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

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....

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Bibliographic Details
Main Authors: Agung Sutriyawan, Mursid Rahardjo, Martini Martini, Dwi Sutiningsih, Cheerawit Rattanapan, Nur Faeza Abu Kassim
Format: Article
Language:Russian
Published: Central Research Institute for Epidemiology 2025-07-01
Series:Журнал микробиологии, эпидемиологии и иммунобиологии
Subjects:
dengue
forecast model
machine learning
random forest
early warning system
Online Access:https://microbiol.crie.ru/jour/article/viewFile/18837/1611
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