Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts

Quoc-Viet Pham; Dinh C Nguyen; Thien Huynh-The; Won-Joo Hwang; Pubudu N Pathirana

doi:10.1109/ACCESS.2020.3009328

Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts

IEEE Access. 2020 Jul 15:8:130820-130839. doi: 10.1109/ACCESS.2020.3009328. eCollection 2020.

Authors

Quoc-Viet Pham¹, Dinh C Nguyen², Thien Huynh-The³, Won-Joo Hwang^{4

5}, Pubudu N Pathirana²

Affiliations

¹ Research Institute of Computer, Information and CommunicationPusan National University Busan 46241 South Korea.
² School of EngineeringDeakin University Waurn Ponds VIC 3216 Australia.
³ ICT Convergence Research CenterKumoh National Institute of Technology Gumi 39177 South Korea.
⁴ Department of Biomedical Convergence EngineeringPusan National University Busan 46241 South Korea.
⁵ Department of Information Convergence Engineering (Artificial Intelligence)Pusan National University Busan 46241 South Korea.

Abstract

The very first infected novel coronavirus case (COVID-19) was found in Hubei, China in Dec. 2019. The COVID-19 pandemic has spread over 214 countries and areas in the world, and has significantly affected every aspect of our daily lives. At the time of writing this article, the numbers of infected cases and deaths still increase significantly and have no sign of a well-controlled situation, e.g., as of 13 July 2020, from a total number of around 13.1 million positive cases, 571,527 deaths were reported in the world. Motivated by recent advances and applications of artificial intelligence (AI) and big data in various areas, this paper aims at emphasizing their importance in responding to the COVID-19 outbreak and preventing the severe effects of the COVID-19 pandemic. We firstly present an overview of AI and big data, then identify the applications aimed at fighting against COVID-19, next highlight challenges and issues associated with state-of-the-art solutions, and finally come up with recommendations for the communications to effectively control the COVID-19 situation. It is expected that this paper provides researchers and communities with new insights into the ways AI and big data improve the COVID-19 situation, and drives further studies in stopping the COVID-19 outbreak.

Keywords: Artificial intelligence (AI); COVID-19; big data; coronavirus; data analytics; deep learning; epidemic outbreak; machine learning.

This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.

Grants and funding

This work was supported in part by the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (MSIT), Korea Government under Grant NRF-2019R1C1C1006143 and Grant NRF-2019R1I1A3A01060518, and in part by the Institute of Information & Communications Technology Planning & Evaluation (IITP) funded by the Korea Government (MSIT) through the Artificial Intelligence Convergence Research Center, Pusan National University under Grant 2020-0-01450.