Analysis of Geospatial Variations in Healthcare Across Rural Communities in the US Using Machine Learning
To improve the SDOH in vulnerable rural communities, particularly in Southern states without Medicaid expansion, policymakers must develop and implement equitable and innovative care models to address social determinants of health and access-to-care issues, especially given the potential cuts to public health programs.
Authors
- Anujit Sarkar (ORCID: https://orcid.org/0000-0003-3170-2542)
- Changwha Oh (ORCID: https://orcid.org/0000-0002-1682-1802)
- Lisa C. Lindley (ORCID: https://orcid.org/0000-0003-2960-7896)
- Tracey Stansberry
- Radion Svynarenko (ORCID: https://orcid.org/0000-0002-7568-529X)
- Hyun Jung Kim (ORCID: https://orcid.org/0000-0002-8289-0742)
Institutions
- Knoxville College (US)
- University of Tennessee at Knoxville (US)
Publication Details
- Journal
- Healthcare
- Published
- 2025-06-24
- DOI
- https://doi.org/10.3390/healthcare13131504
- Citations
- 2
- Primary Topic
- Health disparities and outcomes
- Type
- article
- Field-Weighted Citation Impact
- 4.33