ArticleTransactions in GIS : TG2021
Network Optimization Approach to Delineating Health Care Service Areas: Spatially Constrained Louvain and Leiden Algorithms.
Article in Transactions in GIS : TG, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 46 citations in OpenAlex.
- Single-Cell Multiomics Reveals That OTUD7B Is a Central Driver of Epithelial Remodelling and the Immunosuppressive Microenvironment in Pancreatic Ductal Adenocarcinoma.Journal of cellular and molecular medicine · 2026Article
- Physics-Informed Graph Learning for Spatially Contiguous and Capacity-Constrained Hospital Service Area Delineation.Computers, environment and urban systems · 2026Article
- Development of an Atlas for US Pediatric Acute Care.JAMA pediatrics · 2026Article
- Geospatial Analysis of Commission on Cancer-Accredited Centers Within Cancer Care Utilization-Based Catchment Areas.JCO clinical cancer informatics · 2025Article
- SpatialLeiden: spatially aware Leiden clustering.Genome biology · 2025Article
- Application of Community Detection Methods to Identify Emergency General Surgery-Specific Regional Networks.JAMA network open · 2024Article
- Sustainable response strategy for COVID-19: Pandemic zoning with urban multimodal transport data.Journal of transport geography · 2023Article
- Mental health service areas in Switzerland.International journal of methods in psychiatric research · 2023Article
- Delineation of Cancer Service Areas Anchored by Major Cancer Centers in the United States.Cancer research communications · 2022Article
- GIS-Automated Delineation of Hospital Service Areas in Florida: From Dartmouth Method to Network Community Detection Methods.Annals of GIS · 2022Article
- Spatial Behavior of Cancer Care Utilization in Distance Decay in the Northeast Region of the U.S.Travel behaviour & society · 2021Article
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Constructing service areas is an important task for evaluating geographic variation of health care markets. This study uses cancer care as an example to illustrate the methodology, with the nine-state Northeast Region of the U.S. as the study area. Two recent algorithms of network community detection are implemented to account for additional constraints such as spatial connectivity and threshold region size. The refined methods are termed "spatially-constrained Louvain (ScLouvain)" and "spatially-constrained Leiden (ScLeiden)" algorithms, corresponding to their predecessors Louvain and Leiden algorithms, respectively. Both are network optimization methods that maximize flows within delineated communities while minimizing inter-community flows. The service areas derived by the methods, termed "Cancer Service Areas (CSAs)", are more favorable than the commonly used comparable unit, Hospital Referral Regions (HRRs) for evaluating cancer-specific variation in care. Between the two, the ScLeiden performs better than ScLouvain in modularity, localization index and computational efficiency, and thus is recommended as an effective and efficient approach for defining functional regions.
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