**4. Conclusion**

The current ongoing COVID-19 pandemic has become a global health emergency due to the continued growth of the high rate of infected patients globally. As of the time of writing this, there are approved therapeutic drugs for the curing of COVID-19 disease. However, the drugs were not sufficient globally, including in the USA. There is still a need for the early detection, diagnosis, and treatment of COVID-19 patients globally. The use of non-pharmaceutical methods such as quarantine, isolation of suspected patients is the most effective method for preventing the spread of COVID-19 before the approval of the therapeutic drugs for the curing of COVID-19 disease. Nonetheless, computational intelligence techniques are also served as an alternative tool for preventing the spread of the disease as well as monitoring the progression and severity of the disease in patients. The power of computational intelligence approaches has proven a game-changer in the fight against the spread of the COVID-19 pandemic. This paper presented how computational intelligence methods were utilized to fight against COVID-19 or containment of the COVID-19 pandemic. The paper demonstrates how computational intelligence methods were used in detection and diagnosis, prediction, contact tracing, treatment, recovery, drug discovery, and surveillance. We have seen how several studies leveraged computational intelligence methods, from a different perspective for containment of the COVID-19 pandemic. However, the clinical and non-clinical application of CI techniques in the containment of COVID-19 is promising, and additional extensive research is required. However, this study points out promising CI techniques utilized as an adjunct along with the current methods used in containments of COVID-19. It is imagined that this study will give CI researchers and the wider community an outline of the current status of CI applications and motivate CI researchers in harnessing CI technique possibilities in the battle against COVID-19.
