Forecasting the incidence of tuberculosis in China using the seasonal auto-regressive integrated moving average (SARIMA) model

OBJECTIVES: The aims of this study were to develop a forecasting model for the incidence of tuberculosis (TB) and analyze the seasonality of infections in China; and to provide a useful tool for formulating intervention programs and allocating medical resources. METHODS: Data for the monthly inciden...

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Detalles Bibliográficos
Autores principales: Mao, Qiang, Zhang, Kai, Yan, Wu, Cheng, Chaonan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Production and hosting by Elsevier Limited on behalf of King Saud Bin Abdulaziz University for Health Sciences. 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7102794/
https://www.ncbi.nlm.nih.gov/pubmed/29730253
http://dx.doi.org/10.1016/j.jiph.2018.04.009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7102794/
https://www.ncbi.nlm.nih.gov/pubmed/29730253
http://dx.doi.org/10.1016/j.jiph.2018.04.009

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