Blockchain and artificial intelligence applications to defeat COVID-19 pandemic

被引：0
作者：
Baz M. [1 ]
Khatri S. [2 ]
Baz A. [3 ]
Alhakami H. [4 ]
Agrawal A. [2 ]
Khan R.A. [2 ]
机构：
[1] Department of Computer Engineering, College of Computers and Information Technology, Taif University, Taif P.O. Box 11099, Taif
[2] Department of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow
[3] Department of Computer Engineering, College of Computer and Information Systems, Umm Al-Qura University, Makkah
[4] Department of Computer Science, College of Computer and Information Systems, Umm Al-Qura University, Makkah
来源：
Computer Systems Science and Engineering | 2021年 / 40卷 / 02期
关键词：
Artificial intelligence; Coronavirus (COVID-19); Epidemic; Information privacy; Machine learning; SARS-CoV-2;
D O I：
10.32604/CSSE.2022.019079
中图分类号：
学科分类号：
摘要：
The rapid emergence of novel virus named SARS-CoV2 and unchecked dissemination of this virus around the world ever since its outbreak in 2020, provide critical research criteria to assess the vulnerabilities of our current health system. The paper addresses our preparedness for the management of such acute health emergencies and the need to enhance awareness, about public health and healthcare mechanisms. In view of this unprecedented health crisis, distributed ledger and AI technology can be seen as one of the promising alternatives for fighting against such epidemics at the early stages, and with the higher efficacy. At the implementation level, blockchain integration, early detection and avoidance of an outbreak, identity protection and safety, and a secure drug supply chain can be realized. At the opposite end of the continuum, artificial intelligence methods are used to detect corona effects until they become too serious, avoiding costly drug processing. The paper explores the application of blockchain and artificial intelligence in order to fight with COVID-19 epidemic scenarios. This paper analyzes all possible newly emerging cases that are employing these two technologies for combating a pandemic like COVID-19 along with major challenges which cover all technological and motivational factors. This paper has also discusses the potential challenges and whether further production is required to establish a health monitoring system. © 2021 CRL Publishing. All rights reserved.
引用
收藏
页码：691 / 702
页数：11
相关论文
共 41 条
  • [1] Zyskind G., Nathan O., Pentland A., Decentralizing privacy: Using blockchain to protect personal data, Proc. 2015 IEEE Security and Privacy Workshops, 4, pp. 180-184, (2015)
  • [2] Kumar T., Ramani V., Ahmad I., Braeken A., Harjula E., Et al., Blockchain utilization in healthcare: Key requirements and challenges, Proc.2018 IEEE 20th Int. Conf. on e-Health Networking, Applications and Services (Healthcom), 8, 7, pp. 1-7, (2018)
  • [3] Monrat A. A., Schelen O., Andersson K., A survey of blockchain from the perspectives of applications, challenges, and opportunities, IEEE Access, 7, 8, pp. 117134-117151, (2019)
  • [4] Kuo T. T., Kim H. E., Machado L. O., Blockchain distributed ledger technologies for biomedical and health care applications, Journal of the American Medical Informatics Association, 24, 6, pp. 1211-1220, (2017)
  • [5] Scriber B. A., A framework for determining blockchain applicability, IEEE Software, 35, 4, pp. 70-77, (2018)
  • [6] Griggs K. N., Ossipova O., Kohlios C. P., Baccarini A. N., Howson E. A., Et al., Healthcare blockchain system using smart contracts for secure automated remote patient monitoring, Journal of Medical Systems, 42, 7, pp. 1-18, (2018)
  • [7] Bhushan B., Khamparia A., Sagayam K. M., Sharma S. K., Ahad M. A., Et al., Blockchain for smart cities: A review of architectures, integration trends and future research directions, Sustainable Cities and Society, 61, 1, pp. 1023-1060, (2020)
  • [8] Wang Y., McKee M., Torbica A., Stuckler D., Systematic literature review on the spread of health-related misinformation on social media, Social Science & Medicine, 240, 1, pp. 112552-112563, (2019)
  • [9] Allington D., Duffy B., Wessely S., Dhavan N., Rubin J., Health-protective behaviour, social media usage and conspiracy belief during the COVID-19 public health emergency, Psychological Medicine, 42, 7, pp. 1-7, (2020)
  • [10] Dubovitskaya A., Xu Z., Ryu S., Schumacher M., Wang F., Secure and trustable electronic medical records sharing using blockchain, Proc. AMIA Annual Sym. Proc, 24, 6, pp. 650-659, (2017)
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