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2023 | OriginalPaper | Chapter

1. A Study on COVID–19, Its Origin, Phenomenon, Variants, and IoT-Based Framework to Detect the Presence of Coronavirus

Authors : Vikas Menon, Digvijay Pandey, Dishant Khosla, Mandheer Kaur, Harshit Kumar Vashishtha, A. Shaji George, Binay Kumar Pandey

Published in: IoT Based Smart Applications

Publisher: Springer International Publishing

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Abstract

An ongoing pandemic SS-RNA viral infection initiated from the Chinese province has threatened people throughout the globe. Coronavirus or COVID-19 or 2019-nCoV as a contagious infection is spreading day-by-day threatening the livelihood of people. The main objective of this paper is to find out solutions for the detection of this contagious viral infection at the earliest. Computer-based artificial intelligence can be used to monitor and detect the symptoms of coronavirus. For detection of coronavirus infection, computers or smartphones can be embedded with biosensors that will perceive the information and will convert the information into digital data. In this paper, a study on the coronavirus is done and an IoT-based framework is proposed to detect the coronavirus using IoT-based sensors. The proposed approach will be able to detect the pandemic in its early stages, and better options for prevention and cure will be discussed.

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Metadata
Title
A Study on COVID–19, Its Origin, Phenomenon, Variants, and IoT-Based Framework to Detect the Presence of Coronavirus
Authors
Vikas Menon
Digvijay Pandey
Dishant Khosla
Mandheer Kaur
Harshit Kumar Vashishtha
A. Shaji George
Binay Kumar Pandey
Copyright Year
2023
Book
IoT Based Smart Applications

Print ISBN: 978-3-031-04523-3

Electronic ISBN: 978-3-031-04524-0

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-3-031-04524-0_1

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