Big Data Models and Artificial Intelligence in COVID-19 : A Systematic Literature Review

Detta är en Kandidat-uppsats från Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

Sammanfattning: The study aims to identify the role of artificial intelligence and big data that can help us to confront the COVID-19. The study adopted the literature review methodology by reading and analyzing academic studies. This study was divided into two parts: a theoretical part that deals with the basic concepts of artificial intelligence and big data, and an analytical section that deals with reviewing and analyzing artificial intelligence and big data applications to confront COVID-19, including Contact Tracing Apps, then find the weaknesses and develop a recommendation list. The paper concludes that artificial intelligence and big data applications and apps could help to confrontCOVID-19 to some extent. However, artificial intelligence and big data are in the first steps. Moreover, they have not yet had a significant impact on controlling the COVID-19 since some issues and challenges hamper the use of these technologies like accuracy and public trust, etc. Hard work from governments is required in order to overcome these challenges in the first place. It is doubtful that these challenges will be addressed during the COVID-19. However, it is a great learning experience and an opportunity to develop our technologies to overcome future pandemics.

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