标题：Author Correction: Geographically weighted machine learning model for untangling spatial heterogeneity of type 2 diabetes mellitus (T2D) prevalence in the USA
摘要：Correction to:
Scientific Reports 10.1038/s41598-021-85381-5, published online 26 March 2021
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 older
28.”
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 older
28. 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 obesity
8–10.”
now reads:
“Several spatial modeling approaches have demonstrated an association between county-level diabetes prevalence and obesity
8–10.”
The original Article has been corrected.
