Abstract
Several emerging technologies were introduced to tackle the unprecedented crisis of the new COVID-19. Remarkable emerging technologies are outlined, such as machine and deep learning, Internet of things, cloud and fog computing, and blockchain technology. Those emerging technologies have been explored to support the solution proposed to ensure the integration of these technologies to fight the pandemic. Also, numerous emerging technologies used for the COVID-19 fight have been highlighted. Finally, the impact of COVID-19 is discussed, and applications showing how to mitigate this impact using the emerging technologies are outlined.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
https://www.who.int/csr/don/12-january-2020-novelcoronavirus-china/en/. Accessed 12 July 2020
World Health Organization:Novel Coronavirus (2019-ncov): Situation Report, 91’. Accessed 12 July 2020
Singhal, T.: A review of coronavirus disease-2019 (COVID-19). Indian J. Pediatr. 1–6 (2020)
Chan-Yeung, M., Xu, R.: SARS: epidemiology. Respirology 8(Suppl S9), 14 (2003)
World Health Organization:Critical Preparedness, Readiness and Response Actions for COVID-19: Interim Guidance, 22 Mar 2020
Kissler, S.M., Tedijanto, C., Goldstein, E., et al.: Projecting the transmission dynamics of SARS-CoV-2 through the post-pandemic period. Science 368(6493), 860–868 (2020). https://doi.org/10.1126/science.abb5793
International Labour Organization: The Socioeconomic Impact of COVID-19 in Fragile Settings: Peace and Social Cohesion at Risk. https://www.ilo.org/global/topics/employment-promotion/recovery-and-reconstruction/WCMS_741158/langen/index.htm. Accessed 12 July 2020
Guo, B., et al.: Mobile crowdsensing and computing: the review of an emerging human-powered sensing paradigm. ACM Comput. Surv. (CSUR) 48(1), 1–31 (2015)
Doran, D., Severin, K., Gokhale, S., et al.: Social media enabled human sensing for smart cities. AI Commun. 29(1), 57–75 (2015). https://doi.org/10.3233/AIC-150683
Ting, D.S.W., Carin, L., Dzau, V., Wong, T.Y.: Digital technology and COVID-19.Nat. Med. 1–3 (2020)
Digital Technology for Covid-19 Response. Apr 2020 [Online]. Available https://www.who.int/news-room/detail/03-04-2020-digitaltechnology-for-covid-19-response. Accessed 12 July 2020
Fong, M.W., Gao, H., Wong, J.Y., et al.:Nonpharmaceutical measures for pandemic influenza in nonhealthcare settings—social distancing measures.Emerg. Infect. Dis. (2020)
Toh, C.K.:Security for Smart Cities.IET Smart Cities, pp. 1–10 (2020)
Chamola, V., et al.: 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). https://doi.org/10.1109/Access2020.293,2341
https://www.worldometers.info/coronavirus/. Accessed 12 July 2020
Wittbold, K.A., Carroll, C., Iansiti, M., Zhang, H.M., Landman,A.B.:How Hospitals are using AI to Battle Covid-19[Online]. Available https://hbr.org/2020/04/how-hospitals-are-using-ai-to-battlecovid-19. Accessed 12 July 2020
Rees, V.: AI Technology to Screen Existing Drugs for Use Against COVID-19[Online]. Available https://www.drugtargetreview.com/news/59188/ai-technology-toscreen-existing-drugs-for-use-against-covid-19/. Accessed 12 July 2020
Wakefield, J.: Coronavirus: AI Steps up in Battle Against COVID-19.Apr 2020 [Online]. Available https://www.bbc.com/news/technology52120747. Accessed 12 July 2020
Ekins, S., Freundlich, J.S., Clark, A.M., Anantpadma, M., Davey, R.A., Madrid, P.: Machine Learning Models Identify Molecules Active Against the Ebola Virus in Vitro.F1000Research 4 (2015)
Schmitt, M.: How to Fight COVID-19 with Machine Learning—Towards Data Science [Online]. Accessed 12 July 2020
Zhang, H., Saravanan, K.M., Yang, Y., Hossain, M.T., Li, J., Ren, X., Wei, Y.: Deep Learning-Based Drug Screening for Novel Coronavirus 2019-nCov (2020)
Obeidat, S.: How Artificial Intelligence is Helping Fight the COVID-19 Pandemic[Online]. Available https://www.entrepreneur.com/article/348368. Accessed 12 July 2020
WHO Situation Report 79. WHO. Apr 2020 [Online]. Available https://www.who.int/docs/default-source/coronaviruse/situationreports/20200408-sitrep-79-covid-19.pdf?sfvrsn=4796b143_6. Accessed 12 July 2020
Frackowiak, M., Darlak, J., Kobylinska, A., Lund, T.: Factbox: Europe Begins Easing Coronavirus Lockdowns.Apr 2020 [Online]. Available https://www.reuters.com/article/us-health-coronaviruseurope-factbox/factbox-europe-begins-easing-coronavirus-lockdownsidUSKBN21Z1P0. Accessed 12 July 2020
