Description: This study used geospatial analysis to identify pre-diabetes “hotspots” in Northern California among Kaiser Permanente members aged 35–70 who were screened in 2019. Using ArcGIS and methods like incremental spatial autocorrelation and Getis-Ord Gi*, census tracts with clusters of elevated pre-diabetes prevalence were mapped. The analysis compared individual- and census-level characteristics between hotspot and non-hotspot areas to inform targeted diabetes prevention strategies and improve health equity.

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/