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

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, es...

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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
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id	my-uitm-ir.57086
record_format	uketd_dc
spelling	my-uitm-ir.570862022-03-21T08:40:08Z An assessment of the COVID-19 cases on workplace cluster using geospatial information: a case study in Selangor / Nur Farisa Zulkifli 2022-03-15 Zulkifli, Nur Farisa Geographic information systems Digital mapping 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. 2022-03 Thesis https://ir.uitm.edu.my/id/eprint/57086/ https://ir.uitm.edu.my/id/eprint/57086/1/57086.pdf text en public degree Universiti Teknologi Mara Perlis Faculty of Architecture, Planning and Surveying
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Geographic information systems Digital mapping
spellingShingle	Geographic information systems Digital mapping Zulkifli, Nur Farisa An assessment of the COVID-19 cases on workplace cluster using geospatial information: a case study in Selangor / Nur Farisa Zulkifli
description	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.
format	Thesis
qualification_level	Bachelor degree
author	Zulkifli, Nur Farisa
author_facet	Zulkifli, Nur Farisa
author_sort	Zulkifli, Nur Farisa
title	An assessment of the COVID-19 cases on workplace cluster using geospatial information: a case study in Selangor / Nur Farisa Zulkifli
title_short	An assessment of the COVID-19 cases on workplace cluster using geospatial information: a case study in Selangor / Nur Farisa Zulkifli
title_full	An assessment of the COVID-19 cases on workplace cluster using geospatial information: a case study in Selangor / Nur Farisa Zulkifli
title_fullStr	An assessment of the COVID-19 cases on workplace cluster using geospatial information: a case study in Selangor / Nur Farisa Zulkifli
title_full_unstemmed	An assessment of the COVID-19 cases on workplace cluster using geospatial information: a case study in Selangor / Nur Farisa Zulkifli
title_sort	assessment of the covid-19 cases on workplace cluster using geospatial information: a case study in selangor / nur farisa zulkifli
granting_institution	Universiti Teknologi Mara Perlis
granting_department	Faculty of Architecture, Planning and Surveying
publishDate	2022
url	https://ir.uitm.edu.my/id/eprint/57086/1/57086.pdf
_version_	1783734967280336896

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

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