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Current Medical Imaging


ISSN (Print): 1573-4056
ISSN (Online): 1875-6603

Review Article

COVID-19: Challenges and its Technological Solutions using IoT

Author(s): Farhana Ajaz, Mohd Naseem*, Sparsh Sharma, Mohammad Shabaz and Gaurav Dhiman

Volume 18, Issue 2, 2022

Published on: 15 February, 2021

Page: [113 - 123] Pages: 11

DOI: 10.2174/1573405617666210215143503


COVID-19 is a global pandemic that has affected many countries in a short span of time. People worldwide are susceptible to this deadly disease. To control the prevailing havoc of coronavirus, researchers are adopting techniques like plasma therapy, proning, medicines, etc. To stop the rapid spread of COVID-19, contact tracing is one of the important ways to check the infected people. This paper explains the various challenges people and health practitioners are facing due to COVID-19. In this paper, various ways with which the impact of COVID-19 can be controlled using IoT technology have been discussed. A six-layer architecture of IoT solutions for containing the deadly COVID-19 has been proposed. In addition to this, the role of machine learning techniques for diagnosing COVID-19 has been discussed in this paper, and a quick explanation of the unmanned aerial vehicle (UAVs) applications for contact tracing has also been specified. From the study conducted, it is evident that IoT solutions can be used in various ways for restricting the impact of COVID-19. Furthermore, IoT can be used in the healthcare sector to assure people's safety and good health with minimal costs.

Keywords: Architecture, contact tracing, COVID-19, IoT, UAV, COVID-19 solutions, technological challenges of COVID-19.

