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灰色系统理论GM(1,1)模型预测百色市疟疾发病趋势
引用本文:曹品光,农智,蒋智华. 灰色系统理论GM(1,1)模型预测百色市疟疾发病趋势[J]. 中国热带医学, 2011, 11(11): 1318-1319,1326
作者姓名:曹品光  农智  蒋智华
作者单位:1. 隆林县疾病预防控制中心,广西隆林,533400
2. 百色市疾病预防控制中心,广西百色,533000
3. 广西壮族自治区疾病预防控制中心,广西南宁,530000
摘    要:目的建立疟疾疫情预测模型GM(1,1),应用于百色疟疾发病率的预测。方法根据2000~2010年百色疟疾发病率数据,建立疟疾发病率预测灰色模型GM(1,1),并作拟合效果检验;外推预测2011~2013年百色区疟疾发病率。结果疟疾发病率预测数学模型为X(t)=3.71056128e-0.329307(t-1)(t=2,3,……,n),经拟合检验,模型拟合精度合格(C=0.4069,P=0.9000)。外推2011~2013年百色疟疾发病率,分别为0.0991/10万、0.0713/10万和0.0513/10万。结论GM(1,1)模型较好地拟合了百色疟疾发病的趋势,预测结果具有参考价值。

关 键 词:灰色模型  疟疾  发病率  预测

Prediction of malaria incidence trend in Baise city with grey system model(GM 1,1)
CAO Pin-guang,NONG Zhi,JIANG Zhi-hua. Prediction of malaria incidence trend in Baise city with grey system model(GM 1,1)[J]. China Tropical Medicine, 2011, 11(11): 1318-1319,1326
Authors:CAO Pin-guang  NONG Zhi  JIANG Zhi-hua
Affiliation:CAO Pin-guang,NONG Zhi,JIANG Zhi-hua.(Longlin County Center for Disease Control and Prevention,Longlin 533400,Guangxi,P.R.China)
Abstract:Objective To establish grey system model GM(1.1) and predict malaria incidence trend in Baise City in Guangxi province.Methods The predicting-model GM(1.1) was established at the basis of epidemiological data of malaria in Baise City during 2000~2010,and tested fitting effect.malaria incidence from 2011 to 2013 in Baise City was predicted by the predicting-model GM(1.1).Results Predicting-model GM(1.1) was X(t)=3.71056128e-0.329307(t-1)(t= 2,3,……,n),according to the result of fitting test fitting accuracy of the model was valid(C=0.4069,P=0.9000).The predicting results of malaria incidence from 2011 to 2013 in Baise City was 0.0991 per hundred thousands,0.0713 per hundred thousands and 0.0513 per hundred thousands respectively.Conclusion the malaria morbidity tendency in Baise City were fitted using this predicting-molel GM(1.1) and the predicting results had reference value.
Keywords:Grey system model  Malaria  Incidence  Prediction  
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