Diabetes prevalence in the state of Alabama: identifying the risk factors
Abstract
Diabetes mellitus, a chronic metabolic disorder characterized by elevated blood glucose, remains a pressing public health challenge in the United States. This study aims to identify spatial clusters of diabetes and examine associated factors at a granular scale using the state of Alabama. Data on diabetes prevalence, socioeconomic, environmental and behavioural risk factors were extracted at the census tract level from the CDC PLACES Project. Moran's I and Getis-Ord Gi* were first used to assess the spatial autocorrelation and spatial clusters of diabetes, respectively. Due to the existence of spatial autocorrelation (Moran's I = 0.275, p
Fields of Study & Subjects
Spatial and Panel Data Analysis
Data-Driven Disease Surveillance
Statistical Methods and Bayesian Inference
Publication details
- Journal / source
- Geospatial health
- Publisher
- PAGEPress Publications
- Volume
- 21
- Issue
- 1
- Publication date
- 31 March 2026
- Language
- EN