Time series analysis of temporal trends in the pertussis incidence in Mainland China from 2005 to 2016

Short-term forecast of pertussis incidence is helpful for advanced warning and planning resource needs for future epidemics. By utilizing the Auto-Regressive Integrated Moving Average (ARIMA) model and Exponential Smoothing (ETS) model as alterative models with R software, this paper analyzed data f...

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Detalles Bibliográficos
Autores principales: Zeng, Qianglin, Li, Dandan, Huang, Gui, Xia, Jin, Wang, Xiaoming, Zhang, Yamei, Tang, Wanping, Zhou, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5006025/
https://www.ncbi.nlm.nih.gov/pubmed/27577101
http://dx.doi.org/10.1038/srep32367

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5006025/
https://www.ncbi.nlm.nih.gov/pubmed/27577101
http://dx.doi.org/10.1038/srep32367

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