Author Correction: Geographically weighted machine learning model for untangling spatial heterogeneity of type 2 diabetes mellitus (T2D) prevalence in the USA (Scientific Reports, (2021), 11, 1, (6955), 10.1038/s41598-021-85381-5)

The original version of this Article contained an error in the Materials and methods section, under the subheading ‘Data’, where “Estimates of county-level prevalence were age-adjusted using the 2000 United States standard population using the following age groups: 20–44, 45–64, and 65 and older28.” now reads: “Estimates of county-level prevalence were age-adjusted using the 2000 United States standard population using the following age groups: 20–44, 45–64, and 65 and older28. Since T2D accounts for 90–95% of all types of diabetes, we have used T2M to represent USDSS county-level diabetes prevalence.” In addition, in the Discussion section, “Several spatial modeling approaches have demonstrated an association between county-level T2D prevalence and obesity8– 10.” now reads: “Several spatial modeling approaches have demonstrated an association between county-level diabetes prevalence and obesity8– 10.” The original Article has been corrected.