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Internet of Everything enabled solution for COVID-19, its new variants and future pandemics: Framework, Challenges, and Research Directions

arXiv 2101.02030 ↗First posted 2 Jan 2021cs.CY cs.AI cs.NIcited by 0

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Abstract (arXiv)

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 Everything (CORFIE) to tie all the individual modules in a unified architecture. We envision that CORFIE would be influential in assisting people with the new normal for current and future pandemics as well as instrumental in halting the economic losses, respectively. We also provide potential challenges and their probable solutions in compliance with the proposed CORFIE.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 54 references that are in the map. First posted on arXiv 2 Jan 2021.

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References · 2

  1. 2020A Survey of COVID-19 Contact Tracing Appscited by 8
  2. 2020Triage of Potential COVID-19 Patients from Chest X-ray Images using Hierarchical Convolutional Networkscited by 2

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