Dengue fever prediction based on meteorological features and deep learning models
The dengue fever epidemic is one of the health priorities of the World Health Organization (WHO), and accurately predicting its epidemiological trends is crucial. Multi source geographic data such as temperature, humidity, and precipitation affect the occurrence and prevalence of dengue fever. There...
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| Principais autores: | , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
KeAi Communications Co., Ltd.
2026-06-01
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| Serier: | Infectious Disease Modelling |
| Fag: | |
| Online adgang: | http://www.sciencedirect.com/science/article/pii/S2468042725001393 |
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