Международный журнал роевого интеллекта и эволюционных вычислений

Абстрактный

Artificial Intelligence and Big Data in Fighting COVID-19

Lidong Wang, Cheryl Ann Alexander

COVID-19 was caused by SARSCoV-2, spread rapidly, and became a global pandemic within a few months. Almost all countries have tried preventing or mitigating the risks of COVID-19 using various advanced technologies such as Artificial Intelligence (AI), big data and Big Data analytics, robotics and autonomous robots, blockchain technology, Internet of Things (IoT), Internet of Medical Things (IoMT), and 5G networks. This paper mainly introduces the applications and progress of AI such as deep learning (DL) in testing and diagnosis; drug repurposing, drug discovery, and vaccine development; and the prediction of COVID-19, the prevention of its spread, and public sentiment analysis. Big data in mitigating the risk of COVID-19 and big data combined with AI in fighting COVID-19 are presented. Challenges of AI applications in COVID-19 as well as future prospect, some shortcomings of AI technologies and Big Data analytics, and AI combined with blockchain technology for combating COVID-19 are also discussed.