Leveraging AI to optimize vaccines supply chain and logistics in Africa: opportunities and challenges
Examining the current situation of the vaccine supply chain in Africa, the article highlights the importance of AI technologies while outlining the prospects and problems in vaccine supply chain management in Africa. Despite the significance of vaccinations, many African children are unable to recei...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-02-01
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| Series: | Frontiers in Pharmacology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fphar.2025.1531141/full |
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| author | Sulaiman Muhammad Musa Usman Abubakar Haruna Lukman Jibril Aliyu Mubarak Zubairu Don Eliseo Lucero-Prisno Don Eliseo Lucero-Prisno Don Eliseo Lucero-Prisno |
| author_facet | Sulaiman Muhammad Musa Usman Abubakar Haruna Lukman Jibril Aliyu Mubarak Zubairu Don Eliseo Lucero-Prisno Don Eliseo Lucero-Prisno Don Eliseo Lucero-Prisno |
| author_sort | Sulaiman Muhammad Musa |
| collection | DOAJ |
| description | Examining the current situation of the vaccine supply chain in Africa, the article highlights the importance of AI technologies while outlining the prospects and problems in vaccine supply chain management in Africa. Despite the significance of vaccinations, many African children are unable to receive them due to logistical challenges and a lack of infrastructure. AI has the potential to increase productivity by streamlining logistics and inventory management, but it is hampered by issues with data privacy and technology infrastructure. This perspectiveoffers ways for utilizing AI to enhance vaccine supply chains in Africa, citing successful experiences in Nigeria, Malawi, Rwanda, and Ghana as examples of AI’s advantages. In order to improve healthcare outcomes and immunization coverage in Africa, cooperation among stakeholders is stressed. |
| format | Article |
| id | doaj-art-00c4d7e6edec4f49926b5cee13eb194e |
| institution | Kabale University |
| issn | 1663-9812 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Pharmacology |
| spelling | doaj-art-00c4d7e6edec4f49926b5cee13eb194e2025-02-12T08:34:38ZengFrontiers Media S.A.Frontiers in Pharmacology1663-98122025-02-011610.3389/fphar.2025.15311411531141Leveraging AI to optimize vaccines supply chain and logistics in Africa: opportunities and challengesSulaiman Muhammad Musa0Usman Abubakar Haruna1Lukman Jibril Aliyu2Mubarak Zubairu3Don Eliseo Lucero-Prisno4Don Eliseo Lucero-Prisno5Don Eliseo Lucero-Prisno6Department of Pharmaceutical Services, Ahmadu Bello University Teaching Hospital, Shika Zaria, NigeriaFaculty of Pharmaceutical Sciences, Ahmadu Bello University, Zaria, NigeriaZipline, Kaduna, NigeriaUNICEF Country Office, Abuja, NigeriaDepartment of Global and Development, London School of Hygiene and Tropical Medicine, London, United KingdomOffice for Research, Innovation and Extension Services, Southern Leyte State University, Sogod, Southern Leyte, PhilippinesCenter for University Research, University of Makati, Makati, PhilippinesExamining the current situation of the vaccine supply chain in Africa, the article highlights the importance of AI technologies while outlining the prospects and problems in vaccine supply chain management in Africa. Despite the significance of vaccinations, many African children are unable to receive them due to logistical challenges and a lack of infrastructure. AI has the potential to increase productivity by streamlining logistics and inventory management, but it is hampered by issues with data privacy and technology infrastructure. This perspectiveoffers ways for utilizing AI to enhance vaccine supply chains in Africa, citing successful experiences in Nigeria, Malawi, Rwanda, and Ghana as examples of AI’s advantages. In order to improve healthcare outcomes and immunization coverage in Africa, cooperation among stakeholders is stressed.https://www.frontiersin.org/articles/10.3389/fphar.2025.1531141/fullArtificial intellingenceAfricavaccines distributionsupply chain managementoptimazation |
| spellingShingle | Sulaiman Muhammad Musa Usman Abubakar Haruna Lukman Jibril Aliyu Mubarak Zubairu Don Eliseo Lucero-Prisno Don Eliseo Lucero-Prisno Don Eliseo Lucero-Prisno Leveraging AI to optimize vaccines supply chain and logistics in Africa: opportunities and challenges Frontiers in Pharmacology Artificial intellingence Africa vaccines distribution supply chain management optimazation |
| title | Leveraging AI to optimize vaccines supply chain and logistics in Africa: opportunities and challenges |
| title_full | Leveraging AI to optimize vaccines supply chain and logistics in Africa: opportunities and challenges |
| title_fullStr | Leveraging AI to optimize vaccines supply chain and logistics in Africa: opportunities and challenges |
| title_full_unstemmed | Leveraging AI to optimize vaccines supply chain and logistics in Africa: opportunities and challenges |
| title_short | Leveraging AI to optimize vaccines supply chain and logistics in Africa: opportunities and challenges |
| title_sort | leveraging ai to optimize vaccines supply chain and logistics in africa opportunities and challenges |
| topic | Artificial intellingence Africa vaccines distribution supply chain management optimazation |
| url | https://www.frontiersin.org/articles/10.3389/fphar.2025.1531141/full |
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