Application of Artificial Intelligence and Big Data for Fighting COVID-19 Pandemic
Joseph Bamidele Awotunde (),
Sakinat Oluwabukonla (),
Chinmay Chakraborty (),
Akash Kumar Bhoi () and
Gbemisola Janet Ajamu ()
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Joseph Bamidele Awotunde: University of Ilorin
Sakinat Oluwabukonla: Olabisi Onabanjo University
Chinmay Chakraborty: Birla Institute of Technology
Akash Kumar Bhoi: Sikkim Manipal Institute of Technology (SMIT), Sikkim Manipal University (SMU)
Gbemisola Janet Ajamu: Landmark University
Chapter Chapter 1 in Decision Sciences for COVID-19, 2022, pp 3-26 from Springer
Abstract:
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.
Keywords: Artificial intelligence; Coronavirus; Big data analytics; Healthcare system; Decision science (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-030-87019-5_1
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DOI: 10.1007/978-3-030-87019-5_1
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