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Detection and monitoring of the asymptotic COVID-19 patients using IoT devices and sensors

Rajeesh Kumar N.V. (Department of Computer Science and Engineering, Amrita College of Engineering and Technology, Nagercoil, India)
Arun M. (Department of Computer Science and Engineering, Amrita College of Engineering and Technology, Nagercoil, India)
Baraneetharan E. (Department of Electrical and Electronics Engineering, Surya Engineering College, Erode, India)
Stanly Jaya Prakash J. (Department of CSE, Mahendra Institute of Technology, Namakkal, India)
Kanchana A. (Department of CSE, Mahendra Engineering College For Women, Namakkal, India)
Prabu S. (Department of ECE, Mahendra Institute of Technology, Namakkal, India)

International Journal of Pervasive Computing and Communications

ISSN: 1742-7371

Article publication date: 23 September 2020

Issue publication date: 25 July 2022

612

Abstract

Purpose

Many investigations are going on in monitoring, contact tracing, predicting and diagnosing the COVID-19 disease and many virologists are urgently seeking to create a vaccine as early as possible. Even though there is no specific treatment for the pandemic disease, the world is now struggling to control the spread by implementing the lockdown worldwide and giving awareness to the people to wear masks and use sanitizers. The new technologies, including the Internet of things (IoT), are gaining global attention towards the increasing technical support in health-care systems, particularly in predicting, detecting, preventing and monitoring of most of the infectious diseases. Similarly, it also helps in fighting against COVID-19 by monitoring, contract tracing and detecting the COVID-19 pandemic by connection with the IoT-based smart solutions. IoT is the interconnected Web of smart devices, sensors, actuators and data, which are collected in the raw form and transmitted through the internet. The purpose of this paper is to propose the concept to detect and monitor the asymptotic patients using IoT-based sensors.

Design/methodology/approach

In recent days, the surge of the COVID-19 contagion has infected all over the world and it has ruined our day-to-day life. The extraordinary eruption of this pandemic virus placed the World Health Organization (WHO) in a hazardous position. The impact of this contagious virus and scarcity among the people has forced the world to get into complete lockdown, as the number of laboratory-confirmed cases is increasing in millions all over the world as per the records of the government.

Findings

COVID-19 patients are either symptomatic or asymptotic. Symptomatic patients have symptoms such as fever, cough and difficulty in breathing. But patients are also asymptotic, which is very difficult to detect and monitor by isolating them.

Originality/value

Asymptotic patients are very hazardous because without knowing that they are infected, they might spread the infection to others, also asymptotic patients might be having very serious lung damage. So, earlier prediction and monitoring of asymptotic patients are mandatory to save their life and prevent them from spreading.

Keywords

Citation

N.V., R.K., M., A., E., B., J., S.J.P., A., K. and S., P. (2022), "Detection and monitoring of the asymptotic COVID-19 patients using IoT devices and sensors", International Journal of Pervasive Computing and Communications, Vol. 18 No. 4, pp. 407-418. https://doi.org/10.1108/IJPCC-08-2020-0107

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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