Do the risk factors for type 2 diabetes mellitus vary by location? A spatial analysis of health insurance claims in Northeastern Germany using kernel density estimation and geographically weighted regression

被引：0
作者：
Boris Kauhl
Jürgen Schweikart
Thomas Krafft
Andrea Keste
Marita Moskwyn
机构：
[1] AOK Nordost – Die Gesundheitskasse,Department of Medical Care
[2] Beuth University of Applied Sciences,Department III, Civil Engineering and Geoinformatics
[3] Maastricht University,Department of Health, Ethics and Society, School of Public Health and Primary Care (CAPHRI), Faculty of Health, Medicine and Life Sciences
来源：
International Journal of Health Geographics | / 15卷
关键词：
Type 2 diabetes mellitus; Healthcare; Germany; Spatial analysis; Geographically weighted regression; Kernel Density Estimation; SaTScan; Street-level; big data;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 184 条
[91]  
Malzahn J(undefined)undefined undefined undefined undefined-undefined
[92]  
Maier W(undefined)undefined undefined undefined undefined-undefined
[93]  
Günther K(undefined)undefined undefined undefined undefined-undefined
[94]  
Fotheringham AS(undefined)undefined undefined undefined undefined-undefined
[95]  
Wong DW(undefined)undefined undefined undefined undefined-undefined
[96]  
Shi X(undefined)undefined undefined undefined undefined-undefined
[97]  
Lemke D(undefined)undefined undefined undefined undefined-undefined
[98]  
Mattauch V(undefined)undefined undefined undefined undefined-undefined
[99]  
Heidinger O(undefined)undefined undefined undefined undefined-undefined
[100]  
Pebesma E(undefined)undefined undefined undefined undefined-undefined
567891011121314