Understanding COVID 19 cluster infection is vital as it evaluates the current situation and serves as the basis of further action in control and prevention strategies. We aim to describe the characteristics of COVID-19 clusters in Malaysia based on location, types, positive percentage, and case fatality ratio (CFR). We used open-source data of COVID-19 clusters from the GitHub Ministry of Health Malaysia website. The data were downloaded, cleaned, and analysed using SPSS version 27. The analysis includes data of clusters that have been declared as ended from 1st March 2020 to 10th August 2021. A total of 3,495 clusters of COVID19 were reported in Malaysia involved 317,935 confirmed cases, representing 24.4% of total cases in the country within the same period. The majority of the clusters occurred in a single state (88.1%) compared to multiple states' involvements. There were increasing trends of reporting clusters and more involvement in workplace and community clusters. Workplace clusters represent the highest percentage of all clusters (54.1%). The positive percentage of COVID-19 testing was highest with a detention centre cluster (32.9%); meanwhile, CFR was highest in the cluster of high-risk populations. Strategic action in controlling and preventing COVID-19 has to be focused on high-risk areas such as the workplace. More COVID-19 screening should be done in clusters involving high-risk populations and institutions such as detention centres.
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