| Summary: | COVID-19 cases recorded a high number in the world nowadays. Malaysia faced an increasing number of workplace clusters, which contributed to the highest number of COVID-19 cases after many companies conducted mass testing. Therefore, it is crucial to monitor the highest cases, especially in the Selangor area to maintain a high level of protection of the workplace cluster. The objective is to develop an animation map of COVID-19 cases among the workplaces cluster in Selangor and to analyse the COVID-19 case pattern based on the cluster of workplaces in Selangor using an animation map. The cluster data is freely accessed online by the Crisis Preparedness and Response Centre, Ministry of Health Malaysia (MOH), and processed using ArcGIS Pro. The geolocating method using animation mapping aims to help assess workplace clusters. The map represents COVID-19 of MCO2 as the highest number of cases contributed in Petaling and Hulu Langat districts, with a total of 1356 cases. Meanwhile, the Klang district had the highest number of cases during MCO3. Therefore, the use of geospatial technology in this study is supportive of detecting and identifying potential hotspots requiring a timely response for the early detection of COVID-19 cases against workplace clusters. © 2023 UMT Press. All Rights Reserved.
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