Evaluation of the spatial risk factors for high incidence of dengue fever and dengue hemorrhagic fever using GIS application
In Malaysia, the incidence of Dengue Fever (DF) and Dengue Hemorrhagic Fever (DHF) have risen dramatically in the last twenty years. With the use of Geographical Information System an explanation for the spread and control of these diseases can be obtained. This study aims to develop a spatial model...
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ukm-26192016-12-14T06:32:09Z http://journalarticle.ukm.my/2619/ Evaluation of the spatial risk factors for high incidence of dengue fever and dengue hemorrhagic fever using GIS application Aziz Shafie, In Malaysia, the incidence of Dengue Fever (DF) and Dengue Hemorrhagic Fever (DHF) have risen dramatically in the last twenty years. With the use of Geographical Information System an explanation for the spread and control of these diseases can be obtained. This study aims to develop a spatial modeling that can predict the risks for DF and DHF based on environmental factors such as physical surroundings, land use, rainfall, temperature and GIS application using logistic regression. A total of 16 variables were used in the process of spatial modeling development. At the significant level of 0.05, the results of logistic regression showed that only 10 out of 16 significant variables in the modeling process. The accuracy of the resulting model is 70.3%. A crucial feature of this study is a risk area map for incidence of DF and DHF in the study area. This study also highlights the application of spatial analysis in planning and implementing the process for the prevention and control activities of DF and DHF in Malaysia. Universiti Kebangsaan Malaysia 2011-08 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/2619/1/17_Aziz_Shafie.pdf Aziz Shafie, (2011) Evaluation of the spatial risk factors for high incidence of dengue fever and dengue hemorrhagic fever using GIS application. Sains Malaysiana, 40 (8). pp. 937-943. ISSN 0126-6039 http://www.ukm.my/jsm/ |
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Universiti Kebangasaan Malaysia |
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UKM Institutional Repository |
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Online Access |
language |
English |
description |
In Malaysia, the incidence of Dengue Fever (DF) and Dengue Hemorrhagic Fever (DHF) have risen dramatically in the last twenty years. With the use of Geographical Information System an explanation for the spread and control of these diseases can be obtained. This study aims to develop a spatial modeling that can predict the risks for DF and DHF based on environmental factors such as physical surroundings, land use, rainfall, temperature and GIS application using logistic regression. A total of 16 variables were used in the process of spatial modeling development. At the significant level of 0.05, the results of logistic regression showed that only 10 out of 16 significant variables in the modeling process. The accuracy of the resulting model is 70.3%. A crucial feature of this study is a risk area map for incidence of DF and DHF in the study area. This study also highlights the application of spatial analysis in planning and implementing the process for the prevention and control activities of DF and DHF in Malaysia. |
format |
Article |
author |
Aziz Shafie, |
spellingShingle |
Aziz Shafie, Evaluation of the spatial risk factors for high incidence of dengue fever and dengue hemorrhagic fever using GIS application |
author_facet |
Aziz Shafie, |
author_sort |
Aziz Shafie, |
title |
Evaluation of the spatial risk factors for high incidence of dengue fever and dengue hemorrhagic fever using GIS application |
title_short |
Evaluation of the spatial risk factors for high incidence of dengue fever and dengue hemorrhagic fever using GIS application |
title_full |
Evaluation of the spatial risk factors for high incidence of dengue fever and dengue hemorrhagic fever using GIS application |
title_fullStr |
Evaluation of the spatial risk factors for high incidence of dengue fever and dengue hemorrhagic fever using GIS application |
title_full_unstemmed |
Evaluation of the spatial risk factors for high incidence of dengue fever and dengue hemorrhagic fever using GIS application |
title_sort |
evaluation of the spatial risk factors for high incidence of dengue fever and dengue hemorrhagic fever using gis application |
publisher |
Universiti Kebangsaan Malaysia |
publishDate |
2011 |
url |
http://journalarticle.ukm.my/2619/ http://journalarticle.ukm.my/2619/ http://journalarticle.ukm.my/2619/1/17_Aziz_Shafie.pdf |
first_indexed |
2023-09-18T19:36:34Z |
last_indexed |
2023-09-18T19:36:34Z |
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1777405310389977088 |