| ARIMA模型在海南省2014－2017年居民自杀死亡率中的应用 |
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| 引用本文： | 刘莹,胡锡敏,陈言,符振旺.ARIMA模型在海南省2014－2017年居民自杀死亡率中的应用[J].中华流行病学杂志,2018,39(5):664-668. |
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| 作者姓名： | 刘莹 胡锡敏 陈言 符振旺 |
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| 作者单位： | 570203 海口, 海南省疾病预防控制中心热带病与慢性病预防控制所地方病与慢性病预防控制室,570203 海口, 海南省疾病预防控制中心热带病与慢性病预防控制所地方病与慢性病预防控制室,570203 海口, 海南省疾病预防控制中心热带病与慢性病预防控制所地方病与慢性病预防控制室,570203 海口, 海南省疾病预防控制中心热带病与慢性病预防控制所地方病与慢性病预防控制室 |
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| 摘 要： | 目的 分析海南省居民自杀报告死亡率变化趋势,探索时间序列模型在自杀死亡率预测中的应用。方法 应用时间序列模型拟合海南省2014年1月至2016年12月自杀死亡率资料,并预测该地区2017年1－6月的自杀死亡率。结果 海南省2014年1月至2017年6月该地区报告自杀死亡576人,平均死亡率为1.5/10万;所建立的ARIMA模型较好地拟合了既往时间序列的自杀死亡率,预测值的动态趋势与实际值基本一致,2017年1－6月的实际值均在预测值95%的可信区间范围内。结论 确定海南省自杀死亡率的时间序列模型为“ARIMA（0,1,0）（0,0,0）12”,且模型的预测效果较好,可以用来预测海南省因自杀导致的死亡情况。
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| 关 键 词： | 自杀 伤害 时间序列 |
| 收稿时间： | 2017/10/31 0:00:00 |
Application of ARIMA model in prediction of mortality rate of suicide in Hainan province |
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| Liu Ying,Hu Ximin,Chen Yan and Fu Zhenwang.Application of ARIMA model in prediction of mortality rate of suicide in Hainan province[J].Chinese Journal of Epidemiology,2018,39(5):664-668. |
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| Authors: | Liu Ying Hu Ximin Chen Yan and Fu Zhenwang |
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| Institution: | Office of Endemic and Chronic Disease Control, Department of Trophical and Non-communicable Disease Control and Prevention, Hainan Provincial Center for Disease Control and Prevention, Haikou 570203, China,Office of Endemic and Chronic Disease Control, Department of Trophical and Non-communicable Disease Control and Prevention, Hainan Provincial Center for Disease Control and Prevention, Haikou 570203, China,Office of Endemic and Chronic Disease Control, Department of Trophical and Non-communicable Disease Control and Prevention, Hainan Provincial Center for Disease Control and Prevention, Haikou 570203, China and Office of Endemic and Chronic Disease Control, Department of Trophical and Non-communicable Disease Control and Prevention, Hainan Provincial Center for Disease Control and Prevention, Haikou 570203, China |
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| Abstract: | Objective To analyze the trend of suicide mortality in residents of Hainan province, and explore the application of time sequence model in the prediction of the mortality of suicide. Methods The mortality data of suicide in residents of Hainan province between January, 2014 and December, 2016 were collected and analyzed with time sequence model and the mortality rate of suicide during January-June, 2017 in Hainan was predicted with the model. Results During January, 2014 to June 2017, a total of 576 suicide cases were reported in Hainan, the mortality rate was 1.5/100 000. The established ARIMA model had good fitting for the suicide mortality in previous times and the prediction result was quite similar to the actual mortality, the predicted mortality rate was within the 95% confidence interval of the actual rate. Conclusion The time sequence model for the prediction of suicide mortality in Hainan was "ARIMA (0, 1, 0) (0, 0, 0)12", and the prediction effect of the model was better, which can be used to predict the suicide mortality in Hainan. |
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| Keywords: | Suicide Injury Time sequence |
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