Abstract
Coronavirus disease 2019 is a global pandemic with high transmissibility. All the countries of the world have adopted and applied different measures to fight against this pandemic, with varying degrees of success. Countries that have been able to maintain low per-capita death rates from COVID-19 have adopted strategies that include early surveillance, contact tracing, testing and strict quarantine. The effective implementation of these strategies requires the support of new technologies like Artificial Intelligence, Internet of Things, Deep Learning, Big Data and Blockchain and new mobile apps. This paper presents the role of these emerging technologies to prevent, monitor, mitigate and analyze the spread of COVID-19 and it also presents the challenges related to the design, development and use of these technologies. In addition, it provides some information and suggestions for improving the use of the technology and producing better solutions to better control and fight against the COVID-19 pandemic.
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References
Sein, M. K.: The serendipitous impact of COVID-19 pandemic: a rare opportunity for re-search and practice. Int. J. Inf. Manag. 55, 102164 (2020)
O’Leary, D.E.: Evolving information systems and technology research issues for COVID-19 and other pandemics. J. Org. Comput. Electron. Commerce 30(1), 1–8 (2020)
Luo, H., Tang, Q.L., Shang, Y.X., et al.: Can Chinese medicine be used for prevention of corona virus disease 2019 (COVID-19)? A review of historical classics, research evidence and current prevention programs. Chin. J. Integr. Med. 26(4), 243–250 (2020)
Chen, S., Yang, J., Yang, W., et al.: COVID-19 control in China during mass population movements at New Year. Lancet 395(10226), 764–766 (2020)
Ting, D.S.W., Carin, L., Dzau, V., et al.: Digital technology and COVID-19. Nat. Med. 26(4), 459–461 (2020)
Li, L., Qin, L., Xu, Z., et al.: Artificial intelligence distinguishes COVID-19 from community acquired pneumonia on chest CT. Radiology, 200905 (2020)
Vigilante, K., Escaravage, S., McConnell, M.: Big data and the intelligence community-lessons for health care. N. Engl. J. Med. 380(20), 1888–1890 (2019)
King, J.S.: COVID-19 and the need for health care reform. N. Engl. J. Med. 382(26), e104 (2020)
Wang, S., Zha, Y., Li, W., et al.: A fully automatic deep learning system for COVID19 di-agnostic and prognostic analysis. Eur. Respir. J. 56(2), 1–11 (2020)
Chong, A.Y.L., Lim, E.T., Hua, X., Zheng, S., et al.: Business on chain: a comparative case study of five Blockchain-inspired business models. J. Assoc. Inf. Syst. 20(9), 9 (2019)
Khurshid, A.: Applying Blockchain technology to address the crisis of trust during the COVID-19 pandemic. JMIR Med. Inf. 8(9), e20477 (2020)
Yang, T., Gentile, M., Shen, C.F., et al.: Combining point-of-care diagnostics and internet of medical things (IoMT) to combat the COVID-19 pandemic. Diagnostics 10(4), 224 (2020)
He, S.: Using the internet of things to fight virus outbreaks. Available at https://www.technologynetworks.com/immunology/articles/using-the-internetof-things-to-fight-virus-outbreaks-331992. Last accessed 2021/03/01
Nasajpour, M., Pouriyeh, S., Parizi, R.M., et al.: Internet of Things for current COVID-19 and future pandemics: an exploratory study. J. Healthcare Inf. Res. 4, 325–364 (2020)
Johns Hopkins University: Coronavirus resource center: COVID-19 global cases. https://coronavirus.jhu.edu/map.html. Last accessed 2021/03/01
Thomas Reuters: Germany launches new smartwatch application to monitor coronavirus spread. https://www.reuters.com/article/ushealth-coronavirusgermany-tech/germany-launches-smartwatchapp-to-monitor-coronavirus-spreadidUSKBN21P1SS. Last accessed 2021/03/3
Bardhan, I., Chen, H., Karahanna, E.: Connecting systems, data, and people: a multidisciplinary research roadmap for chronic disease management. MIS Q. 44(1), 185–200 (2020)
Bolt, K.: Facebook used its AI smarts to build detailed disease prevention maps (2020). Available at https://www.engadget.com/2019-05-20-facebook-ai-diseaseprevention-maps-demographics-movement-network-coverage.html
Gurgu, E., Andronie, M., Andronie, M., et al.: Does the convergence of the Blockchain, the Internet of Things and artificial intelligence changing our lives, education and the known world of the Internet?! Some changes and perspectives for the international economy. In: International Conference on Economic Sciences and Business Administration, vol. 5(1), pp. 69–88 (2019). Spiru Haret University
Agbo, C.C., Mahmoud, Q.H., Eklund, J.M.: Blockchain technology in healthcare: a systematic review. Healthcare 7(2), 56–86 (2019)
Yan, L., Tan, Y.: Feeling blue? Go online: an empirical study of social support among pa-tients. Inf. Syst. Res. 25(4), 690–709 (2014)
Scott, D.: What good digital contact tracing might look like. https://www.vox.com/2020/4/22/21231443/coronavirus-contact-tracing-appstates. Last accessed 2021/02/23
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Ouchetto, O., Jai-Andaloussi, S. (2022). Fighting Covid-19 Pandemic: What Role for Digital Technology?. In: Saeed, F., Al-Hadhrami, T., Mohammed, E., Al-Sarem, M. (eds) Advances on Smart and Soft Computing. Advances in Intelligent Systems and Computing, vol 1399. Springer, Singapore. https://doi.org/10.1007/978-981-16-5559-3_44
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DOI: https://doi.org/10.1007/978-981-16-5559-3_44
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