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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2018-09-01
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| Series: | Journal of Infection and Public Health |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1876034118300455 |