An assessment of the COVID-19 cases on workplace cluster using geospatial information: a case study in Selangor / Nur Farisa Zulkifli

• Main Author: Zulkifli, Nur Farisa
• Format: Thesis
• Language: English
• Published: 2022
• Subjects: Geographic information systems; Digital mapping
• Online Access: https://ir.uitm.edu.my/id/eprint/57086/1/57086.pdf; https://ir.uitm.edu.my/id/eprint/57086/

COVID-19 cases recorded a high number in the world nowadays. Malaysia faced an increase in the number of workplaces cluster that were the highest contributor to theCOVID-19 cases after many companies conducted mass testing on their employees. Therefore, it is crucial to monitor the highest cases, especially in the Selangor area to maintain the high level of protection of the workplaces cluster. This study aims to assess the number of cases involved in workplaces cluster using geospatial information. The objective is to develop an animation map of COVID-19 cases among the workplaces cluster in Selangor and to analyze the COVID-19 cases pattern based on the cluster of workplaces in Selangor using an animation map. The data use ofCOVID-19 cases to the workplaces cluster are free accessed online by the Crisis Preparedness and Response Centre, Ministry of Health Malaysia (MOH). Thus, the data are manually inserted and processed in ArcGIS Pro. The geo locating method will be used in animation mapping that will help assess the number of workplaces cluster. The use of geospatial technology can be supportive to detect and identify potential hotspots requiring a timely response for the early detection of COVID-19 cases against workplaces cluster. Therefore, the map information will also help the MOH access health epidemic COVID-19 and apply elsewhere.