Application of a New Hybrid Model with Seasonal Auto-Regressive Integrated Moving Average (ARIMA) and Nonlinear Auto-Regressive Neural Network (NARNN) in Forecasting Incidence Cases of HFMD in Shenzhen, China

BACKGROUND: Outbreaks of hand-foot-mouth disease (HFMD) have been reported for many times in Asia during the last decades. This emerging disease has drawn worldwide attention and vigilance. Nowadays, the prevention and control of HFMD has become an imperative issue in China. Early detection and resp...

Descripción completa

Detalles Bibliográficos
Autores principales: Yu, Lijing, Zhou, Lingling, Tan, Li, Jiang, Hongbo, Wang, Ying, Wei, Sheng, Nie, Shaofa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4043537/
https://www.ncbi.nlm.nih.gov/pubmed/24893000
http://dx.doi.org/10.1371/journal.pone.0098241

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4043537/
https://www.ncbi.nlm.nih.gov/pubmed/24893000
http://dx.doi.org/10.1371/journal.pone.0098241

Ejemplares similares