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出生缺陷空间分布及与社会经济关系
引用本文:康万里,杨艳芳,李佩珍,武继磊.出生缺陷空间分布及与社会经济关系[J].中国公共卫生,2007,23(6):668-669.
作者姓名:康万里  杨艳芳  李佩珍  武继磊
作者单位:1. 山西医科大学公共卫生学院流行病学教研室,太原,030001
2. 山东大学公共卫生学院流行病学教研室
3. 北京大学人口研究所
摘    要:目的了解山西省吕梁市出生缺陷的空间分布特征及与社会经济的关系。方法收集山西省吕梁市出生缺陷的调查资料,进行地理信息系统(GIS)空间分析,并对研究区域出生缺陷发病率进行空间集聚性研究。应用主成分分析对社会经济进行综合评价,并与出生缺陷发病率进行相关分析。结果吕梁市出生缺陷高发于本地区中部,存在空间集聚的特点Z(BW)=6.84909〉1.96];尚未发现本地区出生缺陷发病率与经济有关r=0.175(P=0.587)。结论用GIS技术分析山西省吕梁市出生缺陷与经济状况没有关系。

关 键 词:出生缺陷  空间分布  地理信息系统  空间集聚  主成分分析
文章编号:1001-0580(2007)06-0668-02
修稿时间:2006-10-23

Spatial distrbution of birth defects and its relationship with social economy
KANG Wan-li, YANG Yan-fang, LI Pei- zhen, et al.Spatial distrbution of birth defects and its relationship with social economy[J].Chinese Journal of Public Health,2007,23(6):668-669.
Authors:KANG Wan-li  YANG Yan-fang  LI Pei- zhen  
Institution:Department of Epidemiology, School of Public Health, Shanxi Medical University,Taiyuan 030001, China
Abstract:Objective To analyze the spatial distribution of birth defects and relationship with social economy in Lvliang,Shanxi province.Methods Relevant databases were set up after the data collection of birth defects in Lvliang,Shanxi province.Spatial clustering studies were undertaken after the database linked to GIS software.Principal components analysis was applied to evaluate the strength of economy.Correlation was analyzed between the incidence of birth defects and economy.Results The epidemic areas with high incidence of birth defects were mainly distributed in the center of Lvliang,which is characteristic of significant spatial clustering(Z(BW)=6.849 09>1.96).The areas with incidence of birth defects were mapped.The correlation between birth defects and economy was not significant r=0.175(P=0.587).Conclusions The study highlighted the importance of the GIS,which contributed to the determination of the areas with high incidence of birth defects in Lvliang and there were not relationship between economic status and birth defects.
Keywords:birth defects  spatial distribution  geographic information system(GIS)  spatial clustering  principal components analysis
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