Effect of vegetation on dengue fever / Norain Najihah Nor Azmy
Dengue fever is a major vector-borne disease in Malaysia. Dengue fever is the most common mosquito-transmitted disease, causes to millions illnesses and death each year. This is because the mosquito vector sensitive to environmental conditions such as temperature, vegetation, climate and humidity. T...
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my-uitm-ir.212082018-08-15T01:03:38Z Effect of vegetation on dengue fever / Norain Najihah Nor Azmy 2018-08-14 Nor Azmy, Norain Najihah Dengue Remote sensing Dengue fever is a major vector-borne disease in Malaysia. Dengue fever is the most common mosquito-transmitted disease, causes to millions illnesses and death each year. This is because the mosquito vector sensitive to environmental conditions such as temperature, vegetation, climate and humidity. The aim of this study is to determine the effect of vegetation on dengue fever cases at Kuala Lumpur by using NDVI of Landsat 8 image. The 2014 dengue data obtained from the data.gov website and vegetation data extract from Landsat 8 image were analysed using remote sensing to show the correlation of dengue in each Parliament in Kuala Lumpur. Linear regression is performed to determine the relationship between vegetation and dengue fever cases. The vegetation is represented by NDVI which is generated from Landsat image and extracted based on the location of dengue cases. Using the dengue cases year 2014 and NDVI that was extracted, the correlation will perform and determination of relationship between vegetation and dengue will identify. It is found that vegetation do not affect towards increasing dengue cases in 2014. As conclusion, vegetation is not the major factor that caused dengue cases increase rapidly. 2018-08 Thesis https://ir.uitm.edu.my/id/eprint/21208/ https://ir.uitm.edu.my/id/eprint/21208/1/TD_NORAIN%20NAJIHAH%20NOR%20AZMY%20AP_R%2018_5.pdf text en public degree Universiti Teknologi Mara Perlis Faculty of Architecture, Planning and Surveying |
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English |
topic |
Dengue Remote sensing |
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Dengue Remote sensing Nor Azmy, Norain Najihah Effect of vegetation on dengue fever / Norain Najihah Nor Azmy |
description |
Dengue fever is a major vector-borne disease in Malaysia. Dengue fever is the most common mosquito-transmitted disease, causes to millions illnesses and death each year. This is because the mosquito vector sensitive to environmental conditions such as temperature, vegetation, climate and humidity. The aim of this study is to determine the effect of vegetation on dengue fever cases at Kuala Lumpur by using NDVI of Landsat 8 image. The 2014 dengue data obtained from the data.gov website and vegetation data extract from Landsat 8 image were analysed using remote sensing to show the correlation of dengue in each Parliament in Kuala Lumpur. Linear regression is performed to determine the relationship between vegetation and dengue fever cases. The vegetation is represented by NDVI which is generated from Landsat image and extracted based on the location of dengue cases. Using the dengue cases year 2014 and NDVI that was extracted, the correlation will perform and determination of relationship between vegetation and dengue will identify. It is found that vegetation do not affect towards increasing dengue cases in 2014. As conclusion, vegetation is not the major factor that caused dengue cases increase rapidly. |
format |
Thesis |
qualification_level |
Bachelor degree |
author |
Nor Azmy, Norain Najihah |
author_facet |
Nor Azmy, Norain Najihah |
author_sort |
Nor Azmy, Norain Najihah |
title |
Effect of vegetation on dengue fever / Norain Najihah Nor Azmy |
title_short |
Effect of vegetation on dengue fever / Norain Najihah Nor Azmy |
title_full |
Effect of vegetation on dengue fever / Norain Najihah Nor Azmy |
title_fullStr |
Effect of vegetation on dengue fever / Norain Najihah Nor Azmy |
title_full_unstemmed |
Effect of vegetation on dengue fever / Norain Najihah Nor Azmy |
title_sort |
effect of vegetation on dengue fever / norain najihah nor azmy |
granting_institution |
Universiti Teknologi Mara Perlis |
granting_department |
Faculty of Architecture, Planning and Surveying |
publishDate |
2018 |
url |
https://ir.uitm.edu.my/id/eprint/21208/1/TD_NORAIN%20NAJIHAH%20NOR%20AZMY%20AP_R%2018_5.pdf |
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1783733748185956352 |