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Kriging插值在中国结核病分布中的应用
引用本文:康万里,郑素华. Kriging插值在中国结核病分布中的应用[J]. 中国防痨杂志, 2012, 34(2): 90-92
作者姓名:康万里  郑素华
作者单位:101149.北京市结核病胸部肿瘤研究所 首都医科大学附属北京胸科医院流行病学研究室
摘    要:目的应用克里格(Kriging)插值研究中国结核病的空间分布特征,为结核病的防控提供科学依据。方法收集第4次全国结核病流行病学抽样调查资料,建立相关数据库。第4次流调共调查365 097人,发现活动性肺结核病患者1340例,活动性肺结核患病率367.03/10万(1340/365 097)。应用Kriging插值研究中国活动性肺结核患病率的空间分布特征。结果 (1)半变异函数表明,中国活动性肺结核患病率由空间自相关引起的空间变异性中等,C0/(C0+C)=66.14%。(2)中国活动性肺结核患病率的Kriging插值研究,显示出中国活动性肺结核患病率的空间分布不均衡。结论利用Kriging插值等空间分析技术可以通过抽样调查数据对全国活动性肺结核患病率进行总体估计。

关 键 词:结核  肺/流行病学  患病率  模型  统计学
收稿时间:2011-09-13

Application of Kriging interpolation analysis in the distribution of tuberculosis in China
KANG Wan-li,ZHENG Su-hua. Application of Kriging interpolation analysis in the distribution of tuberculosis in China[J]. The Journal of The Chinese Antituberculosis Association, 2012, 34(2): 90-92
Authors:KANG Wan-li  ZHENG Su-hua
Affiliation:Department of Epidemiology,Beijing Tuberculosis and Thoracic Tumor Research Institute; Beijing Chest Hospital, Capital Medical University, Beijing 101149, China
Abstract:Objective Application of Kriging interpolation analysis to study the spatial distribution of the prevalence rate of active pulmonary tuberculosis in China and to provide scientific basis for prevention tuberculosis.Methods Data were collected from the fourth national TB epidemiological surveys,relevant databases were set up.A total of 365 097 people were investigated in the fourth survey,1340 active pulmonary TB patients were found.The prevalence rate of active pulmonary tuberculosis in China was 367.03/100 000(1340/365 097).Kriging interpolation analysis was applied to analyze the spatial distribution of the prevalence rate of active pulmonary tuberculosis.Results 1)The semivariogram analysis showed that there was moderate spatial autocorrelation of the prevalence rate of active pulmonary tuberculosis in China C0/(C0+C)=66.14%.2)The spatial distribution of the prevalence rate of active pulmonary tuberculosis was unbalanced in China by the disjunctive Kriging interpolation analysis.Conclusion Kriging interpolation analysis was helpful in making overall estimate of nationwide prevalence of active pulmonary TB through sampling survey data.
Keywords:Tuberculosis,pulmonary/epidemiology  Prevalence  Models,statistical
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