王媛媛, 田飞, 刘晶磊. 时间序列分析在北京市东城区艾滋病病毒感染者和艾滋病患者发病率预测中的应用[J]. 疾病监测, 2017, 32(9): 731-734. DOI: 10.3784/j.issn.1003-9961.2017.09.007
引用本文: 王媛媛, 田飞, 刘晶磊. 时间序列分析在北京市东城区艾滋病病毒感染者和艾滋病患者发病率预测中的应用[J]. 疾病监测, 2017, 32(9): 731-734. DOI: 10.3784/j.issn.1003-9961.2017.09.007
WANG Yuan-yuan, TIAN Fei, LIU Jing-lei. Application of time series analysis on prediction of incidence of HIV/AIDS in Dongcheng District of Beijing[J]. Disease Surveillance, 2017, 32(9): 731-734. DOI: 10.3784/j.issn.1003-9961.2017.09.007
Citation: WANG Yuan-yuan, TIAN Fei, LIU Jing-lei. Application of time series analysis on prediction of incidence of HIV/AIDS in Dongcheng District of Beijing[J]. Disease Surveillance, 2017, 32(9): 731-734. DOI: 10.3784/j.issn.1003-9961.2017.09.007

时间序列分析在北京市东城区艾滋病病毒感染者和艾滋病患者发病率预测中的应用

Application of time series analysis on prediction of incidence of HIV/AIDS in Dongcheng District of Beijing

  • 摘要: 目的 探讨应用时间序列差分自回归移动平均模型(ARIMA)预测北京市东城区艾滋病病毒感染者/艾滋病患者(HIV/AIDS)发病率的可行性。方法 应用SAS 9.3软件对北京市东城区2005-2014年HIV/AIDS月发病率构建ARIMA模型,用得到的模型对2015年HIV/AIDS月发病率进行预测,评价模型的拟合和预测效果。结果 ARIMA(0,1,1)(0,1,1)12模型拟合效果较好,但仍有优化的空间,月发病率的实际值均在预测值的95%可信区间内,预测值与实际值拟合趋势一致。结论 ARIMA模型可以对北京市东城区HIV/AIDS月发病率进行预测,为艾滋病疫情预测提供依据。

     

    Abstract: Objective To evaluate the feasibility of the application of autoregressive integrated moving average model (ARIMA) in the prediction of monthly incidence of HIV/AIDS in Dongcheng District of Beijing. Methods Software SAS 9.3 was used to establish an ARIMA model based on the monthly incidence of HIV/AIDS from 2005 to 2014. Then the established model was used to predict the monthly incidence of HIV/AIDS in Dongcheng district in 2015. Results The established model of ARIMA (0,1,1)(0,1,1)12 had a better fitted effect. The actual incidence rate was in the range of 95%CI of predicted value of the model. Conclusion The established ARIMA model could predict the monthly incidence of HIV/AIDS in Dongcheng district of Beijing, which might provide reference for prevention and control of AIDS.

     

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