Artificial Intelligence for COVID-19 | 2021
Big Data in COVID-19 Assistance—Concepts, Motivations, Advances and Applications in Real-World
Abstract
The first diseased coronavirus event (COVID-19) has been reported in the Hubei, China, December 2019. The COVID-19 epidemic has affected around 214 countries all over the world, that has severely impacted each and every piece of our day-to-day lives. While writing this chapter, the number of diseased cases reported and expiries still rise, and there is no hint of a controlled situation; e.g. worldwide, 4 September 2020, about 26,171,112 confirmed instances of COVID-19, plus 865,154 deaths, testified to WHO. Inspired by current advances and applications of big data in many research fields, this article focuses on accenting the data significance in retorting the COVID-19 outburst, also, averting the harmful consequences of the present situation. Besides, the application of big data is highlighted while comprehending this virus, along with real-world case studies. First of all, an outline of big data is presented, followed by applications intended for combating COVID-19 are recognized, succeeding challenges and problems related to the existing solutions are discussed. Lastly, recommendations are provided to stop the COVID-19 outburst effectually. It has been anticipated that this article offers researchers and groups with a compilation of accessible open resource of datasets in context to the COVID-19, new visions into all of the ways by which big-data revamp the COVID-19 scenario, and promotes additional research studies for ending this COVID-19 epidemic.