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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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| Publicado no: | J Infect Public Health |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Authors. Production and hosting by Elsevier Limited on behalf of King Saud Bin Abdulaziz University for Health Sciences.
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7102794/ https://ncbi.nlm.nih.gov/pubmed/29730253 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jiph.2018.04.009 |
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