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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
https://ir.uitm.edu.my/id/eprint/57086/
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spelling my.uitm.ir.570862022-03-21T08:40:08Z https://ir.uitm.edu.my/id/eprint/57086/ An assessment of the COVID-19 cases on workplace cluster using geospatial information: a case study in Selangor / Nur Farisa Zulkifli 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. 2022-03-15 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/57086/1/57086.pdf ID57086 Zulkifli, Nur Farisa (2022) An assessment of the COVID-19 cases on workplace cluster using geospatial information: a case study in Selangor / Nur Farisa Zulkifli. Degree thesis, thesis, Universiti Teknologi Mara Perlis.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
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
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
publishDate 2022
url https://ir.uitm.edu.my/id/eprint/57086/1/57086.pdf
https://ir.uitm.edu.my/id/eprint/57086/
_version_ 1728054862894071808
score 13.211869

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