Abstract
Since the first confirmed case in December 2019, the coronavirus disease-19 (COVID-19) pandemic has affected every aspect of our lives and caused severe difficulties to healthcare systems in the world. Many approaches have been investigated to mitigate this pandemic, such as lockdown, social distancing, mask wearing, and working from home. At the same time, a great deal of COVID-related data (e.g., X-ray images, transportation histories, and confirmed case statistics) has been generated, which can be effectively used for various purposes. In the battle against the pandemic, artificial intelligence (AI) and big data have found various applications thanks to their distinctive capabilities in analyzing the data and finding notable features from the massive and heterogeneous data. In this chapter, we focus on highlighting the applications of AI and big data for the COVID-19 outbreak. In particular, we review state-of-the-art solutions using AI and big data to fight against COVID-19, such as detection, diagnosis, tracking, and social distancing. We also present a set of challenges and recommendations, which may provide new insights and drive novel research solutions to stop the COVID-19 pandemic.
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