ORCID
0000-0003-4809-5718 (Chen), 0000-0002-8492-5267 (El-Adle), 0000-0003-1812-0572 (Richter)
Document Type
Article
Publication Date
2025
DOI
10.1371/journal.pone.0333696
Publication Title
PLoS One
Volume
20
Issue
10
Pages
e0333696 (1-24)
Abstract
Access to healthcare remains a critical challenge for rural populations, particularly in flood-prone coastal communities where transportation barriers limit access to essential medical services. This study evaluates the effectiveness of drone-based medication delivery in improving healthcare accessibility for vulnerable populations on Virginia’s Eastern Shore. Compared to traditional personal vehicle travel, drone delivery reduced trip times from up to 50 minutes to under 10 minutes for more than 80% of the population, including elderly patients. Using publicly available datasets, we developed two transportation vulnerability indices that incorporate age, travel time, and flood risk to prioritize patients for drone-based pharmaceutical delivery. These indices were examined using Getis-Ord Gi* spatial analysis, which identified statistically significant clusters of high-need patients, particularly around the northernmost drone station. The results reveal that elderly residents in remote, low-lying areas are especially vulnerable to missed prescriptions due to both transportation barriers and flooding. Our approach demonstrates how drone delivery can reduce healthcare access disparities while offering a scalable and resilient framework for other medically underserved regions, especially under time or resource constraints.
Rights
© 2025 Chen et al.
This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability
Article states: "All the geospatial outcomes are available from the Harvard Dataverse (webpage: https://dataverse.harvard.edu/dataverse/DroneDOTSMART)."
Original Publication Citation
Chen, Y. H., El-Adle, A. M., O'Brien, K. J., Wentworth, T., & Richter, H. G. (2025). Drone-based medication delivery for rural, flood-prone coastal communities. PLoS One, 20(10), 1-24, Article e0333696. https://doi.org/10.1371/journal.pone.0333696
Repository Citation
Chen, Y. H., El-Adle, A. M., O'Brien, K. J., Wentworth, T., & Richter, H. G. (2025). Drone-based medication delivery for rural, flood-prone coastal communities. PLoS One, 20(10), 1-24, Article e0333696. https://doi.org/10.1371/journal.pone.0333696
Included in
Climate Commons, Community Health and Preventive Medicine Commons, Health and Medical Administration Commons, Systems Engineering and Multidisciplinary Design Optimization Commons, Transportation Engineering Commons