Global forecasting models for dengue outbreaks in endemic regions: a systematic review

Background. Dengue is a rapidly spreading mosquito-borne disease, posing significant global health challenges, particularly in endemic regions. Recent years have witnessed an increase in the frequency and intensity of dengue outbreaks, necessitating robust forecasting models for early intervention....

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Agung Sutriyawan, Mursid Rahardjo, Martini Martini, Dwi Sutiningsih, Cheerawit Rattanapan, Nur Faeza Abu Kassim
Μορφή:	Artigo
Γλώσσα:	Russo
Έκδοση:	Central Research Institute for Epidemiology 2025-07-01
Σειρά:	Журнал микробиологии, эпидемиологии и иммунобиологии
Θέματα:	dengue forecast model machine learning random forest early warning system
Διαθέσιμο Online:	https://microbiol.crie.ru/jour/article/viewFile/18837/1611
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