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.
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