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2011-2021年浙江省肺结核发病率预测:基于三体模型和三体预测法

楼润平 潘依菲 王棣楠 张允馨

中国感染控制杂志2024,Vol.23Issue(7):806-811,6.
中国感染控制杂志2024,Vol.23Issue(7):806-811,6.DOI:10.12138/j.issn.1671-9638.20245245

2011-2021年浙江省肺结核发病率预测:基于三体模型和三体预测法

Prediction of pulmonary tuberculosis incidence in Zhejiang Province from 2011 to 2021:based on trinity model and trinity forecasting method

楼润平 1潘依菲 1王棣楠 1张允馨1

作者信息

  • 1. 海南大学国际商学院,海南海口 570228
  • 折叠

摘要

Abstract

Objective To study the application of the trinity model and trinity forecasting method in predicting the incidence trend of pulmonary tuberculosis(PTB).Methods By applying the monthly PTB incidence data in Zhe-jiang Province from 2011 to 2021,a prediction model was constructed based on the trinity model and trinity forecas-ting method.Predictive performance of the model was evaluated.Results The mean relative prediction errors of model 1 and model 2 based on trinity model and trinity forecasting method were 7.94%and 8.43%,respectively.The mean relative prediction error obtained by adopting autoregressive integrated moving average(ARIMA)model was 8.87%,and the above mean relative prediction error were all in the range of 7.9%-8.9%,which presented an excellent performance of the forecasting model.Conclusion The trinity model is an excellent time series forecasting model,and the trinity forecasting method is an excellent time series forecasting method,with high application value.

关键词

肺结核发病率/三体模型/三体预测法/时间序列/预测误差

Key words

incidence of pulmonary tuberculosis/trinity model/trinity forecasting method/time series/predic-ting error

分类

医药卫生

引用本文复制引用

楼润平,潘依菲,王棣楠,张允馨..2011-2021年浙江省肺结核发病率预测:基于三体模型和三体预测法[J].中国感染控制杂志,2024,23(7):806-811,6.

基金项目

海南省自然科学基金高层次人才项目(723RC462) (723RC462)

中国感染控制杂志

OA北大核心CSTPCD

1671-9638

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