Description: This publication uses geospatial analysis to identify pre‑diabetes hotspots in Northern California among screened Kaiser Permanente members aged 35–70 in 2019. It applies ArcGIS methods, including incremental spatial autocorrelation and Getis‑Ord Gi*, to map census tracts with clusters of elevated pre‑diabetes prevalence.

Citation: Thomas, T. W., Duru, O. K., Yassin, M., Rodriguez, L. A., Moin, T., Castellon-Lopez, Y., & Schmittdiel, J. (2024). Identifying pre-diabetes ‘hotspots’ in Northern California using geospatial analysis: opportunities to target diabetes prevention strategies and improve health equity. BMJ open, 14(12), e087274. https://doi.org/10.1136/bmjopen-2024-087274

Creative Commons license: https://creativecommons.org/licenses/by/4.0/