Forecast of Dengue Cases in 20 Chinese Cities Based on the Deep Learning Method

Forecast of Dengue Cases in 20 Chinese Cities Based on the Deep Learning Method

Dengue fever (DF) is one of the most rapidly spreading diseases in the world, and accurate forecasts of dengue in a timely manner might help local government implement effective control measures. To obtain the accurate forecasting of DF cases, it is crucial to model the long-term dependency in time...

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Bibliographic Details
Main Authors: Jiucheng Xu, Keqiang Xu, Zhichao Li, Fengxia Meng, Taotian Tu, Lei Xu, Qiyong Liu
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:International Journal of Environmental Research and Public Health
Subjects:
dengue fever
forecast model
long short-term memory
deep learning
transfer learning
Online Access:https://www.mdpi.com/1660-4601/17/2/453

Internet

https://www.mdpi.com/1660-4601/17/2/453

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