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作 者:王媛媛[1] 冯志艳 魏红[2] 曹文君[1,3] Wang Yuanyuan;Feng Zhiyan;Wei Hong;Cao Wenjun(Department of Prevention and Public Health,Changzhi Medical College,Shanxi Changzhi 046000;Heping Hospital Affiliated to Changzhi Medical College,Shanxi Changzhi 046000;School of Medical and Health Management of Shandong University,Shandong Jinan 250012)
机构地区:[1]长治医学院预防与公共卫生系,山西长治046000 [2]长治医学院附属和平医院,山西长治046000 [3]山东大学医药卫生管理学院,山东济南250012
出 处:《中国社区医师》2019年第35期169-170,172,共3页Chinese Community Doctors
基 金:长治医学院科研启动基金项目(QDZ201652);国家卫生健康委员会卫生经济与政策研究重点实验室开放基金项目(NHC-HEPR2018012)~~
摘 要:目的:探讨山西长治地区食管癌空间自相关性研究.方法:2013-2017年选取山西长治地区食管癌患者登记资料,进行Moran'sⅠ及G统计量空间自相关性分析.结果:空间自相关分析结果方面,以县为基本单位进行Moran's以及Getis分析,差异有统计学意义(P<0.05);提示食管癌发病率存在正相关,并且分布方面有聚集性特点,差异有统计学意义(P<0.05).结论:进行空间自相关性分析,能够弥补常规统计学缺乏空间关联方面的缺陷,从而为分析食管癌的风险因素提供线索,为食管癌的早发现早治疗提供依据.Objective:To explore the spatial autocorrelation of esophageal cancer in Changzhi Area.Methods:From 2013 to 2017,we selected the registration data of esophageal cancer patients in Changzhi District of Shanxi Province,the spatial autocorrelation analysis of Moran's I and G statistics was carried out.Results:For the results of spatial autocorrelation analysis,Moran's and GETIS were analyzed with county as the basic unit,the difference was statistically significant(P<0.05).It was suggested that there was a positive correlation between the incidence of esophageal cancer and the distribution of esophageal cancer had clustering characteristics,the difference was statistically significant(P<0.05).Conclusion:Spatial autocorrelation analysis can make up for the lack of spatial correlation in conventional statistics,so as to provide clues for the analysis of risk factors of esophageal cancer and provide basis for the early occurrence and early treatment of esophageal cancer.
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