Optimizing Mobile Health Clinic Placement via Geospatial Modeling
This framework connects spatial analytics to service delivery, offering a replicable, operationally ready tool adaptable to various travel modes, site types, and disease contexts. It supports strategic placement in high-need locations by reducing travel time and service redundancy and ultimately improving health outcomes in medically underserved populations.
Authors
- Brian Witrick (ORCID: https://orcid.org/0000-0002-3800-8695)
- Lior Rennert (ORCID: https://orcid.org/0000-0001-5275-7273)
- Shakhawat H. Tanim (ORCID: https://orcid.org/0000-0002-0609-0233)
- David White
Institutions
- Clemson University (US)
Publication Details
- Journal
- medRxiv
- Published
- 2026-01-02
- DOI
- https://doi.org/10.64898/2025.12.29.25342286
- Primary Topic
- Healthcare Operations and Scheduling Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Gilead Sciences
- National Institutes of Health
- Centers for Disease Control and Prevention
- U.S. National Library of Medicine