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Type 2 diabetes mellitus,Healthcare,Germany,Spatial analysis,Geographically weighted regression,Kernel Density Estimation,SaTScan,Street-level,big data
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doi:10.1186/s12942-016-0068-2
BioMed Central
International Journal of Health Geographics, doi:10.1186/s12942-016-0068-2
Type 2 diabetes mellitus
Healthcare
Germany
Spatial analysis
Geographically weighted regression
Kernel Density Estimation
SaTScan
Street-level
big data
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
Boris Kauhl
Jürgen Schweikart
Thomas Krafft
Andrea Keste
Marita Moskwyn
10.1186/s12942-016-0068-2
2010-04-23
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