Geospatial Mapping of Drone Delivery Routes for Public Health Logistics Planning.
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| Title: | Geospatial Mapping of Drone Delivery Routes for Public Health Logistics Planning. |
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| Authors: | MATTHEW, UGOCHUKWU OKWUDILI1 okwudili.ugochukwu@estudante.ufla.br, ROSA, RENATA LOPES1 renata.rosa@ufla.br, SALGADO, ANDRE DE LIMA1 andre.salgado@ufla.br, ADENIKE, OYEDEMI OLUYEMISI1 yemisiawosanoyedemi@gmail.com, RODRIGUEZ, DEMOSTENES Z.1 demostenes.zegarra@ufla.br |
| Source: | INFOCOMP: Journal of Computer Science. Dec2025, Vol. 24 Issue 2, p1-15. 15p. |
| Subjects: | Drone aircraft delivery, Digital mapping, Digital health, Drone aircraft, Medical care, Medical supplies industry, Flight planning (Aeronautics) |
| Geographic Terms: | Nigeria |
| 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. [ABSTRACT FROM AUTHOR] |
| Copyright of INFOCOMP: Journal of Computer Science is the property of INFOCOMP: Journal of Computer Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 191967767 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Geospatial Mapping of Drone Delivery Routes for Public Health Logistics Planning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22MATTHEW%2C+UGOCHUKWU+OKWUDILI%22">MATTHEW, UGOCHUKWU OKWUDILI</searchLink><relatesTo>1</relatesTo><i> okwudili.ugochukwu@estudante.ufla.br</i><br /><searchLink fieldCode="AR" term="%22ROSA%2C+RENATA+LOPES%22">ROSA, RENATA LOPES</searchLink><relatesTo>1</relatesTo><i> renata.rosa@ufla.br</i><br /><searchLink fieldCode="AR" term="%22SALGADO%2C+ANDRE+DE+LIMA%22">SALGADO, ANDRE DE LIMA</searchLink><relatesTo>1</relatesTo><i> andre.salgado@ufla.br</i><br /><searchLink fieldCode="AR" term="%22ADENIKE%2C+OYEDEMI+OLUYEMISI%22">ADENIKE, OYEDEMI OLUYEMISI</searchLink><relatesTo>1</relatesTo><i> yemisiawosanoyedemi@gmail.com</i><br /><searchLink fieldCode="AR" term="%22RODRIGUEZ%2C+DEMOSTENES+Z%2E%22">RODRIGUEZ, DEMOSTENES Z.</searchLink><relatesTo>1</relatesTo><i> demostenes.zegarra@ufla.br</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22INFOCOMP%3A+Journal+of+Computer+Science%22">INFOCOMP: Journal of Computer Science</searchLink>. Dec2025, Vol. 24 Issue 2, p1-15. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Drone+aircraft+delivery%22">Drone aircraft delivery</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+mapping%22">Digital mapping</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+health%22">Digital health</searchLink><br /><searchLink fieldCode="DE" term="%22Drone+aircraft%22">Drone aircraft</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+care%22">Medical care</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+supplies+industry%22">Medical supplies industry</searchLink><br /><searchLink fieldCode="DE" term="%22Flight+planning+%28Aeronautics%29%22">Flight planning (Aeronautics)</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Nigeria%22">Nigeria</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of INFOCOMP: Journal of Computer Science is the property of INFOCOMP: Journal of Computer Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 1 Subjects: – SubjectFull: Drone aircraft delivery Type: general – SubjectFull: Digital mapping Type: general – SubjectFull: Digital health Type: general – SubjectFull: Drone aircraft Type: general – SubjectFull: Medical care Type: general – SubjectFull: Medical supplies industry Type: general – SubjectFull: Flight planning (Aeronautics) Type: general – SubjectFull: Nigeria Type: general Titles: – TitleFull: Geospatial Mapping of Drone Delivery Routes for Public Health Logistics Planning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: MATTHEW, UGOCHUKWU OKWUDILI – PersonEntity: Name: NameFull: ROSA, RENATA LOPES – PersonEntity: Name: NameFull: SALGADO, ANDRE DE LIMA – PersonEntity: Name: NameFull: ADENIKE, OYEDEMI OLUYEMISI – PersonEntity: Name: NameFull: RODRIGUEZ, DEMOSTENES Z. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 18074545 Numbering: – Type: volume Value: 24 – Type: issue Value: 2 Titles: – TitleFull: INFOCOMP: Journal of Computer Science Type: main |
| ResultId | 1 |
