Blockchain for COVID-19: Review, Opportunities, and a Trusted Tracking System.
Blockchain for COVID-19: Review, Opportunities, and a Trusted Tracking System.
复制标题
区块链用于 COVID-19： 回顾、机遇和可信跟踪系统。
DOI：
10.1007/s13369-020-04950-4
复制
发表时间：
2020
影响因子：
2.9
通讯作者：
Ellahham S
中科院分区：
文献类型：
--
作者：
Marbouh D;Abbasi T;Maasmi F;Omar IA;Debe MS;Salah K;Jayaraman R;Ellahham S
COVID-19大流行的突然发展揭示了现代医疗保健系统处理公共卫生紧急情况的局限性。显然，采用区块链等创新技术可以帮助有效的计划操作和资源部署。区块链技术可以在医疗保健领域发挥重要作用，例如通过减少监管部门批准的延迟，并简化供应链的各种利益相关者之间的沟通，等等。爆发和现有平台缺乏验证数据真实性的能力，从而导致公众恐慌和非理性行为。因此，开发基于区块链的跟踪系统对于确保公共和政府机构收到的信息是可靠且值得信赖的。在本文中，我们回顾了各种区块链应用程序和机会，以打击Covid-19的大流行，并为从各种外部来源收集的COVID-19数据开发跟踪系统。我们建议使用以太坊智能合约和甲骨文提出，实施和评估基于区块链的系统，以跟踪与从可信赖来源获得的新案件，死亡人数和恢复案件相关的报告数据。我们提出了详细的算法，以捕获网络中利益相关者之间的交互作用。我们提出了安全分析和利益相关者产生的成本，并强调了我们工作的挑战和未来方向。我们的工作表明，提出的解决方案在经济上是可行的，并确保了利益相关者之间的数据完整性，安全性，透明度，数据可追溯性。
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.
影响因子：
5.4
作者：
Mukhi, Sunil;Poddar, Rahul;Singh, Palash
通讯作者：
Singh, Palash
影响因子：
2.5
作者：
Benchoufi M;Ravaud P
通讯作者：
Ravaud P
DOI：
10.1186/s13638-019-1620-0
发表时间：
2020-01-29
影响因子：
2.6
作者：
Bian, Xun;Zhang, Chaomin;Zhao, Jinwen
通讯作者：
Zhao, Jinwen