Internet of Everything enabled solution for COVID-19, its new variants and future pandemics: Framework, Challenges, and Research Directions
Sunder Ali Khowaja, Parus Khuwaja, Kapal Dev

TL;DR
This paper proposes a comprehensive IoE-based framework called CORFIE that integrates wearable sensors to automate health practices, aiming to combat COVID-19, its variants, and future pandemics effectively.
Contribution
It introduces the CORFIE framework, a novel IoE-enabled architecture that unifies various health practices for pandemic management and outlines associated challenges and solutions.
Findings
Proposes a unified IoE-based framework for pandemic response.
Highlights potential of wearable sensors in health monitoring.
Discusses challenges and solutions for implementing CORFIE.
Abstract
After affecting the world in unexpected ways, COVID-19 has started mutating which is evident with the insurgence of its new variants. The governments, hospitals, schools, industries, and humans, in general, are looking for a potential solution in the vaccine which will eventually be available but its timeline for eradicating the virus is yet unknown. Several researchers have encouraged and recommended the use of good practices such as physical healthcare monitoring, immunity-boosting, personal hygiene, mental healthcare, and contact tracing for slowing down the spread of the virus. In this article, we propose the use of wearable/mobile sensors integrated with the Internet of Everything to cover the spectrum of good practices in an automated manner. We present hypothetical frameworks for each of the good practice modules and propose the COvid-19 Resistance Framework using the Internet of…
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Taxonomy
TopicsIoT and Edge/Fog Computing · COVID-19 diagnosis using AI · Internet of Things and AI
