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时间序列ARIMA模型在艾滋病疫情预测中的应用

罗静 杨书 张强 王璐

重庆医学2012,Vol.41Issue(13):1255-1256,1259,3.
重庆医学2012,Vol.41Issue(13):1255-1256,1259,3.DOI:10.3969/j.issn.1671-8348.2012.13.003

时间序列ARIMA模型在艾滋病疫情预测中的应用

ARIMA model of time series for forecasting epidemic situation of AIDS

罗静 1杨书 2张强 1王璐1

作者信息

  • 1. 四川大学公共卫生学院卫生统计教研室,成都,610041
  • 2. 成都医学院公共卫生系,成都,610083
  • 折叠

摘要

Abstract

Objective To explore the feasibility of auto regressive integrated moving average(ARIMA)model of time series to predict the incidence of AIDS. Methods The ARIMA model was established basing on the data of AIDS incidences in Chongqing during 1993 -2009. Results The model of ARIMA(1,1,1) X (0 ,1,0)12 exactly fitted the incidence of AIDS. The predicting values of incidence in July to December 2009 were consistent with the actual change trend of incidence. Conclusion The ARIMA model can be used to exactly simulate the change trend of the incidence of AIDS in time series, which can provide reference for prevention and control of AIDS.

关键词

预测/获得性免疫缺陷综合征/时间序列/ARIMA模型

Key words

forecasting/acquired immunode ficiency syndrome/time series/ARIMA model

引用本文复制引用

罗静,杨书,张强,王璐..时间序列ARIMA模型在艾滋病疫情预测中的应用[J].重庆医学,2012,41(13):1255-1256,1259,3.

基金项目

国家自然科学基金青年基金资助项目(81001295). (81001295)

重庆医学

OA北大核心CSCDCSTPCD

1671-8348

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