IEEE Computational Intelligence Magazine - November 2020 - 10

Computational Intelligence
Techniques for Combating
COVID-19: A Survey

©SHUTTERSTOCK/IRINA SHI

Vincent S.Tseng
National Chiao Tung University, TAIWAN.

Josh Jia-Ching Ying
National Chung Hsing University, TAIWAN.

Stephen T.C.Wong
Houston Methodist Cancer Center, USA.

Diane J. Cook
Washington State University, USA.

Jiming Liu
Hong Kong Baptist University, CHINA.

Digital Object Identifier 10.1109/MCI.2020.3019873
Date of current version: 14 October 2020

10

IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE | NOVEMBER 2020

Abstract-Computational intelligence has been used in many
applications in the fields of health sciences and epidemiology.
In particular, owing to the sudden and massive spread of
COVID-19, many researchers around the globe have devoted
intensive efforts into the development of computational intelligence methods and systems for combating the pandemic.
Although there have been more than 200,000 scholarly articles
on COVID-19, SARS-CoV-2, and other related coronaviruses,
these articles did not specifically address in-depth the key issues
for applying computational intelligence to combat COVID-19.
Hence, it would be exhausting to filter and summarize those
studies conducted in the field of computational intelligence
from such a large number of articles. Such inconvenience has
hindered the development of effective computational intelligence technologies for fighting COVID-19. To fill this gap, this
survey focuses on categorizing and reviewing the current progress of computational intelligence for fighting this serious

Corresponding Author: Vincent S. Tseng (vtseng@cs.nctu.edu.tw).
© IEEE 2020. This article is free to access and
download, along with rights for full text
and data mining, re-use and analysis.



IEEE Computational Intelligence Magazine - November 2020

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