Diabetes Disparities in Mexico: A Spatio-Temporal and Marginalization Index Analysis

Hernandez-Nava, C., Williams, J., Flores-Hernandez, S. & Mata-Rivera, M. F. (2025). Diabetes Disparities in Mexico: A Spatio-Temporal and Marginalization Index Analysis. Web and Wireless Geographical Information Systems, 90--104. Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-01723-9_7

@inproceedings{HernandezNava2025Diabetes,
  author       = {Hernandez-Nava, Carlos and Williams, James and Flores-Hernandez, Sergio and Mata-Rivera, Miguel-Felix},
  editor       = {Mata-Rivera, Miguel Felix and Zagal-Flores, Roberto and Siabato, Willington},
  title        = {Diabetes Disparities in Mexico: A Spatio-Temporal and Marginalization Index Analysis},
  booktitle    = {Web and Wireless Geographical Information Systems},
  year         = {2025},
  publisher    = {Springer Nature Switzerland},
  address      = {Cham},
  pages        = {90--104},
  isbn         = {978-3-032-01723-9},
  doi          = {10.1007/978-3-032-01723-9_7},
  abstract     = {Understanding the geospatial and temporal distribution of diabetes mellitus in Mexico can be an essential tool in supporting vulnerable populations and addressing health inequalities. This article presents a spatio-temporal investigation of patients aged 18 years and older with diabetes mellitus in Mexico, associated with geographical area and a temporal range from 2005 to 2022. This approach includes calculating diabetes-related hospitalizations and deaths and its association with the margination index segmented into eight geographical areas of Mexico. Furthermore, this research stratifies based upon age group and type of medical institute of the health services in Mexico. The main contribution of this research is to explore the relationship between diabetes-related hospitalizations, deaths, geographical area, age, sex, and margination index of populations to support preventive action. The results highlight that adults between the ages of 45 and 64 years old who live in areas with a high margination index have a greater likelihood of suffering complications related to diabetes. The age-adjusted rate of DRAH shows that the Peninsula has the highest values among geographical areas. Research will now continue to explore mapping interventions to specific states and external datasets, to further extrapolate the results of the analysis.},
  keywords     = {Diabetes; Health Disparities; Spatial Analysis; Mexico; Marginalization Index; Public Health}
}