The Use of Big Data and Artificial Intelligence in Confronting the COVID-19 Epidemic
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Abstract
In the months leading up to this study Big Data and Artificial Intelligence (AI) were used in several researches, most of which were launched quickly with the aim of helping to understand the evolution of the COVID-19 pandemic that has greatly affected all aspects of our daily lives, mitigating its effects, and developing the necessary preventive and curative measures to counter it.
In this study, we aimed to shed light on a collection of these researches in the areas of outbreak prediction, virus spread tracking, infection diagnosis, suggesting treatment alternatives, supporting public health agencies, and monitoring the psychology of the public. Although many of these researches have not been widely used nor been clinically tested, they have provided insights and meaningful medical information for policy makers and medical staff.
The study adopted the descriptive approach through which the research works reviewed in this study were chosen. Using Big Data and AI separately or together and the relationship to the aforementioned areas were the limitations taken into account when selecting the researches to be reviewed. In this context, their abstracts were presented and organized in a way that achieves the study aims and answers its questions.
By reviewing these researches, we were able to shed light on the challenges and issues associated with the use of Big Data and AI in developing solutions that contributed to combating the novel COVID-19 pandemic at the time of this study or will contribute to combating any similar crises in the future.
Keywords
Security Studies, Artificial Intelligence (AI), Big Data, COVID-19
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References
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