Dengue risk prediction in illegal dumpsite of housing area by using geospatial analysis

Malaysia suffered from several dengue epidemics with a highly contagious health threat in the last few decades. Analyses of the incidence number of dengue cases and the illegal dumpsite by using the Geographical Information System, GIS, standard deviational ellipse, SDE, produces a scientific-based...

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主要作者: Zen, Irina Safitri
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語言:English
出版: 2019
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spelling my.iium.irep.754462019-11-20T02:41:33Z http://irep.iium.edu.my/75446/ Dengue risk prediction in illegal dumpsite of housing area by using geospatial analysis Zen, Irina Safitri G Geography (General) GE Environmental Sciences JS Local government Municipal government Malaysia suffered from several dengue epidemics with a highly contagious health threat in the last few decades. Analyses of the incidence number of dengue cases and the illegal dumpsite by using the Geographical Information System, GIS, standard deviational ellipse, SDE, produces a scientific-based evidence of dengue map for the urbanized area of Iskandar Puteri, Johor State, Malaysia. A high incidence of dengue cases in the illegal dumpsite area was recognized in radius 200 to 1000 meter with the trend towards the east and west of the city with standard distance (STD) value 0.03. It was identified as a high spot area. It was noteworthy that illegal dumpsite has potential to be a predictive tool for dengue risk to prevent the outbreak. Furthermore, the study recognized the sites i.e. pedestrian walkway, roadside, abundant land and riverside as a spotted illegal dumpsite. Nevertheless, an increment about 40 percent out of the total cost to manage illegal dumpsite from 2011 to 2016 is showing the urgency in tackling this problem comprehensively. Close monitoring system on the sub- contractor of waste disposal collection works and having concentrated effort by involving the relevant government agencies are among crucial issues need to be tackled to solve dengue problem related with illegal dumpsite. 2019-08-04 Article PeerReviewed application/pdf en cc_by http://irep.iium.edu.my/75446/1/DengueRiskPrediction.pdf Zen, Irina Safitri (2019) Dengue risk prediction in illegal dumpsite of housing area by using geospatial analysis. Journal of architecture, planning & construction management, 9 (1). pp. 67-80. ISSN 1823-4208 E-ISSN 2232-1500 https://journals.iium.edu.my/kaed/index.php/japcm
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic G Geography (General)
GE Environmental Sciences
JS Local government Municipal government
spellingShingle G Geography (General)
GE Environmental Sciences
JS Local government Municipal government
Zen, Irina Safitri
Dengue risk prediction in illegal dumpsite of housing area by using geospatial analysis
description Malaysia suffered from several dengue epidemics with a highly contagious health threat in the last few decades. Analyses of the incidence number of dengue cases and the illegal dumpsite by using the Geographical Information System, GIS, standard deviational ellipse, SDE, produces a scientific-based evidence of dengue map for the urbanized area of Iskandar Puteri, Johor State, Malaysia. A high incidence of dengue cases in the illegal dumpsite area was recognized in radius 200 to 1000 meter with the trend towards the east and west of the city with standard distance (STD) value 0.03. It was identified as a high spot area. It was noteworthy that illegal dumpsite has potential to be a predictive tool for dengue risk to prevent the outbreak. Furthermore, the study recognized the sites i.e. pedestrian walkway, roadside, abundant land and riverside as a spotted illegal dumpsite. Nevertheless, an increment about 40 percent out of the total cost to manage illegal dumpsite from 2011 to 2016 is showing the urgency in tackling this problem comprehensively. Close monitoring system on the sub- contractor of waste disposal collection works and having concentrated effort by involving the relevant government agencies are among crucial issues need to be tackled to solve dengue problem related with illegal dumpsite.
format Article
author Zen, Irina Safitri
author_facet Zen, Irina Safitri
author_sort Zen, Irina Safitri
title Dengue risk prediction in illegal dumpsite of housing area by using geospatial analysis
title_short Dengue risk prediction in illegal dumpsite of housing area by using geospatial analysis
title_full Dengue risk prediction in illegal dumpsite of housing area by using geospatial analysis
title_fullStr Dengue risk prediction in illegal dumpsite of housing area by using geospatial analysis
title_full_unstemmed Dengue risk prediction in illegal dumpsite of housing area by using geospatial analysis
title_sort dengue risk prediction in illegal dumpsite of housing area by using geospatial analysis
publishDate 2019
url http://irep.iium.edu.my/75446/1/DengueRiskPrediction.pdf
http://irep.iium.edu.my/75446/
https://journals.iium.edu.my/kaed/index.php/japcm
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