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An intelligent framework using disruptive technologies for COVID-19 analysis.

Mohamed Abdel-Basset1, Victor Chang2, Nada A Nabeeh3

  • 1Faculty of Computers and Informatics, Zagazig University, 44519, Sharqiyah, Egypt.

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Summary
This summary is machine-generated.

This study introduces a framework leveraging disruptive technologies like AI and IoT for COVID-19 analysis. It aims to control outbreaks, protect healthcare workers, and improve patient care during pandemics.

Keywords:
5 GBlockchainCovid-19HealthcareIndustry 4.0Internet of medical things (iomt)

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Area of Science:

  • Health Informatics
  • Technology Management
  • Epidemiology

Background:

  • COVID-19 analysis requires advanced solutions to manage outbreaks and healthcare demands.
  • Disruptive technologies offer potential for digital transformation in healthcare.
  • Existing frameworks may not adequately address the multifaceted challenges of pandemic response.

Purpose of the Study:

  • To present a novel framework utilizing disruptive technologies for effective COVID-19 analysis.
  • To enhance pandemic response by restricting disease spread and ensuring healthcare safety.
  • To provide governmental oversight for technology adoption during unprecedented health crises.

Main Methods:

  • Integration of disruptive technologies: Artificial Intelligence (AI), Internet of Things (IoT), IoMT, Big Data, VR, Drones, Autonomous Robots, 5G, and blockchain.
  • Development of a framework for COVID-19 analysis and outbreak management.
  • Empirical case study analysis of real COVID-19 patient data.

Main Results:

  • The proposed framework effectively restricts COVID-19 spread and enhances healthcare team safety.
  • It addresses shortages of Personal Protective Equipment (PPE) and reduces hospital pressure.
  • The framework aids in tracking recovered patients for plasma therapy and supports rapid clinical decision-making.

Conclusions:

  • Disruptive technologies are crucial for Industry 4.0 and pandemic preparedness.
  • The intelligent framework demonstrates importance in limiting COVID-19 outbreaks.
  • Adoption of such technologies enables better management of healthcare resources and patient treatment during pandemics.