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 disease. In this survey, we aim to assemble and summarize the latest developments and insights in transforming computational intelligence approaches, such as machine learning, evolutionary computation, soft computing, and big data analytics, into practical applications for fighting COVID-19. We also explore some potential research issues on computational intelligence for defeating the pandemic.

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对抗 COVID-19 的计算智能技术：一项调查

计算智能已被用于健康科学和流行病学领域的许多应用。特别是，由于 COVID-19 的突然和大规模传播，全球许多研究人员投入大量精力开发用于抗击大流行的计算智能方法和系统。尽管已经有超过 200,000 篇关于 COVID-19、SARS-CoV-2 和其他相关冠状病毒的学术文章，但这些文章并没有具体深入探讨应用计算智能对抗 COVID-19 的关键问题。因此，从如此大量的文章中过滤和总结在计算智能领域进行的研究将是令人筋疲力尽的。这种不便阻碍了用于对抗 COVID-19 的有效计算智能技术的开发。为了填补这一空白，本次调查的重点是对计算智能在对抗这种严重疾病方面的当前进展进行分类和审查。在本次调查中，我们旨在汇总和总结将计算智能方法（例如机器学习、进化计算、软计算和大数据分析）转化为抗击 COVID-19 的实际应用的最新进展和见解。我们还探讨了一些有关计算智能以战胜大流行的潜在研究问题。我们旨在汇总和总结将计算智能方法（例如机器学习、进化计算、软计算和大数据分析）转化为对抗 COVID-19 的实际应用的最新发展和见解。我们还探讨了一些有关计算智能以战胜大流行的潜在研究问题。我们旨在汇总和总结将计算智能方法（例如机器学习、进化计算、软计算和大数据分析）转化为对抗 COVID-19 的实际应用的最新发展和见解。我们还探讨了一些有关计算智能以战胜大流行的潜在研究问题。