Abstract
This paper presents a thorough review for researches that are proposed to address the COVID-19 disease by employing IoT techniques. COVID-19 disease, caused by a large family of coronaviruses, causes illness in humans and animals. The pandemic of COVID-19 has had unforeseeable global implications for the economy, customers, and social life. The lockdown policy restricted the movement of people as the only measure in the battle against the pandemic, reduced the reach of business operations, and changed the patterns of behavior of consumers who turned to stock accumulation in a panic. The Internet of Things (IoT) has been used as technology in a variety of applications. The current major research activities are proof that prosperity tracking by remote sensing is dependent on IoT. IoT should be used to prevent the distribution of COVID-19. IoT is a connection between physical devices and the Internet. Devices can monitor and respond in addition to the sense and record. IoT continues to be an effective tool for keeping track of an infected patient, which will restrict the spread of COVID-19. Technology appears today; in an internet-based environment, particularly in the present pandemic crisis, COVID-19, the feasible use of an educational technology tool can be achieved. The ability to respond to this global challenge continues to have a tremendous impact on the innovative application of digital technologies which can continue to be used to improve performance.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
M. Otoom, N. Otoum, M.A. Alzubaid, Y. Etoom, R. Banihani, An IoT-based framework for early identification and monitoring of COVID-19 cases. Biomed. Signal Process. Control 62, 102149 (2020)
M. Angurala, M. Bala, S.S. Bamber, R. Kaur, P. Singh, An internet of things assisted drone based approach to reduce rapid spread of COVID-19. J. Saf. Sci. Resilience 1, 31–35 (2020)
A. Rahman, M.S. Hossain, N.A. Alrajeh, F. Alsolami, Adversarial examples-security threats to COVID-19 deep learning systems in medical IoT devices. IEEE Internet Things J. (2020). https://doi.org/10.1109/JIOT.2020.3013710
M. Kolhar, F. AL-Turjman, A. Alameen, M.M. Abualhaj, A three layered decentralized IoT biometric architecture for city lockdown during COVID-19 outbreak. IEEE Access 8, 163608–163617 (2020)
L. Bai, D. Yang, X. Wang, L. Tong, X. Zhu, Y. Song, Chinese experts’ consensus on the Internet of Things-aided diagnosis and treatment of coronavirus disease 2019 (COVID-19). Clin. eHealth 3, 7–15 (2020)
M. AL-Shalabi, COVID-19 symptoms monitoring mechanism using internet of things and wireless sensor networks. IJCSNS 8(20), 16 (2020)
M.U. Ashraf, A. Hannan, S.M. Cheema, Z. Ali, A. Alofi, Detection and tracking contagion using IoT-edge technologies, in Confronting COVID-19 Pandemic. 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (IEEE, 2020), pp. 1–6
R.M. Rasool, T.F.N. Bukht, N. Bukht, R. Ahmad, P. Malik, Detection and diagnosis system of novel Covid-19 using Internet of Things and send alert. J. Inf. Comput. Sci. 10(7), 1548–7741 (2020)
I.J. Akpan, D. Soopramanien, D.H. Kwak, Cutting-edge technologies for small business and innovation in the era of COVID-19 global health pandemic. J. Small Bus. Entrepreneurship, 1–11 (2020)
T.M.N.U. Akhund, W.B. Jyot, M.A.B. Siddik, N.T. Newaz, S.A. Al Wahid, M.M. Sarker, IoT based low-cost robotic agent design for disabled and Covid-19 virus affected people, in 2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4) (IEEE, 2020), pp. 23–26
T. Alam, Internet of Things and Blockchain-Based Framework for Coronavirus (Covid-19) Disease. Available at SSRN 3660503 (2020)
V. Singh, H. Chandna, A. Kumar, S. Kumar, N. Upadhyay, K.K. Utkarsh, IoT-Q-Band: a low cost internet of things based wearable band to detect and track absconding COVID-19 quarantine subjects. EAI Endorsed Trans. Internet Things 21(6) (2020)
