ReviewArabian journal for science and engineering2020
Blockchain for COVID-19: Review, Opportunities, and a Trusted Tracking System.
Review in Arabian journal for science and engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
49 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Blockchain in Health Information Systems: A Systematic Review.International journal of environmental research and public health · 2024Pooled it
- Applications of Blockchain in the Medical Field: Narrative Review.Journal of medical Internet research · 2021Pooled it
- Blockchain Technology to Enhance Clinical Data Management in Healthcare: A Systematic Literature Review.Blockchain in healthcare today · 2026Review
- Blockchain enabled collective and combined deep learning framework for COVID19 diagnosis.Scientific reports · 2025Article
- Enhancing Cancer Care through Blockchain Technology.Asian Pacific journal of cancer prevention : APJCP · 2025Review
- Technological trends in epidemic intelligence for infectious disease surveillance: a systematic literature review.PeerJ. Computer science · 2025Article
- PatCen: A blockchain-based patient-centric mechanism for the granular access control of infectious disease-related test records.PloS one · 2024Article
- Article
- Emerging Technology-Driven Hybrid Models for Preventing and Monitoring Infectious Diseases: A Comprehensive Review and Conceptual Framework.Diagnostics (Basel, Switzerland) · 2023Review
- Blockchain and COVID-19 pandemic: applications and challenges.Cluster computing · 2023Review
- Vaccine supply chain management: An intelligent system utilizing blockchain, IoT and machine learning.Journal of business research · 2023Article
- Identifying resilience strategies for disruption management in the healthcare supply chain during COVID-19 by digital innovations: A systematic literature review.Informatics in medicine unlocked · 2023Review
- Improving the distribution of covid-19 vaccines using the blockchain technology: the Italian case study.Procedia computer science · 2023Article
- CovidBChain: Framework for access-control, authentication, and integrity of Covid-19 data.Concurrency and computation : practice & experience · 2022Article
- Enabling Value Co-Creation in Healthcare through Blockchain Technology.International journal of environmental research and public health · 2022Article
- BBTCD: blockchain based traceability of counterfeited drugs.Health services & outcomes research methodology · 2022Article
- The evolving privacy and security concerns for genomic data analysis and sharing as observed from the iDASH competition.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Electronic health records and blockchain interoperability requirements: a scoping review.JAMIA open · 2022Article
- COVID-19 and future pandemics: A blockchain-based privacy-aware secure borderless travel solution from electronic health records.Software: practice & experience · 2022Article
- Artificial Intelligence and COVID-19: A Systematic umbrella review and roads ahead.Journal of King Saud University. Computer and information sciences · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The sudden development of the COVID-19 pandemic has exposed the limitations in modern healthcare systems to handle public health emergencies. It is evident that adopting innovative technologies such as blockchain can help in effective planning operations and resource deployments. Blockchain technology can play an important role in the healthcare sector, such as improved clinical trial data management by reducing delays in regulatory approvals, and streamline the communication between diverse stakeholders of the supply chain, etc. Moreover, the spread of misinformation has intensely increased during the outbreak, and existing platforms lack the ability to validate the authenticity of data, leading to public panic and irrational behavior. Thus, developing a blockchain-based tracking system is important to ensure that the information received by the public and government agencies is reliable and trustworthy. In this paper, we review various blockchain applications and opportunities in combating the COVID-19 pandemic and develop a tracking system for the COVID-19 data collected from various external sources. We propose, implement, and evaluate a blockchain-based system using Ethereum smart contracts and oracles to track reported data related to the number of new cases, deaths, and recovered cases obtained from trusted sources. We present detailed algorithms that capture the interactions between stakeholders in the network. We present security analysis and the cost incurred by the stakeholders, and we highlight the challenges and future directions of our work. Our work demonstrates that the proposed solution is economically feasible and ensures data integrity, security, transparency, data traceability among stakeholders.
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What OpenQuestion holds
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.