study proposes a novel deep learning approach for short-term forecasting of infe...
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| Principais autores: | , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Nature Portfolio
2025-03-01
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| Serier: | Scientific Reports |
| Fag: | |
| Online adgang: | https://doi.org/10.1038/s41598-025-94089-9 |
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