Animation mapping on corona virus (COVID-19) disease cases in Malaysia / Andri Putra Malindo Nurdiwikar

Recognizing the spatial distribution of the COVID-19 epidemic is important for forecast local outbreak and designing policies on public health during COVID-19'searly stages. The issue here is insufficient research on geographical modelling ofCOVID-19 disease. Public health authorities rely on c...

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Main Author: Malindo Nurdiwikar, Andri Putra
Format: Thesis
Language:English
Published: 2021
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/43770/1/43770.pdf
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spelling my-uitm-ir.437702021-03-19T09:11:33Z Animation mapping on corona virus (COVID-19) disease cases in Malaysia / Andri Putra Malindo Nurdiwikar 2021-03-19 Malindo Nurdiwikar, Andri Putra Digital mapping RB Pathology Recognizing the spatial distribution of the COVID-19 epidemic is important for forecast local outbreak and designing policies on public health during COVID-19'searly stages. The issue here is insufficient research on geographical modelling ofCOVID-19 disease. Public health authorities rely on conventional approaches to track and manage the spread of infectious diseases. Therefore, this study aimed to develop spatial data infrastructure for COVID-19 local distribution in Malaysia, analyze the pattern of COVID-19 diseases based on spatial distribution of the cases, produce an animated map of COVID-19 disease cases for Malaysia. Geo-visualization techniques are used in this study which is use the animation mapping method to support analyse spatial temporal data to determine the hotspot area for the disease cases. Animated maps play an important part in the spatial temporal exchange of information. To ensure the data is well organized in this study, the Spatial Data Infrastructure Framework(SDI) was implemented. Through understanding the movement patterns of this disease, it is beneficial to help the Ministry of Health Malaysia (MOH). Therefore some actions can be planned and will soon be taken by the MOH to overcome the problems that cause this disease. Actions that can be taken is to enforce restrictions on the movement of people in or out of areas with high cases or hotspots. 2021-03 Thesis https://ir.uitm.edu.my/id/eprint/43770/ https://ir.uitm.edu.my/id/eprint/43770/1/43770.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 Digital mapping
RB Pathology
spellingShingle Digital mapping
RB Pathology
Malindo Nurdiwikar, Andri Putra
Animation mapping on corona virus (COVID-19) disease cases in Malaysia / Andri Putra Malindo Nurdiwikar
description Recognizing the spatial distribution of the COVID-19 epidemic is important for forecast local outbreak and designing policies on public health during COVID-19'searly stages. The issue here is insufficient research on geographical modelling ofCOVID-19 disease. Public health authorities rely on conventional approaches to track and manage the spread of infectious diseases. Therefore, this study aimed to develop spatial data infrastructure for COVID-19 local distribution in Malaysia, analyze the pattern of COVID-19 diseases based on spatial distribution of the cases, produce an animated map of COVID-19 disease cases for Malaysia. Geo-visualization techniques are used in this study which is use the animation mapping method to support analyse spatial temporal data to determine the hotspot area for the disease cases. Animated maps play an important part in the spatial temporal exchange of information. To ensure the data is well organized in this study, the Spatial Data Infrastructure Framework(SDI) was implemented. Through understanding the movement patterns of this disease, it is beneficial to help the Ministry of Health Malaysia (MOH). Therefore some actions can be planned and will soon be taken by the MOH to overcome the problems that cause this disease. Actions that can be taken is to enforce restrictions on the movement of people in or out of areas with high cases or hotspots.
format Thesis
qualification_level Bachelor degree
author Malindo Nurdiwikar, Andri Putra
author_facet Malindo Nurdiwikar, Andri Putra
author_sort Malindo Nurdiwikar, Andri Putra
title Animation mapping on corona virus (COVID-19) disease cases in Malaysia / Andri Putra Malindo Nurdiwikar
title_short Animation mapping on corona virus (COVID-19) disease cases in Malaysia / Andri Putra Malindo Nurdiwikar
title_full Animation mapping on corona virus (COVID-19) disease cases in Malaysia / Andri Putra Malindo Nurdiwikar
title_fullStr Animation mapping on corona virus (COVID-19) disease cases in Malaysia / Andri Putra Malindo Nurdiwikar
title_full_unstemmed Animation mapping on corona virus (COVID-19) disease cases in Malaysia / Andri Putra Malindo Nurdiwikar
title_sort animation mapping on corona virus (covid-19) disease cases in malaysia / andri putra malindo nurdiwikar
granting_institution Universiti Teknologi Mara Perlis
granting_department Faculty of Architecture, Planning and Surveying
publishDate 2021
url https://ir.uitm.edu.my/id/eprint/43770/1/43770.pdf
_version_ 1783734703323348992