Integrating meteorological data and hybrid intelligent models for dengue fever prediction
Abstract Background Dengue fever is a globally prevalent arbovirus disease that poses a serious challenge to global health. Therefore, analyzing the relationship between dengue fever incidence and meteorological factors and developing a more effective prediction model based on this relationship can...
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| Главные авторы: | , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BMC
2025-04-01
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| Серии: | BMC Public Health |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1186/s12889-025-22375-2 |
| Метки: |
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