Evidence map›Paper›PMID 40012625›Full record

ArticleFrontiers in pharmacology2025

Leveraging AI to optimize vaccines supply chain and logistics in Africa: opportunities and challenges.

Sulaiman Muhammad Musa, Usman Abubakar Haruna, Lukman Jibril Aliyu, Mubarak Zubairu, Don Eliseo Lucero-Prisno

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sulaiman Muhammad MusaDepartment of Pharmaceutical Services, Ahmadu Bello University Teaching Hospital, Shika Zaria, Nigeria.
Usman Abubakar HarunaFaculty of Pharmaceutical Sciences, Ahmadu Bello University, Zaria, Nigeria.
Lukman Jibril AliyuZipline, Kaduna, Nigeria.
Mubarak ZubairuUNICEF Country Office, Abuja, Nigeria.
Don Eliseo Lucero-PrisnoDepartment of Global and Development, London School of Hygiene and Tropical Medicine, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

AfricaArtificial intellingenceoptimazationsupply chain managementvaccines distribution

Identifiers

PMID40012625
PMCPMC11862030

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.