Application of a Combined Model with Autoregressive Integrated Moving Average (ARIMA) and Generalized Regression Neural Network (GRNN) in Forecasting Hepatitis Incidence in Heng County, China.

BACKGROUND:Hepatitis is a serious public health problem with increasing cases and property damage in Heng County. It is necessary to develop a model to predict the hepatitis epidemic that could be useful for preventing this disease. METHODS:The autoregressive integrated moving average (ARIMA) model...

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Main Authors: Wudi Wei, Junjun Jiang, Hao Liang, Lian Gao, Bingyu Liang, Jiegang Huang, Ning Zang, Yanyan Liao, Jun Yu, Jingzhen Lai, Fengxiang Qin, Jinming Su, Li Ye, Hui Chen
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science (PLoS) 2016-01-01
Colecção:PLoS ONE
Acesso em linha:http://europepmc.org/articles/PMC4892637?pdf=render
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