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Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic: Innovative Approaches pp 3–19Cite as

Digital Transformation and Emerging Technologies for Tackling COVID-19 Pandemic

Part of the Studies in Systems, Decision and Control book series (SSDC,volume 322)

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.

Keywords

  • Digital transformation
  • Emerging technologies
  • Artificial intelligence
  • Internet of things
  • Big data
  • Blockchain
  • Cloud computing
  • The fourth industrial revolution
  • COVID-19
  • Coronavirus

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References

  1. https://www.who.int/csr/don/12-january-2020-novelcoronavirus-china/en/. Accessed 12 July 2020

  2. World Health Organization:Novel Coronavirus (2019-ncov): Situation Report, 91’. Accessed 12 July 2020

    Google Scholar 

  3. Singhal, T.: A review of coronavirus disease-2019 (COVID-19). Indian J. Pediatr. 1–6 (2020)

    Google Scholar 

  4. Chan-Yeung, M., Xu, R.: SARS: epidemiology. Respirology 8(Suppl S9), 14 (2003)

    Google Scholar 

  5. World Health Organization:Critical Preparedness, Readiness and Response Actions for COVID-19: Interim Guidance, 22 Mar 2020

    Google Scholar 

  6. 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

    CrossRef  Google Scholar 

  7. 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

  8. 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)

    CrossRef  Google Scholar 

  9. 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

    CrossRef  MathSciNet  Google Scholar 

  10. Ting, D.S.W., Carin, L., Dzau, V., Wong, T.Y.: Digital technology and COVID-19.Nat. Med. 1–3 (2020)

    Google Scholar 

  11. 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

  12. 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)

    Google Scholar 

  13. Toh, C.K.:Security for Smart Cities.IET Smart Cities, pp. 1–10 (2020)

    Google Scholar 

  14. 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

    CrossRef  Google Scholar 

  15. https://www.worldometers.info/coronavirus/. Accessed 12 July 2020

  16. 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

  17. 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

  18. 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

  19. 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)

    Google Scholar 

  20. Schmitt, M.: How to Fight COVID-19 with Machine Learning—Towards Data Science [Online]. Accessed 12 July 2020

    Google Scholar 

  21. 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)

    Google Scholar 

  22. Obeidat, S.: How Artificial Intelligence is Helping Fight the COVID-19 Pandemic[Online]. Available https://www.entrepreneur.com/article/348368. Accessed 12 July 2020

  23. 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

  24. 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

  25. Godin, M.: How European Countries are Lifting Coronavirus Restrictions[Online]. Available https://time.com/5822470/countries-lifting-coronavirus-restrictions-europe. Accessed 12 July 2020

  26. Baldwin, R., Tomiura, E.: Thinking Ahead About the Trade Impact of COVID-19.Economics in the Time of COVID-19, p. 59 (2020)

    Google Scholar 

  27. 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

  28. 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

  29. 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

  30. 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)

    Google Scholar 

  31. 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

  32. Telemedicine Defined [Online]. Available https://www.amdtelemedicine.com/telemedicine-resources/telemedicinedefined.htm. Accessed 12 July 2020

  33. 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)

    Google Scholar 

  34. UV Disinfection with Pulsed Xenon to Combat HAIs[Online]. Available https://www.xenex.com/. Accessed 12 July 2020

  35. AI in Healthcare, 2018, website https://www.nature.com/articles/s41551-018-0305. Accessed 12 July 2020

  36. https://www.cmu.edu/news/stories/archives/2020/march/coronavirus-a-wakeup-call-for-robotics-research.html. Accessed 12 July 2020

  37. 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)

    CrossRef  Google Scholar 

  38. 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)

    CrossRef  Google Scholar 

  39. Miglani, A., Kumar, N., Chamola, V., Zeadally, S.: Blockchain for internet of energy management: review, solutions, and challenges.Comput. Commun. (2020)

    Google Scholar 

  40. Alladi, T., Chamola, V., Sahu, N., Guizani, M.: Applications of blockchain in unmanned aerial vehicles: a review.Vehic. Commun. 100249 (2020)

    Google Scholar 

  41. 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)

    Google Scholar 

  42. 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)

    Google Scholar 

  43. 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)

    Google Scholar 

  44. Adolph, C., Amano, K., Bang Jensen, B., et al.:Pandemic politics: timing state-level social distancing responses to COVID-19. medRxiv (2020)

    Google Scholar 

  45. 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)

    CrossRef  Google Scholar 

  46. 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)

    Google Scholar 

  47. 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

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Author information

Authors and Affiliations

  1. Higher Colleges of Technology, Al Ain City, Abu Dhabi, UAE

    Mohamed Elsersy

  2. School of Computing Sciences and Computer Engineering, University of Southern Mississippi, Hattiesburg, USA

    Ahmed Sherif

  3. Faculty of Science, Helwan University, Cairo, Egypt

    Ashraf Darwsih

  4. Faculty of Computers and Artificial Intelligence, Cairo University, Cairo, Egypt

    Aboul Ella Hassanien

  5. Scientific Research Group in Egypt, Cairo, Egypt

    Mohamed Elsersy, Ahmed Sherif, Ashraf Darwsih & Aboul Ella Hassanien

Authors
  1. Mohamed Elsersy
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  2. Ahmed Sherif
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  3. Ashraf Darwsih
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  4. Aboul Ella Hassanien
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Corresponding author

Correspondence to Mohamed Elsersy .

Editor information

Editors and Affiliations

  1. Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt

    Prof. Aboul Ella Hassanien

  2. Faculty of Science, Helwan University, Cairo, Egypt

    Prof. Ashraf Darwish

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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

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