Blockchain for COVID-19: Review, Opportunities, and a Trusted Tracking System
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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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Fusion of AI techniques to tackle COVID-19 pandemic: models, incidence rates, and future trends
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A review of the environmental implications of the COVID-19 pandemic in the United Arab Emirates
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Blockchain as an enabling technology in the COVID-19 pandemic: a systematic review
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Anthropomorphic Robotic Eyes: Structural Design and Non-Verbal Communication Effectiveness
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- Authors
- Marbouh, D., Abbasi, T., Maasmi, F., Omar, I. A., Debe, M. S., Salah, K., Jayaraman, R., & Ellahham, S.
- Affiliations
- Khalifa University of Science and Technology (AE)
- Cleveland Clinic Abu Dhabi (AE)
- Corresponding author
- Salah, Khaled
- Venue
- Arabian Journal for Science and Engineering
- Published
- 2020-10-12
- Volume
- 45
- Issue
- 12
- Pages
- 9895-9911
- ISSN
- 1319-8025 (ISSN-L)
- 2193-567X
- 2191-4281
- PMC
- PMC7549424
- OpenAlex
- W3041773921
- Cited by
- 267
- References
- 16
- Citations by year
- 2026: 4 · 2025: 16 · 2024: 34 · 2023: 57 · 2022: 69 · 2021: 74 · 2020: 12 · 2019: 1
- FWCI
- 7.69
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Arabian Journal for Science and Engineering (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Figshare (submittedVersion, cc-by-nc-sa)
- Funders
- Khalifa University of Science, Technology and Research (CIRA-2019-001)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Physical Sciences › Computer Science › Information Systems › COVID-19 Digital Contact Tracing
- Keywords
- blockchain, COVID-19 pandemic, Ethereum smart contracts, oracles, data integrity, data traceability, misinformation, public health data, clinical trial data management, supply chain transparency, stakeholder interaction, security analysis, cost analysis
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