Application of a Hybrid Model for Predicting the Incidence of Tuberculosis in Hubei, China

BACKGROUND: A prediction model for tuberculosis incidence is needed in China which may be used as a decision-supportive tool for planning health interventions and allocating health resources. METHODS: The autoregressive integrated moving average (ARIMA) model was first constructed with the data of t...

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Detalles Bibliográficos
Autores principales: Zhang, Guoliang, Huang, Shuqiong, Duan, Qionghong, Shu, Wen, Hou, Yongchun, Zhu, Shiyu, Miao, Xiaoping, Nie, Shaofa, Wei, Sheng, Guo, Nan, Shan, Hua, Xu, Yihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3819319/
https://www.ncbi.nlm.nih.gov/pubmed/24223232
http://dx.doi.org/10.1371/journal.pone.0080969

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3819319/
https://www.ncbi.nlm.nih.gov/pubmed/24223232
http://dx.doi.org/10.1371/journal.pone.0080969

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