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山东大学学报（医学版） ›› 2017, Vol. 55 ›› Issue (8): 88-94.doi: 10.6040/j.issn.1671-7554.0.2016.1437

• 公共卫生与管理学 • 上一篇    下一篇

地理加权回归在脑卒中病因探索中的应用

王纪传1,刘瑞红2,李东芝3,薛付忠4   

  1. 1.淄博市第一人民医院感染性疾病科, 山东 淄博 255200;2.山东省地方病防治研究所克山病防治科, 山东 济南 250014;3.沂源县疾病预防控制中心, 山东 淄博 256100;4.山东大学公共卫生学院生物统计学系, 山东 济南 250012
  • 收稿日期:2016-11-04 出版日期:2017-08-10 发布日期:2017-08-10
  • 通讯作者: 薛付忠. E-mail:xuefzh@sdu.edu.cn E-mail:xuefzh@sdu.edu.cn

Application of the geographical weighted regression model to explore the cause of stroke

WANG Jichuan1, LIU Ruihong2, LI Dongzhi3, XUE Fuzhong4   

  1. 1. Department of Infectious Diseases, the First Peoples Hospital of Zibo, Zibo 255200, Shandong, China;
    2. Department of Keshan Disease, Shandong Institute for Endemic Disease Control, Jinan 250014, Shandong, China;
    3. Yiyuan County Center for Disease Control and Prevention, Zibo 256100, Shandong, China;
    4. Department of Biostatistics, School of Public Health, Shandong University, Jinan 250012, Shandong, China
  • Received:2016-11-04 Online:2017-08-10 Published:2017-08-10

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摘要： 目的 探讨脑卒中与其他疾病(心肌梗死、恶性肿瘤、传染病等)的空间依从关系,分析其是否存在共同的地理危险因子。 方法 收集2011~2014年沂源县脑卒中及其他疾病的发病数据、全死因死亡数据及人口学数据,应用地理加权回归(GWR)模型定量分析各因素与脑卒中的空间依从关系。 结果 (1) 除北部个别区域的心肌梗死发病密度与脑卒中发病呈负相关关系外,沂源县的心肌梗死与脑卒中呈正相关协同变化关系,且这种协同变化由西向东逐渐减弱;(2) 恶性肿瘤与脑卒中呈正相关协同变化关系,且这种协同变化关系由北向南逐渐减弱;(3) 除西部个别区域的传染病与脑卒中呈负相关关系外,沂源县传染病与脑卒中呈正相关协同变化关系,这种协同变化关系在中部大于西部和东部,且呈由北向南的递减趋势。 结论 脑卒中与心肌梗死、恶性肿瘤及传染病之间呈现空间协同变化关系,提示可能存在特定的共同地理社会因素。

关键词: 脑卒中, 地理加权回归, 空间异质性, 地理信息系统

Abstract: Objective To explore the spatial relationship between stroke and other diseases(myocardial infarction, malignant tumor, and infectious disease, et al)and investigate the common geographical risk factor among them. Methods The data of pathogenesis, all-cause mortality and demography of the patients with stroke and other diseases in Yiyuan County were collected from 2011 to 2014. Geographical weighted regression(GWR)model was constructed to analyze the spatial correlation between stroke and other disease. Results (1) The incidence density of myocardial infarction was positively associated with stroke, except in the northern region, and the coefficients were gradually weakened from west to east. (2) The incidence density of cancer was positively associated with stroke and the coefficients were gradually weakened from north to south. (3) The incidence density of infectious diseases was positively associated with stroke, except in the west region, and the coefficients were greater in central region than in west or east, and in central region, the coefficients were gradually weakened from north to south. Conclusion The spatial correlation between stroke and myocardial infarction, cancer and infectious diseases suggests that certain geographical and social factors may exist.

Key words: Geographical weighted regression, Geographic information system, Stroke, Spatial heterogeneity

中图分类号: 

  • R188.2
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