2021/01/02 by Sunder Ali Khowaja, Khowaja, Sunder Ali, Parus Khuwaja +3
Computer Science · Medicine · #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #Computers and Society (cs.CY) #FOS: Computer and information sciences #Internet of Things and AI #IoT and Edge/Fog Computing #Networking and Internet Architecture (cs.NI)
paper · pdf · doi:10.48550/arxiv.2101.02030
openalex publication_date 2021/01/02 · openalex created_date 2021/01/18 · openalex updated_date 2026/07/28
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.