Graphical Abstract
Zhai P, Ding Y, Wu X, Long J, Zhong Y, Li Y. The epidemiology, diagnosis and treatment of COVID-19. Int J Antimicrob Agents 2020; 55(5): 105955.
[] [PMID: 32234468]
Khanday AMUD, Rabani ST, Khan QR, Rouf N, Din MMU. Machine learning based approaches for detecting COVID-19 using clinical text data. Int J Inform Technol 2020; 12: 731-9.
Peeri NC, Shrestha N, Rahman MS, et al. The SARS, MERS and novel Coronavirus (COVID-19) epidemics, the newest and biggest global health threats: what lessons have we learned? Int J Epidemiol 2020; 49(3): 717-26.
CDC/ Alissa Eckert, MSMI; Dan Higgins, MAMS.
Chen L, Xiong J, Bao L, Shi Y. Convalescent plasma as a potential therapy for COVID-19. Lancet Infect Dis 2020; 20(4): 398-400.
[] [PMID: 32113510]
Shen C, Wang Z, Zhao F, et al. Treatment of 5 critically ill patients with COVID-19 with convalescent plasma. JAMA 2020; 323(16): 1582-9.
[] [PMID: 32219428]
Cunningham AC, Goh HP, Koh D. Treatment of COVID-19: old tricks for new challenges. Crit Care 2020; 24 Article number: 91.
Kumar K, Kumar N, Shah R. Role of IoT to avoid spreading of COVID-19. Int J Intell Netw 2020; 1: 32-5.
Alam T. Internet of things and blockchain-based framework for coronavirus (COVID-19) disease. 2020. Available at: or
Haleem A, Javaid M, Khan IH. Internet of things (IoT) applications in orthopaedics. J Clin Orthop Trauma 2020; 11(Suppl. 1): S105-6.
[] [PMID: 31992928]
Yeh KH. A secure IoT-based healthcare system with body sensor networks. IEEE Access 2016; 4: 10288-99.
Elhoseny M, Ramírez-González G, Abu-Elnasr OM, Shawkat SA, Arunkumar N, Farouk A. Secure medical data transmission model for IoT-based healthcare systems. IEEE Access 2018; 6: 20596-608.
Islam SR, Kwak D, Kabir MH, Hossain M, Kwak KS. The internet of things for health care: a comprehensive survey. IEEE Access 2015; 3: 678-708.
Wu T, Wu F, Redoute JM, Yuce MR. An autonomous wireless body area network implementation towards IoT connected healthcare applications. IEEE Access 2017; 5: 11413-22.
Otoom M, Otoum N, Alzubaidi MA, Etoom Y, Banihani R. An IoT-based framework for early identification and monitoring of COVID-19 cases. Biomed Signal Process Control 2020; 62: 102149.
[] [PMID: 32834831]
Nguyen HH, Mirza F, Naeem MA, Nguyen M. A review on IoT healthcare monitoring applications and a vision for transforming sensor data into real-time clinical feedback. 2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD). 257-62.
Singh RP, Javaid M, Haleem A, Suman R. Internet of things (IoT) applications to fight against COVID-19 pandemic. Diabetes Metab Syndr 2020; 14(4): 521-4.
[] [PMID: 32388333]
Fatima SA, Hussain N, Balouch A, Rustam I, Saleem M, Asif M. IoT enabled smart monitoring of coronavirus empowered with fuzzy inference system. Int J Adv Res Ideas Innov Technol 2020; 6-194.(1): 188-94.
Naseem M, Kumar C. Queue‐based multiple path load balancing routing protocol for MANETs. Int J Commun Syst 2017; 30(6): e3141.
Naseem M, Kumar C. QSLB: queue size based single path load balancing routing protocol for MANETs. Int J Ad Hoc Ubiquitous Comput 2017; 24(1-2): 90-100.
Naseem M, Kumar C. Congestion-aware Fibonacci sequence based multipath load balancing routing protocol for MANETs. Wirel Pers Commun 2015; 84(4): 2955-74.
Naseem M, Kumar C. Distributed bandwidth guarantee using Multi-path routing protocol in Mobile ad hoc network. 2014 International Conference on Science Engineering and Management Research (ICSEMR). Chennai, India.
Kolhar M, Al-Turjman F, Alameen A, Abualhaj MM. A three layered decentralized IoT biometric architecture for city lockdown during COVID-19 outbreak. IEEE Access 2020; 8: 163608-17.
Zgheib R, Conchon E, Bastide R. Semantic middleware architectures for IoT healthcare applications. Enhanced Living Environments. Cham: Springer 2019; pp. 263-94.
Rahman MS, Peeri NC, Shrestha N, Zaki R, Haque U, Ab Hamid SH. Defending against the novel coronavirus (COVID-19) outbreak: How can the internet of things (IoT) help to save the World?. Health Policy Technol 2020; 9(2): 136-8.
Nasajpour M, Pouriyeh S, Parizi RM, Dorodchi M, Valero M, Arabnia HR. Internet of Things for current COVID-19 and future pandemics: An exploratory study. J Healthc Inform Res 2020; 1-40. [Epub ahead of print]
Ajaz F, Naseem M, Ahamad G, Sharma S, Abbasi E. An analysis of cloud computing based on internet of things. Integration of Cloud Computing with Internet of Things. Foundations, Analytics and Applications, Wiley-Scrivener 2020; pp. 197-210.
Dhaliwal JK, Naseem M, Lawaye A, Abbasi H. Fibonacci series based virtual machine selection for load balancing in cloud computing. Int J Eng Technol 2018; 7(3): 1071-7.
Mohammed MN, Hazairin NA, Al-Zubaidi S. Toward a novel design for coronavirus detection and diagnosis system using iot based drone technology. Int J Psychosoc Rehabil 2020; 24(7): 2287-95.
Singh P, Dhiman G. Uncertainty representation using fuzzy-entropy approach: Special application in remotely sensed high-resolution satellite images (RSHRSIs). Appl Soft Comput 2018; 72: 121-39.
Garg L, Chukwu E, Nasser N, Chakraborty C, Garg G. Anonymity preserving IoT-based COVID-19 and other infectious disease contact tracing model. IEEE Access 2020; 8: 159402-14.
Chamola V, Hassija V, Gupta V, Guizani M. A comprehensive review of the COVID-19 pandemic and the role of IoT, drones, AI, Blockchain, and 5G in managing its impact. IEEE Access 2020; 8: 90225-65.
Misra S, Deb PK, Koppala N, Mukherjee A, Mao S. S-Nav: Safety-aware IoT navigation tool for avoiding COVID-19 hotspots. IEEE IoT J 2020; 8(8): 6975-82.
Dhiman G, Kumar V. Spotted hyena optimizer: A novel bio-inspired based metaheuristic technique for engineering applications. Adv Eng Softw 2017; 114: 179.
Dhiman G, Kumar V. Emperor penguin optimizer: A bio-inspired algorithm for engineering problems. Knowl Base Syst 2018; 159: 20-50.
Dhiman G, Kumar V. Multi-objective spotted hyena optimizer: A multi-objective optimization algorithm for engineering problems. Knowl Base Syst 2018; 150: 175-97.
Dhiman G, Kumar V. STOA: A bio-inspired based optimization algorithm for industrial engineering problems. Eng Appl Artif Intell 2019; 82: 148-74.

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