差分自回归移动平均模型在肾综合征出血热发病预测中的应用研究

魏亚梅, 郭娜娜, 韩旭, 韩占英, 张艳波, 齐顺祥, 李琦

doi:10.11853/j.issn.1003.4692.2014.03.010

中国媒介生物学及控制杂志 >

2014 , Vol. 25 >Issue 3: 231 - 234

DOI: https://doi.org/10.11853/j.issn.1003.4692.2014.03.010

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差分自回归移动平均模型在肾综合征出血热发病预测中的应用研究

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1 河北省疾病预防控制中心病毒病防治所, 石家庄 050021;
2 邯郸市疾病预防控制中心

魏亚梅, 女, 主管医师, 主要从事自然疫源性疾病防制工作。

收稿日期: 2014-01-10

网络出版日期: 2014-06-20

基金资助

河北省自然科学基金(C2007000944)

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Application of autoregressive integrated moving average model in prediction of hemorrhagic fever with renal syndrome

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1 Hebei Center for Disease Control and Prevention, Shijiazhuang 050021, Hebei Province, China;
2 Handan Center for Disease Control and Prevention

Received date: 2014-01-10

Online published: 2014-06-20

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摘要

目的探讨差分自回归移动平均模型(ARIMA)在肾综合征出血热(HFRS)预测分析中的应用。方法用SPSS 16.0软件建立1986－2011年河北省HFRS逐月疫情资料数据库, 用ARIMA相关模块进行建模拟合并进行预测分析。结果河北省1986－2011年HFRS发病数呈现明显的季节周期性。筛选ARIMA(0, 1, 1)×(0, 1, 2)12模型为最优模型, 对河北省2012年各月发病数进行预测, 2012年1－12月实际值均落入了预测值的95%可信区间内。结论 ARIMA模型可以很好地拟合HFRS发病数的变动趋势, 并可用于预测未来疫情, 为HFRS防控工作提供依据。

关键词： 肾综合征出血热; 差分自回归移动平均模型; 预测

本文引用格式

魏亚梅, 郭娜娜, 韩旭, 韩占英, 张艳波, 齐顺祥, 李琦 . 差分自回归移动平均模型在肾综合征出血热发病预测中的应用研究[J]. 中国媒介生物学及控制杂志, 2014 , 25(3) : 231 -234 . DOI: 10.11853/j.issn.1003.4692.2014.03.010

Abstract

Objective To evaluate the application of autoregressive integrated moving average (ARIMA) model in the prediction of monthly incidence of hemorrhagic fever with renal syndrome (HFRS). Methods The database of monthly epidemic situation of HFRS in Hebei province, China from 1986 to 2011 was constructed with SPSS 16.0. A mathematic model was constructed using ARIMA of SPSS 16.0 and used to predict the epidemic situation in 2012. Results The HFRS incidence presented obvious seasonal periodicity during 1986 to 2011 in Hebei province. ARIMA (0, 1, 1)×(0, 1, 2)12 model best fitted the incidence of HFRS from January 1986 to December 2011. The actual average incidence of HFRS in 2012 fell within the 95% confidence interval of prediction. Conclusion ARIMA model fits well in the prediction of HFRS incidence, and is suitable for use in epidemiological prediction to provide a basis for the prevention and control of HFRS.

Key words： Hemorrhagic fever with renal syndrome; Autoregressive integrated moving average model; Prediction

参考文献

[1] 韩秀华, 农向群, 张泽华. 德国小蠊聚集信息素的研究进展[J]. 中国媒介生物学及控制杂志, 2009, 20(4):379-381.
[2] Sakuma M, Fukami H. Aggregation arrestant pheromone of the German cockroach, Blattella germanica (L.)(Dictyoptera: Blattellidae):isolation and structure elucidation of Blattellastanoside?A and B[J]. J Chem Ecol, 1993, 19(11):2521-2541.
[3] 杨惠, 张金桐. 德国小蠊聚集信息素的组分及含量测定[J]. 寄生虫与医学昆虫学报, 2004, 11(1):42-46.
[4] Rivault C, Cloarec A, Sreng L. Cuticular extracts inducing aggregation in the German cockroach, Blattella germanica (L.)[J]. J Insect Physiol, 1998, 44(10):909-918.
[5] Scherkenbeck J, Nentwig G, Justus K, et al. Aggregation agents in German cockroach Blattella germanica: examination of efficacy[J]. J Chem Ecol, 1999, 25(5):1105-1119.
[6] Torto B, Njagi PG, Hassanali A, et al. Aggregation pheromone system of nymphal gregarious desert locust, Schistocerca gregaria (Forsk?l)[J]. J Chem Ecol, 1996, 22(12):2273-2281.
[7] 王晓燕, 竹傲, 游红, 等. 不同食物对德国小蠊的引诱作用[J]. 中国媒介生物学及控制杂志, 2010, 21(2):112-114.
[8] Fogliano V, Birlouez?Aragon I. Maillard reaction: an ever green hot topic in food and biological science[J]. Food Funct, 2013, 4(7):1000.
[9] Wu H, Hou C, Huang L, et al. Peripheral coding of sex pheromone blends with reverse ratios in two helicoverpa species[J]. PLoS One, 2013, 8(7):e70078.

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