Evidence map›Paper›PMID 41872279›Full record

ArticleScientific reports2026

Privacy-preserving vaccine supply chain management leveraging blockchain and self-sovereign identity.

Brijesh Kumar Chaurasia, Nikita Tiwari, Nikhil Pateria

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Brijesh Kumar ChaurasiaDepartment of Computer Science and Engineering, Pranveer Singh Institute of Technology, Kanpur, UP, India.
Nikita TiwariSchool of Computer Science, UPES Dehradun, Dehradun, UK, India. nikita.tiwari25@gmail.com.
Nikhil PateriaSchool of Computer Science and Engineering, Manipal University Jaipur, Jaipur, 303007, Rajasthan, India. nikhil.pateria@jaipur.manipal.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blockchain technology's potential to enhance efficiency, security, and transparency has attracted a lot of attention to its integration into vaccination supply chain management in recent years. This work presents a comprehensive study on leveraging self-sovereign identity, blockchain, and privacy-preserving techniques to optimize vaccine distribution. We conduct a comparative analysis of existing blockchain-based frameworks, evaluating their effectiveness in addressing key challenges such as traceability, counterfeit prevention, and data privacy. The empirical results prove the efficacy of the proposed supply chain framework. Additionally, we identify and discuss critical challenges current systems face, including scalability issues, interoperability constraints, and privacy concerns. Our findings provide a robust foundation for future research and development in the field, proposing potential improvements and strategies to overcome the identified challenges.

Indexed as

BlockchainPrivacyVaccinesHumansVaccinesAnd interoperabilityBlockchainCounterfeit preventionSelf-sovereign identity (SSI)Supply chain managementTraceability

Identifiers

PMID41872279
PMCPMC13153204

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.