Godin, M.: How European Countries are Lifting Coronavirus Restrictions[Online]. Available https://time.com/5822470/countries-lifting-coronavirus-restrictions-europe. Accessed 12 July 2020
Baldwin, R., Tomiura, E.: Thinking Ahead About the Trade Impact of COVID-19.Economics in the Time of COVID-19, p. 59 (2020)
WHO Situation Report 87. WHO. Apr 2020 [Online]. Available https://www.who.int/docs/default-source/coronaviruse/situationreports/20200416-sitrep-87-covid-19.pdf?sfvrsn=9523115a_2. Accessed 12 July 2020
Rouse, M.: What is IoMT (Internet of Medical Things) or Healthcare IoT? Definition from WhatIs.com[Online]. Available https://internetofthingsagenda.techtarget.com/definition/IoMT-Internet-of-Medical-Things
Medtech and the Internet of Medical Things. Deloitte Centre for Health Solutions [Online]. Available https://www2.deloitte.com/content/dam/Deloitte/global/Documents/Life-Sciences-Health-Care/gx-lshc-medtech-iomt-brochure.pdf. Accessed 12 July 2020
Rodrigues, J.J., Segundo, D.B.D.R., Junqueira, H.A., Sabino, M.H., Prince, R.M., Al-Muhtadi, J., De Albuquerque, V.H.C.: Enabling technologies for the internet of health things.IEEE Access 6, 13129–13141 (2018)
Mcneil Jr. D.C.:Can Smart Thermometers Track the Spread of the Coronavirus? [Online]. Available https://www.nytimes.com/2020/03/18/health/coronavirus-fever-thermometers.html. Accessed 12 July 2020
Telemedicine Defined [Online]. Available https://www.amdtelemedicine.com/telemedicine-resources/telemedicinedefined.htm. Accessed 12 July 2020
Yang, G.-Z., Nelson, B.J., Murphy, R.R., Choset, H., Christensen, H., Collins, S.H., Dario, P., Goldberg, K., Ikuta, K., Jacobstein, N., et. al.: Combating COVID-19—The Role of Robotics in Managing Public Health and Infectious Diseases (2020)
UV Disinfection with Pulsed Xenon to Combat HAIs[Online]. Available https://www.xenex.com/. Accessed 12 July 2020
AI in Healthcare, 2018, website https://www.nature.com/articles/s41551-018-0305. Accessed 12 July 2020
https://www.cmu.edu/news/stories/archives/2020/march/coronavirus-a-wakeup-call-for-robotics-research.html. Accessed 12 July 2020
Eng, C.L., Tong, J.C., Tan, T.W.: Predicting host tropism of influenza a virus proteins using random forest. BMC Med. Genomics 7(S3), S1 (2014)
Babayan, S.A., Orton, R.J., Streicker, D.G.: Predicting reservoir hosts and arthropod vectors from evolutionary signatures in RNA virus genomes. Science 362(6414), 577–580 (2018)
Miglani, A., Kumar, N., Chamola, V., Zeadally, S.: Blockchain for internet of energy management: review, solutions, and challenges.Comput. Commun. (2020)
Alladi, T., Chamola, V., Sahu, N., Guizani, M.: Applications of blockchain in unmanned aerial vehicles: a review.Vehic. Commun. 100249 (2020)
Hassija, V., Chamola, V., Dara, N.G.K., Guizani, M.: A distributed framework for energy trading between UAVs and charging stations.IEEE Trans. Vehic. Technol. 1 (2020)
Hassija, V., Chamola, V., Garg, S., Dara, N.G.K., Kaddoum, G., Jayakody, D.N.K.: A blockchain-based framework for lightweight data sharing and energy trading in v2g network.IEEE Trans. Vehic. Technol. 1 (2020)
Hassija, V., Chamola, V., Han, G., Rodrigues, J., Guizani, M.: Dagiov: a framework for vehicle to vehicle communication using directed acyclic graph and game theory.IEEE Trans. Vehic. Technol. 1 (2020)
Adolph, C., Amano, K., Bang Jensen, B., et al.:Pandemic politics: timing state-level social distancing responses to COVID-19. medRxiv (2020)
Alladi, T., Chamola, V., Rodrigues, J.J., Kozlov, S.A.: Blockchain in smart grids: a review on different use cases. Sensors 19(22), 4862 (2019)
Alladi, T., Chamola, V., Parizi, R.M., Choo, K.-K.R.: Blockchain applications for industry 4.0 and industrial IoT: a review. IEEE Access 7, 176 935–176 951 (2019)
Wright, T.: Blockchain app used to track COVID-19 cases in Latin America. https://cointelegraph.com/news/blockchain-app-usedto-track-covid-19-cases-in-latin-america [Online]. 7 Apr 2020
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Elsersy, M., Sherif, A., Darwsih, A., Hassanien, A.E. (2021). Digital Transformation and Emerging Technologies for Tackling COVID-19 Pandemic. In: Hassanien, A.E., Darwish, A. (eds) Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic: Innovative Approaches. Studies in Systems, Decision and Control, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-030-63307-3_1
Download citation
DOI: https://doi.org/10.1007/978-3-030-63307-3_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-63306-6
Online ISBN: 978-3-030-63307-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)