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      Impact of COVID-19 on IoT Adoption in Healthcare, Smart Homes, Smart Buildings, Smart Cities, Transportation and Industrial IoT

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          Abstract

          COVID-19 has disrupted normal life and has enforced a substantial change in the policies, priorities and activities of individuals, organisations and governments. These changes are proving to be a catalyst for technology and innovation. In this paper, we discuss the pandemic’s potential impact on the adoption of the Internet of Things (IoT) in various broad sectors, namely healthcare, smart homes, smart buildings, smart cities, transportation and industrial IoT. Our perspective and forecast of this impact on IoT adoption is based on a thorough research literature review, a careful examination of reports from leading consulting firms and interactions with several industry experts. For each of these sectors, we also provide the details of notable IoT initiatives taken in the wake of COVID-19. We also highlight the challenges that need to be addressed and important research directions that will facilitate accelerated IoT adoption.

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          Response to COVID-19 in Taiwan: Big Data Analytics, New Technology, and Proactive Testing

          C Jason Wang, Chun Ng, Robert H Brook (2020)
          Article 0 comments Cited 619 times – based on 0 reviews     Review now
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            Digital technology and COVID-19

            Daniel Shu Wei Ting, Lawrence Carin, Victor J. Dzau … (2020)
            The past decade has allowed the development of a multitude of digital tools. Now they can be used to remediate the COVID-19 outbreak.
            Article 0 comments Cited 487 times – based on 0 reviews     Review now
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              Artificial Intelligence (AI) applications for COVID-19 pandemic

              Raju Vaishya, Mohd Javaid, Ibrahim Haleem Khan … (2020)
              Background and aims Healthcare delivery requires the support of new technologies like Artificial Intelligence (AI), Internet of Things (IoT), Big Data and Machine Learning to fight and look ahead against the new diseases. We aim to review the role of AI as a decisive technology to analyze, prepare us for prevention and fight with COVID-19 (Coronavirus) and other pandemics. Methods The rapid review of the literature is done on the database of Pubmed, Scopus and Google Scholar using the keyword of COVID-19 or Coronavirus and Artificial Intelligence or AI. Collected the latest information regarding AI for COVID-19, then analyzed the same to identify its possible application for this disease. Results We have identified seven significant applications of AI for COVID-19 pandemic. This technology plays an important role to detect the cluster of cases and to predict where this virus will affect in future by collecting and analyzing all previous data. Conclusions Healthcare organizations are in an urgent need for decision-making technologies to handle this virus and help them in getting proper suggestions in real-time to avoid its spread. AI works in a proficient way to mimic like human intelligence. It may also play a vital role in understanding and suggesting the development of a vaccine for COVID-19. This result-driven technology is used for proper screening, analyzing, prediction and tracking of current patients and likely future patients. The significant applications are applied to tracks data of confirmed, recovered and death cases.
              Article 0 comments Cited 340 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                A.S.M. Kayes: Role: Academic Editor
                Paul Watters: Role: Academic Editor
                Ebrima Ceesay: Role: Academic Editor
                Man Qi: Role: Academic Editor
                Md. Saiful Islam: Role: Academic Editor
                Journal
                Journal ID (nlm-ta): Sensors (Basel)
                Journal ID (iso-abbrev): Sensors (Basel)
                Journal ID (publisher-id): sensors
                Title: Sensors (Basel, Switzerland)
                Publisher: MDPI
                ISSN (Electronic): 1424-8220
                Publication date (Electronic): 01 June 2021
                Publication date Collection: June 2021
                Volume: 21
                Issue: 11
                Electronic Location Identifier: 3838
                Affiliations
                [1 ]Department of Electrical, Electronics and Telecommunication Engineering, New Campus, University of Engineering and Technology, Lahore, Punjab 54890, Pakistan; m.umair@ 123456uet.edu.pk
                [2 ]Faculty of Information Technology, Monash University, Wellington Rd, Clayton, VIC 3800, Australia
                [3 ]IoT Wi-Fi Business Unit, Dialog Semiconductor, Green Park Reading RG2 6GP, UK; omer.cheema@ 123456diasemi.com
                [4 ]Department of Computer Science, Aalborg University, Fredrik Bajers Vej 7K, 9220 Aalborg Øst, Denmark; lihuan@ 123456cs.aau.dk
                [5 ]Department of People and Technology, Roskilde University, Universitetsvej 1, 4000 Roskilde, Denmark; luhua@ 123456ruc.dk
                Author notes
                [* ]Correspondence: aamir.cheema@ 123456monash.edu ; Tel.: +61-3-9905-9662
                Author information
                https://orcid.org/0000-0002-2719-4955
                https://orcid.org/0000-0003-2139-9121
                https://orcid.org/0000-0002-0854-8471
                https://orcid.org/0000-0003-0084-1662
                https://orcid.org/0000-0003-1199-6678
                Article
                Publisher ID: sensors-21-03838
                DOI: 10.3390/s21113838
                PMC ID: 8199516
                PubMed ID: 34206120
                SO-VID: f8d814b4-6e60-4cf7-b2b8-246c8f60e560
                Copyright © © 2021 by the authors.
                License:

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/).

                History
                Date received : 12 May 2021
                Date accepted : 28 May 2021
                Categories
                Subject: Review

                ScienceOpen disciplines: Biomedical engineering
                Keywords: covid-19,internet of things,healthcare,smart homes,smart buildings,smart cities,transportation,industrial iot
                Data availability:
                ScienceOpen disciplines: Biomedical engineering
                Keywords: covid-19, internet of things, healthcare, smart homes, smart buildings, smart cities, transportation, industrial iot

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