GM(1,1)模型在江苏省5岁以下儿童死亡率预测中的应用
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安徽医科大学卫生管理学院

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Application of Gray Model (1,1) in Prediction of Child Mortality Rate Under age 5 in Jiangsu Province
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School of Health Management, Anhui Medical University

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    摘 要:目的 通过对江苏省2005-2016年5岁以下儿童死亡率数据进行分析,预测2017-2020年江苏省5岁以下儿童死亡率,为妇幼保健工作提供参考。方法 运用Matlab软件建立GM(1,1)模型,对江苏省5岁以下儿童死亡率进行拟合并预测其变化趋势。结果 建立的预测模型为;经模型精度检验:C=0.1037,P=1,结果表明预测效果好;2017-2020年的预测值分别为:3.70‰、3.48‰、3.26‰、3.07‰。结论 灰色GM(1,1)模型能较好的预测5岁以下儿童死亡率,结果表明江苏省5岁以下儿童死亡率呈下降趋势,同时应加大对儿童健康的关注,把5岁以下儿童死亡率控制在更低的水平。

    Abstract:

    Abstract: Objective Based on the analysis of Child Mortality Rate Under age 5 (U5MR) in Jiangsu Province from 2005 to 2016, and to forecast Child Morality Rate Under age 5 from 2017 to 2020, which provided references for maternal and child health care. Method The GM (1,1) model was established by Matlab software, and to predict the Child Morality Rate Under age 5 in Jiangsu Province. Result The established prediction model was, and the predictive accuracy of the model established was at a high level: C=0.1037, P=1. The model precision was good. The predicted U5MR for 2017 to 2020 were 3.70 ‰, 3.48 ‰, 3.26 ‰, 3.07 ‰. Conclusion Gray model GM(1,1) can predict the Child Morality Rate Under age 5, and the Child Morality Rate Under age 5 in Jiangsu Province will decline continuously. At the same time, more attention should be paid to the health of children, so as to keep the Child Mortality Rate Under age 5 at a lower level.

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  • 收稿日期:2018-02-26
  • 最后修改日期:2018-04-10
  • 录用日期:2018-08-30
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