张国慧, 万秋萍, 权力. 上海市闸北区2006—2012年5岁以下儿童死亡分析及死亡率预测[J]. 上海预防医学, 2014, 26(3): 151-153.
引用本文: 张国慧, 万秋萍, 权力. 上海市闸北区2006—2012年5岁以下儿童死亡分析及死亡率预测[J]. 上海预防医学, 2014, 26(3): 151-153.
ZHANG Guo-hui, WAN Qiu-ping, QUAN Li. Death analysis and mortality prediction in children under 5 from 2006 to 2012 in Zhabei District,Shanghai[J]. Shanghai Journal of Preventive Medicine, 2014, 26(3): 151-153.
Citation: ZHANG Guo-hui, WAN Qiu-ping, QUAN Li. Death analysis and mortality prediction in children under 5 from 2006 to 2012 in Zhabei District,Shanghai[J]. Shanghai Journal of Preventive Medicine, 2014, 26(3): 151-153.

上海市闸北区2006—2012年5岁以下儿童死亡分析及死亡率预测

Death analysis and mortality prediction in children under 5 from 2006 to 2012 in Zhabei District,Shanghai

  • 摘要: 目的 在分析上海市闸北区2006-2012年5岁以下儿童死因的基础上,运用灰色模型GM(1,1)预测闸北区5岁以下儿童死亡率的变化趋势。方法 对近5年的监测资料进行死因分析,并使用灰色模型(GM)进行拟合、预测死亡率。结果 闸北区2006-2012年5岁以下儿童死亡以婴儿死亡为主,婴儿死亡以新生儿死亡为主。5年间5岁以下儿童死亡率为3.30‰~4.98‰,2010年略有上升。2006-2012年,新生儿期主要死亡原因为出生窒息,占31.82%。婴儿期主要死亡原因为其他先天异常,占30.43%,出生窒息为第2位,占20.29%。GM拟合效果好,2013年预测死亡率为3.88‰。结论 先天异常、出生窒息和意外死亡严重威胁闸北区5岁以下儿童的生命,必须加大新生儿筛查力度,普及新生儿意外死亡的宣教,从而有效降低5岁以下儿童死亡率。灰色模型GM(1,1)对5岁以下儿童死亡率的拟合效果好,可以应用于预测。

     

    Abstract: Objective By the use of GM(1,1) model to predict mortality trends of children under 5 years, on the basis of the analysis of cause of death in children under 5 from 2006 to 2012 in Zhabei District of Shanghai City.Methods Nearly 5 years of monitoring data were used for analysis of the cause of death, and the grey model (GM) was used to fit and predict mortality.Results The death of children under 5 was mainly infant death and the infant death was mainly newborns death from 2006 to 2012 in Zhabei District. During this five-year period, children mortality under 5 fluctuated from 3.30‰ to 4.98‰ and was slightly increased in 2010. The main cause of death in the neonatal period was birth asphyxia,accounting for 31.82%. For infant period,The first cause was congenital anomaly,accounting for 30.43% and the second cause was birth asphyxia,accounting for 20.29%. The fitting effect of GM was fine and the predicted mortality of children under 5 years was 3.88‰ in 2013.Conclusion Congenital anomalies, birth asphyxia and accident death seriously threaten the lives of children under 5 years. We must strengthen neonatal screening, neonatal accidental death education, thus effectively reducing the mortality of children under 5.The fitting effect of GM(1,1) on mortality rate of children under 5 is good and can be applied for prediction.

     

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