ArticleJournal of business research2023
Vaccine supply chain management: An intelligent system utilizing blockchain, IoT and machine learning.
Article in Journal of business research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Digital transformation and emerging technologies in healthcare and pharmaceutical supply chains: a bibliometric mapping review.Frontiers in digital health · 2026Pooled it
- Literature review: Current trends and future prospects of digital vaccine supply chain support technology.Human vaccines & immunotherapeutics · 2025Pooled it
- Blockchain-based solution for secure and transparent pharmaceutical supply chain management using drugledger.Scientific reports · 2026Article
- An intelligent drug supply chain management and recommendation framework using blockchain and TRPO-driven multi-agent learning.Scientific reports · 2026Article
- PoPI: A machine learning-based consensus mechanism for blockchain-enabled IoT systems.PloS one · 2026Article
- The Use and Importance ofArtificial Intelligence in Vaccine Research, Development, and Production.Archives of Razi Institute · 2025Review
- Research on operation strategy of multiple channels pharmaceutical supply chain based on blockchain technology.Scientific reports · 2025Article
- Leveraging AI to optimize vaccines supply chain and logistics in Africa: opportunities and challenges.Frontiers in pharmacology · 2025Article
- Review
- Internet of Things (IoT)-enabled framework for a sustainable Vaccine cold chain management system.Heliyon · 2024Review
- Review
- Blockchain integration in healthcare: a comprehensive investigation of use cases, performance issues, and mitigation strategies.Frontiers in digital health · 2024Review
- Toward Sensor Measurement Reliability in Blockchains.Sensors (Basel, Switzerland) · 2023Article
- IoT platforms assessment methodology for COVID-19 vaccine logistics and transportation: a multi-methods decision making model.Scientific reports · 2023Article
- Does PM2.5 (Pollutant) Reduce Firms' Innovation Output?International journal of environmental research and public health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Vaccination offers health, economic, and social benefits. However, three major issues-vaccine quality, demand forecasting, and trust among stakeholders-persist in the vaccine supply chain (VSC), leading to inefficiencies. The COVID-19 pandemic has exacerbated weaknesses in the VSC, while presenting opportunities to apply digital technologies to manage it. For the first time, this study establishes an intelligent VSC management system that provides decision support for VSC management during the COVID-19 pandemic. The system combines blockchain, internet of things (IoT), and machine learning that effectively address the three issues in the VSC. The transparency of blockchain ensures trust among stakeholders. The real-time monitoring of vaccine status by the IoT ensures vaccine quality. Machine learning predicts vaccine demand and conducts sentiment analysis on vaccine reviews to help companies improve vaccine quality. The present study also reveals the implications for the management of supply chains, businesses, and government.
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Registered trials
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.