The evaluation of spatial risk factors for leptospirosis outbreak using GIS application / Ahmad Afiq Hassan and Khairul Nizam Tahar

The evaluation of spatial risk factors for leptospirosis outbreak using GIS application / Ahmad Afiq Hassan and Khairul Nizam Tahar

The objective of this research is to determine the factor that increase incidence of leptospirosis in Petaling district based on leptospirosis risk map (LRM). Data involves in the research is leptospirosis cases data from Selangor State Health Department The factors used to determine leptospirosis...

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Bibliographic Details
Main Authors: Hassan, Ahmad Afiq, Tahar, Khairul Nizam
Format: Article
Language:English
Published: Faculty of Architecture, Planning & Surveying and UiTM Press 2014
Subjects:
Malaysia
Regression analysis. Correlation analysis. Spatial analysis (Statistics)
Leptospirosis
Online Access:http://ir.uitm.edu.my/id/eprint/13622/
http://ir.uitm.edu.my/id/eprint/13622/
http://ir.uitm.edu.my/id/eprint/13622/1/AJ_AHMAD%20AFIQ%20HASSAN%20BEJ%2014%201.pdf
id uitm-13622
recordtype eprints
spelling uitm-136222017-02-21T03:57:41Z http://ir.uitm.edu.my/id/eprint/13622/ The evaluation of spatial risk factors for leptospirosis outbreak using GIS application / Ahmad Afiq Hassan and Khairul Nizam Tahar Hassan, Ahmad Afiq Tahar, Khairul Nizam Malaysia Regression analysis. Correlation analysis. Spatial analysis (Statistics) Leptospirosis The objective of this research is to determine the factor that increase incidence of leptospirosis in Petaling district based on leptospirosis risk map (LRM). Data involves in the research is leptospirosis cases data from Selangor State Health Department The factors used to determine leptospirosis risk area namely land use, population and temperature data. The determination of leptospirosis incidence is made by produce leptospirosis distribution map (LDM). The LDM is produce using overlay method which is intersecting method. The identification of factors that increase the leptospirosis incidence is made by produce a Leptospirosis risk map (LRM). A LRM is produce using Getis-Ord G/* technique. The determination of risk area is based on several factors including land use and population factors. The used of GIS application to evaluate the health problem is one of the suitable methods compared with conventional method that made analysis based on the graphs and tables only. GIS has advantage such as can facilitate a disease data that can be accessed quickly even in large numbers, providing a dynamic system analysis and has a good technique to display, monitors and manage disease outbreak well. Faculty of Architecture, Planning & Surveying and UiTM Press 2014 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/13622/1/AJ_AHMAD%20AFIQ%20HASSAN%20BEJ%2014%201.pdf Hassan, Ahmad Afiq and Tahar, Khairul Nizam (2014) The evaluation of spatial risk factors for leptospirosis outbreak using GIS application / Ahmad Afiq Hassan and Khairul Nizam Tahar. Built Environment Journal (BEJ), 11 (2). pp. 63-75. ISSN 1675-5022 https://bej.uitm.edu.my/
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
topic Malaysia
Regression analysis. Correlation analysis. Spatial analysis (Statistics)
Leptospirosis
spellingShingle Malaysia
Regression analysis. Correlation analysis. Spatial analysis (Statistics)
Leptospirosis
Hassan, Ahmad Afiq
Tahar, Khairul Nizam
The evaluation of spatial risk factors for leptospirosis outbreak using GIS application / Ahmad Afiq Hassan and Khairul Nizam Tahar
description The objective of this research is to determine the factor that increase incidence of leptospirosis in Petaling district based on leptospirosis risk map (LRM). Data involves in the research is leptospirosis cases data from Selangor State Health Department The factors used to determine leptospirosis risk area namely land use, population and temperature data. The determination of leptospirosis incidence is made by produce leptospirosis distribution map (LDM). The LDM is produce using overlay method which is intersecting method. The identification of factors that increase the leptospirosis incidence is made by produce a Leptospirosis risk map (LRM). A LRM is produce using Getis-Ord G/* technique. The determination of risk area is based on several factors including land use and population factors. The used of GIS application to evaluate the health problem is one of the suitable methods compared with conventional method that made analysis based on the graphs and tables only. GIS has advantage such as can facilitate a disease data that can be accessed quickly even in large numbers, providing a dynamic system analysis and has a good technique to display, monitors and manage disease outbreak well.
format Article
author Hassan, Ahmad Afiq
Tahar, Khairul Nizam
author_facet Hassan, Ahmad Afiq
Tahar, Khairul Nizam
author_sort Hassan, Ahmad Afiq
title The evaluation of spatial risk factors for leptospirosis outbreak using GIS application / Ahmad Afiq Hassan and Khairul Nizam Tahar
title_short The evaluation of spatial risk factors for leptospirosis outbreak using GIS application / Ahmad Afiq Hassan and Khairul Nizam Tahar
title_full The evaluation of spatial risk factors for leptospirosis outbreak using GIS application / Ahmad Afiq Hassan and Khairul Nizam Tahar
title_fullStr The evaluation of spatial risk factors for leptospirosis outbreak using GIS application / Ahmad Afiq Hassan and Khairul Nizam Tahar
title_full_unstemmed The evaluation of spatial risk factors for leptospirosis outbreak using GIS application / Ahmad Afiq Hassan and Khairul Nizam Tahar
title_sort evaluation of spatial risk factors for leptospirosis outbreak using gis application / ahmad afiq hassan and khairul nizam tahar
publisher Faculty of Architecture, Planning & Surveying and UiTM Press
publishDate 2014
url http://ir.uitm.edu.my/id/eprint/13622/
http://ir.uitm.edu.my/id/eprint/13622/
http://ir.uitm.edu.my/id/eprint/13622/1/AJ_AHMAD%20AFIQ%20HASSAN%20BEJ%2014%201.pdf
first_indexed 2023-09-18T22:50:06Z
last_indexed 2023-09-18T22:50:06Z
_version_ 1777417486579269632

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