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Application of Artificial Intelligence and Big Data for Fighting COVID-19 Pandemic

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Decision Sciences for COVID-19

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 320))

Abstract

The coronavirus (COVID-19) pandemic is playing sensitive havoc in socio-communal systems, humanity and creates economic crises worldwide. Many strategies have been used to managed and curtailed the COVID-19 outbreak, but many countries are still helpless in fighting and containing the outbreak. In an increasingly knowledge-driven, healthcare innovation, and linked society, fighting COVID-19 becomes easier. The Big Data drives the digital revolution by providing solutions focused on big data analytics empowered by Artificial Intelligence (AI) to reduce the difficulty and cognitive burden of accessing and processing large quantities of data. Hence, big data and AI can have been applied in fighting COVID-19 pandemic since the use of both technologies empowered Big Data Analytics (BDA) and yielded imaginable results in combating infectious diseases globally. Therefore, this paper reviews the applicability and importance of AI and Big Data methods to data produced from the countless ubiquitously connected healthcare devices that produced entrenched and distributed information handling capabilities in fighting COVID-19 outbreak. In the area of managing big data for real-time diagnosing, monitoring, and treating COVID-19 patients, AI enabled with big data analytics has shown tremendous potential. The technologies can also be used in the development of drugs and vaccines within the shortest of time, more than ever before.

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Authors and Affiliations

  1. Department of Computer Science, University of Ilorin, Ilorin, Nigeria

    Joseph Bamidele Awotunde

  2. Department of Mathematical Sciences, Olabisi Onabanjo University, Ago-Iwoye, Nigeria

    Sakinat Oluwabukonla

  3. Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Jharkhand, India

    Chinmay Chakraborty

  4. Department of Electrical and Electronics Engineering, Sikkim Manipal Institute of Technology (SMIT), Sikkim Manipal University (SMU), Majitar, Sikkim, India

    Akash Kumar Bhoi

  5. Department Agricultural Extension and Rural Development, Landmark University, Omu-Aran, Nigeria

    Gbemisola Janet Ajamu

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Correspondence to Joseph Bamidele Awotunde .

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  1. Department of Operations Research and Decision Support, Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt

    Said Ali Hassan

  2. Department of Operations Research, Faculty of Graduate studies for Statistical Research, Cairo University, Giza, Egypt

    Ali Wagdy Mohamed

  3. Department of Statistics and Operations Research, King Saud University, Riyadh, Saudi Arabia

    Khalid Abdulaziz Alnowibet

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Awotunde, J.B., Oluwabukonla, S., Chakraborty, C., Bhoi, A.K., Ajamu, G.J. (2022). Application of Artificial Intelligence and Big Data for Fighting COVID-19 Pandemic. In: Hassan, S.A., Mohamed, A.W., Alnowibet, K.A. (eds) Decision Sciences for COVID-19. International Series in Operations Research & Management Science, vol 320. Springer, Cham. https://doi.org/10.1007/978-3-030-87019-5_1

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