The early identification of COVID-19 is critical to prevent the disease from spreading at the community level. Cloud computing allows healthcare providers to enhance patient care, exchange information more quickly, increase operational efficiency, and save expenses. Thus, this research investigates cloud computing applications in the context of an outbreak. We gathered, summarized, and evaluated scientific papers on cloud computing throughout an outbreak that were released between 2020 and April 2022 for this Systematic Literature Review (SLR). We employed a pre-defined review methodology to examine commonly known electronic datasets. Keywords were used to look for all publications connected to the subject. 18 papers were chosen for this SLR after thoroughly following the research selection method. This review paper offers current state-of-the-art outcomes and methodologies on cloud computing throughout an epidemic, outlining research gaps and providing directions for future research. The results showed that cloud computing plays a crucial role in addressing and relieving side effects in vital situations such as the coronavirus epidemic. We tried to provide a comprehensive study, but non-English articles were not included in this study, so future studies can provide a more comprehensive study by considering all articles in Chinese, Japanese, etc.

COVID-19 的早期识别对于防止该疾病在社区层面传播至关重要。云计算使医疗保健提供商能够加强患者护理、更快地交换信息、提高运营效率并节省开支。因此，本研究调查了爆发背景下的云计算应用程序。我们收集、总结和评估了在 2020 年至 2022 年 4 月期间发布的整个爆发期间有关云计算的科学论文，用于本系统文献综述 (SLR)。我们采用了预定义的审查方法来检查众所周知的电子数据集。关键字用于查找与该主题相关的所有出版物。严格遵循研究选择方法后，本SLR选择了18篇论文。这篇评论文章提供了整个流行病期间云计算的当前最先进成果和方法，概述了研究差距并为未来研究提供了方向。结果表明，云计算在解决和减轻冠状病毒流行等重要情况下的副作用方面发挥着至关重要的作用。我们试图提供一个全面的研究，但非英文文章不包括在本研究中，因此未来的研究可以通过考虑所有中文、日文等的文章来提供更全面的研究。