Pattern analysis of depression using geographic information system [GIS] : a case study of Hospital Sultanah Bahiyah, Kedah / Nur Iwani Zahari

Depression is a common chronic disorder that affects individual functioning and is related with increasing in suicide rates. A person that suffered depression will show a depressed mood, loss of interest in everything they used to do, low self-worth and lose focus in their everyday life. Geographic...

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Main Author:	Zahari, Nur Iwani
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Geographic information systems
Online Access:	https://ir.uitm.edu.my/id/eprint/36172/1/36172.docx
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id	my-uitm-ir.36172
record_format	uketd_dc
spelling	my-uitm-ir.361722020-11-10T08:24:41Z Pattern analysis of depression using geographic information system [GIS] : a case study of Hospital Sultanah Bahiyah, Kedah / Nur Iwani Zahari 2020 Zahari, Nur Iwani Geographic information systems Mental health. Mental illness prevention Depression is a common chronic disorder that affects individual functioning and is related with increasing in suicide rates. A person that suffered depression will show a depressed mood, loss of interest in everything they used to do, low self-worth and lose focus in their everyday life. Geographic Information System (GIS) is a tool for mapping, capturing, collecting, examining, integrating, controlling, analysing and display information which are spatially referenced. The aim of this study is to investigate the trend of depression cases using descriptive analysis and to analyses the pattern of depression using spatial statistics. The secondary data was collected from Hospital Sultanah Bahiyah, Kedah. This data will be mapped in ArcGIS application. Spatial autocorrelation or Moran’s I is a tool for analyzing patterns either it is dispersed, random or clustered. Hotspot analysis used for mapping clusters. The finding of this study shows most of the patterns obtained does not appear to be significantly different than random with low z-score and high p-value which is p>0.05. Thus, null hypothesis cannot be rejected. For hotspot detection, Alor Setar area shows hot spot of depression cases in Kedah from year 2014 until 2017 with standard deviation of >2.58 with 99% confidence level. The cold spot detected in Yan area with standard deviation of -1.96 – -1.65 shows 90% confidence level. This research will help the state government to raise the awareness on mental health issues in Kedah and increase the facilities such as psychiatric centre in hot spot region. 2020 Thesis https://ir.uitm.edu.my/id/eprint/36172/ https://ir.uitm.edu.my/id/eprint/36172/1/36172.docx text en public degree Universiti Teknologi Mara Perlis Faculty of Applied Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Geographic information systems Geographic information systems
spellingShingle	Geographic information systems Geographic information systems Zahari, Nur Iwani Pattern analysis of depression using geographic information system [GIS] : a case study of Hospital Sultanah Bahiyah, Kedah / Nur Iwani Zahari
description	Depression is a common chronic disorder that affects individual functioning and is related with increasing in suicide rates. A person that suffered depression will show a depressed mood, loss of interest in everything they used to do, low self-worth and lose focus in their everyday life. Geographic Information System (GIS) is a tool for mapping, capturing, collecting, examining, integrating, controlling, analysing and display information which are spatially referenced. The aim of this study is to investigate the trend of depression cases using descriptive analysis and to analyses the pattern of depression using spatial statistics. The secondary data was collected from Hospital Sultanah Bahiyah, Kedah. This data will be mapped in ArcGIS application. Spatial autocorrelation or Moran’s I is a tool for analyzing patterns either it is dispersed, random or clustered. Hotspot analysis used for mapping clusters. The finding of this study shows most of the patterns obtained does not appear to be significantly different than random with low z-score and high p-value which is p>0.05. Thus, null hypothesis cannot be rejected. For hotspot detection, Alor Setar area shows hot spot of depression cases in Kedah from year 2014 until 2017 with standard deviation of >2.58 with 99% confidence level. The cold spot detected in Yan area with standard deviation of -1.96 – -1.65 shows 90% confidence level. This research will help the state government to raise the awareness on mental health issues in Kedah and increase the facilities such as psychiatric centre in hot spot region.
format	Thesis
qualification_level	Bachelor degree
author	Zahari, Nur Iwani
author_facet	Zahari, Nur Iwani
author_sort	Zahari, Nur Iwani
title	Pattern analysis of depression using geographic information system [GIS] : a case study of Hospital Sultanah Bahiyah, Kedah / Nur Iwani Zahari
title_short	Pattern analysis of depression using geographic information system [GIS] : a case study of Hospital Sultanah Bahiyah, Kedah / Nur Iwani Zahari
title_full	Pattern analysis of depression using geographic information system [GIS] : a case study of Hospital Sultanah Bahiyah, Kedah / Nur Iwani Zahari
title_fullStr	Pattern analysis of depression using geographic information system [GIS] : a case study of Hospital Sultanah Bahiyah, Kedah / Nur Iwani Zahari
title_full_unstemmed	Pattern analysis of depression using geographic information system [GIS] : a case study of Hospital Sultanah Bahiyah, Kedah / Nur Iwani Zahari
title_sort	pattern analysis of depression using geographic information system [gis] : a case study of hospital sultanah bahiyah, kedah / nur iwani zahari
granting_institution	Universiti Teknologi Mara Perlis
granting_department	Faculty of Applied Sciences
publishDate	2020
url	https://ir.uitm.edu.my/id/eprint/36172/1/36172.docx
_version_	1783734325218377728

Pattern analysis of depression using geographic information system [GIS] : a case study of Hospital Sultanah Bahiyah, Kedah / Nur Iwani Zahari

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