Assessing the prevalence of hand, foot and mouth disease (HFMD) using geospatial density and distribution techniques

The prevalence of hand, foot and mouth disease (HFMD) cases in Malaysia is now rising as reported by several sources such as the mass media and Internet. In this study, the prevalence of HFMD in Johor is comprehensively studied using geospatial density and distribution techniques to assess the preva...

Full description

Saved in:

Bibliographic Details
Main Author:	Hasan, Nur Najihah
Format:	Thesis
Language:	English
Published:	2017
Subjects:	G70.212-70.215 Geographic information system
Online Access:	http://eprints.utm.my/id/eprint/78873/1/NurNajihahHasanMFGHT2017.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utm-ep.78873
record_format	uketd_dc
spelling	my-utm-ep.788732018-09-17T07:15:49Z Assessing the prevalence of hand, foot and mouth disease (HFMD) using geospatial density and distribution techniques 2017 Hasan, Nur Najihah G70.212-70.215 Geographic information system The prevalence of hand, foot and mouth disease (HFMD) cases in Malaysia is now rising as reported by several sources such as the mass media and Internet. In this study, the prevalence of HFMD in Johor is comprehensively studied using geospatial density and distribution techniques to assess the prevalence of HFMD in Johor. Three objectives were designed for this study. The first objective was to conduct a needs assessment for identifying the requirement of a geospatial database of HFMD prevalence at Johor. The second objective aimed to develop a geospatial database for Johor HFMD cases. The last, which is the third objective, was to analyze the prevalence of HFMD in Johor via geospatial density and distribution techniques using open source software. This study is significant in order to provide the information of HFMD prevalence to the Department of Health Johor. The result indicates that the disease can occur throughout the year, however it reaches peak in February and March, of which is during the dry season. Concurrently, the distribution of HFMD cases in Johor exhibited a clustered pattern., which most mean centres and standard deviation ellipses occurred at similar areas. The direction of the standard deviation ellipses also oriented towards the northwest of Johor. Furthermore, this study identified the most common areas for the prevalence of HFMD cases in Johor, which is Johor Bahru. As a conclusion, this study achieves the entire objectives. Therefore, this study is expected to assist the Department of Health Johor in order to fulfill their needs. 2017 Thesis http://eprints.utm.my/id/eprint/78873/ http://eprints.utm.my/id/eprint/78873/1/NurNajihahHasanMFGHT2017.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:106491 masters Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate Faculty of Geoinformation and Real Estate
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	G70.212-70.215 Geographic information system
spellingShingle	G70.212-70.215 Geographic information system Hasan, Nur Najihah Assessing the prevalence of hand, foot and mouth disease (HFMD) using geospatial density and distribution techniques
description	The prevalence of hand, foot and mouth disease (HFMD) cases in Malaysia is now rising as reported by several sources such as the mass media and Internet. In this study, the prevalence of HFMD in Johor is comprehensively studied using geospatial density and distribution techniques to assess the prevalence of HFMD in Johor. Three objectives were designed for this study. The first objective was to conduct a needs assessment for identifying the requirement of a geospatial database of HFMD prevalence at Johor. The second objective aimed to develop a geospatial database for Johor HFMD cases. The last, which is the third objective, was to analyze the prevalence of HFMD in Johor via geospatial density and distribution techniques using open source software. This study is significant in order to provide the information of HFMD prevalence to the Department of Health Johor. The result indicates that the disease can occur throughout the year, however it reaches peak in February and March, of which is during the dry season. Concurrently, the distribution of HFMD cases in Johor exhibited a clustered pattern., which most mean centres and standard deviation ellipses occurred at similar areas. The direction of the standard deviation ellipses also oriented towards the northwest of Johor. Furthermore, this study identified the most common areas for the prevalence of HFMD cases in Johor, which is Johor Bahru. As a conclusion, this study achieves the entire objectives. Therefore, this study is expected to assist the Department of Health Johor in order to fulfill their needs.
format	Thesis
qualification_level	Master's degree
author	Hasan, Nur Najihah
author_facet	Hasan, Nur Najihah
author_sort	Hasan, Nur Najihah
title	Assessing the prevalence of hand, foot and mouth disease (HFMD) using geospatial density and distribution techniques
title_short	Assessing the prevalence of hand, foot and mouth disease (HFMD) using geospatial density and distribution techniques
title_full	Assessing the prevalence of hand, foot and mouth disease (HFMD) using geospatial density and distribution techniques
title_fullStr	Assessing the prevalence of hand, foot and mouth disease (HFMD) using geospatial density and distribution techniques
title_full_unstemmed	Assessing the prevalence of hand, foot and mouth disease (HFMD) using geospatial density and distribution techniques
title_sort	assessing the prevalence of hand, foot and mouth disease (hfmd) using geospatial density and distribution techniques
granting_institution	Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate
granting_department	Faculty of Geoinformation and Real Estate
publishDate	2017
url	http://eprints.utm.my/id/eprint/78873/1/NurNajihahHasanMFGHT2017.pdf
_version_	1747818092352765952

Assessing the prevalence of hand, foot and mouth disease (HFMD) using geospatial density and distribution techniques

Similar Items