A hybrid seasonal prediction model for tuberculosis incidence in China

@inproceedings{Cao2013AHS,
  title={A hybrid seasonal prediction model for tuberculosis incidence in China},
  author={Shiyi Cao and Feng Wang and Wilson Tam and Lap Ah Tse and Jean Hee Kim and Junan Liu and Zuxun Lu},
  booktitle={BMC Medical Informatics and Decision Making},
  year={2013}
}
BackgroundTuberculosis (TB) is a serious public health issue in developing countries. Early prediction of TB epidemic is very important for its control and intervention. We aimed to develop an appropriate model for predicting TB epidemics and analyze its seasonality in China.MethodsData of monthly TB incidence cases from January 2005 to December 2011 were obtained from the Ministry of Health, China. A seasonal autoregressive integrated moving average (SARIMA) model and a hybrid model which… CONTINUE READING
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Time-series analysis of tuberculosis from 2005 to 2017 in China.

  • Epidemiology and infection
  • 2018
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