An intelligent framework using disruptive technologies for COVID-19 analysis

Mohamed Abdel-Basset, Victor Chang*, Nada A. Nabeeh

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


This paper describes a framework using disruptive technologies for COVID-19 analysis. Disruptive technologies include high-tech and emerging technologies such as AI, industry 4.0, IoT, Internet of Medical Things (IoMT), big data, virtual reality (VR), Drone technology, and Autonomous Robots, 5 G, and blockchain to offer digital transformation, research and development and service delivery. Disruptive technologies are essential for Industry 4.0 development, which can be applied to many disciplines. In this paper, we present a framework that uses disruptive technologies for COVID-19 analysis. The proposed framework restricts the spread of COVID-19 outbreaks, ensures the safety of the healthcare teams and maintains patients' physical and psychological healthcare conditions. The framework is designed to deal with the severe shortage of PPE for the medical team, reduce the massive pressure on hospitals, and track recovered patients to treat COVID-19 patients with plasma. The study provides oversight for governments on how to adopt technologies to reduce the impact of unprecedented outbreaks for COVID-19. Our work illustrates an empirical case study on the analysis of real COVID-19 patients and shows the importance of the proposed intelligent framework to limit the current outbreaks for COVID-19. The aim is to help the healthcare team make rapid decisions to treat COVID-19 patients in hospitals, home quarantine, or identifying and treating patients with typical cold or flu.

Original languageEnglish
Article number120431
JournalTechnological Forecasting and Social Change
Early online date29 Oct 2020
Publication statusPublished - 1 Feb 2021

Bibliographical note

Funding Information:
Authors would like to thank Dr. Ahmed Kamal Nabeeh (Medical staff in the corona team of Aljaber Alahmad Alsapah Hospital) for his great support in medical aspects of the COVID-19 regarding the symptoms investigation and results of treatment of the disease. This work is partly supported by VC Research (VCR 0000064).

Publisher Copyright:
© 2020


  • 5 G
  • Blockchain
  • Covid-19
  • Healthcare
  • Industry 4.0
  • Internet of medical things (iomt)


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