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

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

Abstract Background The provision of general practitioners (GPs) in Germany still relies mainly on the ratio of inhabitants to GPs at relatively large scales and barely accounts for an increased prevalence of chronic diseases among the elderly and socially underprivileged populations. Type 2 Diabete...

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Bibliographic Details
Main Authors: Boris Kauhl, Jürgen Schweikart, Thomas Krafft, Andrea Keste, Marita Moskwyn
Format: Article
Language:English
Published: BMC 2016-11-01
Series:International Journal of Health Geographics
Subjects:
Type 2 diabetes mellitus
Healthcare
Germany
Spatial analysis
Geographically weighted regression
Kernel Density Estimation
Online Access:http://link.springer.com/article/10.1186/s12942-016-0068-2

Internet

http://link.springer.com/article/10.1186/s12942-016-0068-2

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