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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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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5006025/ https://ncbi.nlm.nih.gov/pubmed/27577101 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep32367 |
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