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...

Descripción completa

Detalles Bibliográficos
Autores principales: Xu, Jiucheng, Xu, Keqiang, Li, Zhichao, Meng, Fengxia, Tu, Taotian, Xu, Lei, Liu, Qiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014037/
https://www.ncbi.nlm.nih.gov/pubmed/31936708
http://dx.doi.org/10.3390/ijerph17020453

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014037/
https://www.ncbi.nlm.nih.gov/pubmed/31936708
http://dx.doi.org/10.3390/ijerph17020453

Ejemplares similares