Predicting trend of early childhood caries in mainland China: a combined meta-analytic and mathematical modelling approach based on epidemiological surveys

Early childhood caries (ECC) is the most common chronic disease in young children. A reliable predictive model for ECC prevalence is needed in China as a decision supportive tool for planning health resources. In this study, we first established the autoregressive integrated moving average (ARIMA) m...

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Detalles Bibliográficos
Autores principales: Zhang, Xiaonan, Zhang, Lei, Zhang, Yonghong, Liao, Zhaoying, Song, Jinlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5529534/
https://www.ncbi.nlm.nih.gov/pubmed/28747744
http://dx.doi.org/10.1038/s41598-017-06626-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5529534/
https://www.ncbi.nlm.nih.gov/pubmed/28747744
http://dx.doi.org/10.1038/s41598-017-06626-w

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