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Predicting Seasonal Influenza Based on SARIMA Model, in Mainland China from 2005 to 2018
Seasonal influenza is one of the mandatorily monitored infectious diseases, in China. Making full use of the influenza surveillance data helps to predict seasonal influenza. In this study, a seasonal autoregressive integrated moving average (SARIMA) model was used to predict the influenza changes by...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6926639/ https://www.ncbi.nlm.nih.gov/pubmed/31783697 http://dx.doi.org/10.3390/ijerph16234760 |