Geospatial Mapping of Drone Delivery Routes for Public Health Logistics Planning

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Published: Dec 23, 2025

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Okwudili Matthew Ugochukwu
a:1:{s:5:"en_US";s:34:"Hussaini Adamu Federal Polytechnic";}
Renata Lopez Rosa
Federal University of Lavras
ANDRE DE LIMA SALGADO
Federal University of Lavras
Oyedemi Oluyemisi Adenike
Federal University of Lavras
Demostenes Zegarra Rodriguez
Federal University of Lavras

Abstract

This study established the role of geospatial mapping in optimizing drone delivery routes for strategic public healthcare logistics delivery planning, focusing on improving access to essential medical supplies in underserved regions of the developing nations. The research aimed to evaluate the contribution of Unmanned Aerial Vehicles (UAVs) in enhancing medical logistics, their potential adoption within Nigeria’s healthcare supply chain, and their significance in advancing digital healthcare automation
in medical applications such as vaccine delivery, blood transport, and emergency response within the broader context of digital healthcare automation. Employing geospatial analysis, remote sensing data, and route optimization algorithms, the study models efficient drone corridors between distribution hubs and rural health centers. Using a mixed research methodology approach, the study integrates geospatial analysis, healthcare logistics data, and Internet of Things (IoT)–enabled drone simulations to
model efficient flight paths for the delivery of vaccines, blood products, and emergency medical consumables. Findings from comparative analysis with Rwanda’s established drone healthcare model reveal that UAVs can reduce delivery time by over 70%, minimize wastage of medical resources, and improve emergency responsiveness in rural health systems. The study emphasizes that the effective implementation of drone-enabled healthcare logistics in Nigeria depends on the development of robust ICT infrastructure, including digital mapping systems, broadband connectivity, and real-time data integration. The research
concludes that geospatially optimized drone delivery offers a strategic pathway to achieving equitable healthcare access, strengthening health system resilience, and driving digital transformation in national healthcare automation.

Article Details

How to Cite
Ugochukwu, O. M., Rosa, R. L., SALGADO, A. D. L., Adenike, O. O., & Rodriguez, D. Z. (2025). Geospatial Mapping of Drone Delivery Routes for Public Health Logistics Planning. INFOCOMP Journal of Computer Science, 24(2). Retrieved from https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/5359
Issue
Vol. 24 No. 2 (2025): December 2025
Section
Articles

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