Blockchain for COVID-19: Review, Opportunities, and a Trusted Tracking System.

Blockchain COVID-19 Coronavirus Ethereum Smart contracts Traceability Tracking system Transparency Trusted oracles

Journal

Arabian journal for science and engineering
ISSN: 2193-567X
Titre abrégé: Arab J Sci Eng
Pays: Germany
ID NLM: 101698714

Informations de publication

Date de publication:
2020
Historique:
received: 12 06 2020
accepted: 17 09 2020
pubmed: 20 10 2020
medline: 20 10 2020
entrez: 19 10 2020
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 33072472
doi: 10.1007/s13369-020-04950-4
pii: 4950
pmc: PMC7549424
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

9895-9911

Informations de copyright

© King Fahd University of Petroleum & Minerals 2020.

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Auteurs

Dounia Marbouh (D)

Department of Industrial and Systems Engineering, Khalifa University, Abu Dhabi, 127788 United Arab Emirates.

Tayaba Abbasi (T)

Department of Electrical and Computer Engineering, Khalifa University, Abu Dhabi, 127788 United Arab Emirates.

Fatema Maasmi (F)

Department of Electrical and Computer Engineering, Khalifa University, Abu Dhabi, 127788 United Arab Emirates.

Ilhaam A Omar (IA)

Department of Industrial and Systems Engineering, Khalifa University, Abu Dhabi, 127788 United Arab Emirates.

Mazin S Debe (MS)

Department of Electrical and Computer Engineering, Khalifa University, Abu Dhabi, 127788 United Arab Emirates.

Khaled Salah (K)

Department of Electrical and Computer Engineering, Khalifa University, Abu Dhabi, 127788 United Arab Emirates.

Raja Jayaraman (R)

Department of Industrial and Systems Engineering, Khalifa University, Abu Dhabi, 127788 United Arab Emirates.

Samer Ellahham (S)

Heart and Vascular Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates.

Classifications MeSH