Blockchain and AI-based Solutions to Combat Coronavirus (COVID-19)-like Epidemics: A Survey
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Abstract (arXiv)
The beginning of 2020 has seen the emergence of coronavirus outbreak caused by a novel virus called SARS-CoV-2. The sudden explosion and uncontrolled worldwide spread of COVID-19 show the limitations of existing healthcare systems in timely handling public health emergencies. In such contexts, innovative technologies such as blockchain and Artificial Intelligence (AI) have emerged as promising solutions for fighting coronavirus epidemic. In particular, blockchain can combat pandemics by enabling early detection of outbreaks, ensuring the ordering of medical data, and ensuring reliable medical supply chain during the outbreak tracing. Moreover, AI provides intelligent solutions for identifying symptoms caused by coronavirus for treatments and supporting drug manufacturing. Therefore, we present an extensive survey on the use of blockchain and AI for combating COVID-19 epidemics. First, we introduce a new conceptual architecture which integrates blockchain and AI for fighting COVID-19. Then, we survey the latest research efforts on the use of blockchain and AI for fighting COVID-19 in various applications. The newly emerging projects and use cases enabled by these technologies to deal with coronavirus pandemic are also presented. A case study is also provided using federated AI for COVID-19 detection. Finally, we point out challenges and future directions that motivate more research efforts to deal with future coronavirus-like epidemics.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Jun 2021.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 0; 2024: 1.
4 papers.
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- 2022Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Surveycited by 31
- 2021TB-ICT: A Trustworthy Blockchain-Enabled System for Indoor COVID-19 Contact Tracingcited by 3
- 2024FedGlu: A personalized federated learning-based glucose forecasting algorithm for improved performance in glycemic excursion regionscited by 1
- 2024FedGlu: A personalized federated learning-based glucose forecasting algorithm for improved performance in glycemic excursion regions25 Aug 2024
- 2022Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey18 Mar 2022
- 2021Federated Learning for Smart Healthcare: A Survey16 Nov 2021
- 2021TB-ICT: A Trustworthy Blockchain-Enabled System for Indoor COVID-19 Contact Tracing9 Aug 2021