Machine learning approach to predicting Rift Valley fever disease outbreaks in Kenya
In Kenya, Rift Valley fever (RVF) outbreaks pose significant challenges, being one of the most severe climate-sensitive zoonoses. While machine learning (ML) techniques have shown superior performance in time series forecasting, their application in predicting disease outbreaks in Africa remains und...
| Autores principales: | , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
MDPI
2025
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/175702 |
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