S. Ketu, P.K. Mishra, Enhanced Gaussian process regression-based forecasting model for COVID-19 outbreak and significance of IoT for its detection. Appl. Intell. 1–21 (2020)
R. Vijay Anand, J. Prabhu, P.J. Kumar, S.S. Manivannan, S. Rajendran, K.R. Kumar, S. Susi, R. Jothikumar, IoT role in prevention of COVID-19 and health care workforces behavioural intention in India-an empirical examination. Int. J. Pervasive Comput. Commun. (2020)
M.T. Vafea, E. Atalla, J. Georgakas, F. Shehadeh, E.K.M. Mylona, M.E. Kalligeros, Emerging technologies for use in the study, diagnosis, and treatment of patients with COVID-19. Cell. Mol. Bioeng. 4(13), 249–257 (2020)
V.K. Singh, H. Chandna, A. Kumar, S. Kumar, N. Upadhyay, K. Utkarsh, IoT-Q-Band: a low cost internet of things based wearable band to detect and track absconding COVID-19 quarantine subjects. EAI Endorsed Trans. Internet Things 21(6) (2020)
N. Petrović, D. Kocić, IoT-based system for COVID-19 indoor safety monitoring, in Proceeding of 7th International IcETRAN Conference (2020), pp. 1–6
S.N. Chaudhari, S.P. Mene, R.M. Bora, K.N. Somavanshi, Role of Internet of Things (IOT) in pandemic Covid-19 condition. Int. J. Eng. Res. Appl. 10(6), (Series-III), 57–61 (2020)
F. Hassan Kumbhar, S.A. Hassan, S.Y. Shin, New normal: cooperative paradigm for Covid-19 timely detection and containment using Internet of Things and deep learning. arXiv e-prints, arXiv: 2008.12103
S.K. Udgata, N.K. Suryadevara, Advances in sensor technology and IoT framework to mitigate COVID-19 challenges, in Internet of Things and Sensor Network for COVID-19 (Springer, Singapore), pp. 55–82
G. Praveena, D. Sruthi, Novel Covid-19 detection and diagnosis system using IOT based smart helmet. JAC J. Compos. Theory XIII(IV), 0731–6755 (2020)
D. Mobo, Using learning management systems in an Internet of Things (IOT) smartphone device amidst COVID-19 crisis. Comput. Law Rev. Technol. J., Am. Res. J. Comput. Sci. Inf. Technol. 4(1), 1–3 (Forthcoming)
A.V. Lucca, R. Luchtenberg, L.G. de Paula Conceicao, L.A. Silva, R.G. Ovejero, M. Navarro-Cáceres, V.R.Q. Leithardt, System for control and management of data privacy of patients with COVID-19. Preprints.org (2020). https://doi.org/10.20944/preprints202007.0369.v1
O. Taiwo, A.E. Ezugwu, Smart healthcare support for remote patient monitoring during Covid-19 quarantine. Inf. Med. Unlocked, 100428 (2020)
S. Kumar, R.D. Raut, B.E. Narkhede, A proposed collaborative framework by using artificial intelligence-internet of things (AI-IoT) in COVID-19 pandemic situation for healthcare workers. Int. J. Healthc. Manag., 1–9 (2020)
N.V. Rajesh Kumar, M. Arun, E. Baraneetharan, A. Kanchana, S. Prabu, Detection and monitoring of the asymptotic COVID-19 patients using IoT devices and sensors. Int. J. Pervasive Comput. Commun. (2020). https://doi.org/10.1108/IJPCC-08-2020-0107
R. Vijay Anand, J. Prabhu, P.J. Kumar, S.S. Manivannan, S. Rajendran, K.R. Kumar, S. Susi, R. Jothikumar, IoT role in prevention of COVID-19 and health care workforces behavioural intention in India-an empirical examination. Int. J. Pervasive Comput. Commun. 16(4), 331–340 (2020). https://doi.org/10.1108/IJPCC-06-2020-0056
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Mahmood, M., AL-Kubaisy, W.J., AL-Khateeb, B. (2022). Review of IoT for COVID-19 Detection and Classification. In: Khanna, A., Gupta, D., Bhattacharyya, S., Hassanien, A.E., Anand, S., Jaiswal, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1394. Springer, Singapore. https://doi.org/10.1007/978-981-16-3071-2_68
Download citation
DOI: https://doi.org/10.1007/978-981-16-3071-2_68
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-3070-5
Online ISBN: 978-981-16-3071-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)