Spatial correlation of dengue cases based on climate changes in Selangor for year 2013 to 2015 / Rabiatul Adawiyah Ab Halim

Dengue fever is an infectious mosquito borne disease that places a heavy burden on global disease and also on public health systems in Malaysia as well as on most of the tropical countries around the world. Little is known the climate changing association of dengue disease. The aim of this study is...

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Main Author:	Ab Halim, Rabiatul Adawiyah
Format:	Thesis
Language:	English English
Published:	2018
Subjects:	Geographic information systems Temperature measurements Chronic diseases
Online Access:	http://ir.uitm.edu.my/id/eprint/19003/ http://ir.uitm.edu.my/id/eprint/19003/2/TD_RABIATUL%20ADAWIYAH%20AB%20HALIM%20AP%2018_5.R.pdf http://ir.uitm.edu.my/id/eprint/19003/8/TD_RABIATUL%20ADAWIYAH%20AB%20HALIM%20AP_R%2018_5.pdf

id	uitm-19003
recordtype	eprints
spelling	uitm-190032018-07-20T03:35:26Z http://ir.uitm.edu.my/id/eprint/19003/ Spatial correlation of dengue cases based on climate changes in Selangor for year 2013 to 2015 / Rabiatul Adawiyah Ab Halim Ab Halim, Rabiatul Adawiyah Geographic information systems Temperature measurements Chronic diseases Dengue fever is an infectious mosquito borne disease that places a heavy burden on global disease and also on public health systems in Malaysia as well as on most of the tropical countries around the world. Little is known the climate changing association of dengue disease. The aim of this study is to analyse the spatial correlation of dengue cases from year 2013 to 2015 based on climatic changing condition in Selangor using Geographic Information System (GIS). The correlation of dengue cases based on the calculation of temperature value in Selangor and it is then mapped based on monthly number of dengue cases for three years. Kernel Density estimation was used for hotspot analysis on dengue cases. Then, Landsat 8 OLI were used to extract the value of temperature to be correlated with dengue cases. Correlation in 2013 and 2014 are given with R² value is 10% decreasing from July to December. It shows that, temperature is less significantly contributing to dengue cases due to the inconsistently temperature during July to December. On the other hand, correlation between 2014 and 2015 from January to April are given with R² value is 15% increasing. Therefore, temperature is more significantly contributing to dengue cases during January to April. This is because, that most of cases were concentrated in the first half of the year, mainly in March and April, underlining the known seasonality of dengue fever. Then, the mean annual temperature for the period were 24°C and 29°C for monthly maximum temperature. The range of temperature around 24°C to 33°C is very conducive for mosquito breeding cycle as an increase number of times, that mosquito breeds will also increase the likelihood of emergence of dengue outbreak. In the conclusion, dengue cases positively correlated with climate changes in Selangor for year 2013 to 2015. 2018-01 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/19003/2/TD_RABIATUL%20ADAWIYAH%20AB%20HALIM%20AP%2018_5.R.pdf text en http://ir.uitm.edu.my/id/eprint/19003/8/TD_RABIATUL%20ADAWIYAH%20AB%20HALIM%20AP_R%2018_5.pdf Ab Halim, Rabiatul Adawiyah (2018) Spatial correlation of dengue cases based on climate changes in Selangor for year 2013 to 2015 / Rabiatul Adawiyah Ab Halim. Degree thesis, Universiti Teknologi Mara Perlis.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English English
topic	Geographic information systems Temperature measurements Chronic diseases
spellingShingle	Geographic information systems Temperature measurements Chronic diseases Ab Halim, Rabiatul Adawiyah Spatial correlation of dengue cases based on climate changes in Selangor for year 2013 to 2015 / Rabiatul Adawiyah Ab Halim
description	Dengue fever is an infectious mosquito borne disease that places a heavy burden on global disease and also on public health systems in Malaysia as well as on most of the tropical countries around the world. Little is known the climate changing association of dengue disease. The aim of this study is to analyse the spatial correlation of dengue cases from year 2013 to 2015 based on climatic changing condition in Selangor using Geographic Information System (GIS). The correlation of dengue cases based on the calculation of temperature value in Selangor and it is then mapped based on monthly number of dengue cases for three years. Kernel Density estimation was used for hotspot analysis on dengue cases. Then, Landsat 8 OLI were used to extract the value of temperature to be correlated with dengue cases. Correlation in 2013 and 2014 are given with R² value is 10% decreasing from July to December. It shows that, temperature is less significantly contributing to dengue cases due to the inconsistently temperature during July to December. On the other hand, correlation between 2014 and 2015 from January to April are given with R² value is 15% increasing. Therefore, temperature is more significantly contributing to dengue cases during January to April. This is because, that most of cases were concentrated in the first half of the year, mainly in March and April, underlining the known seasonality of dengue fever. Then, the mean annual temperature for the period were 24°C and 29°C for monthly maximum temperature. The range of temperature around 24°C to 33°C is very conducive for mosquito breeding cycle as an increase number of times, that mosquito breeds will also increase the likelihood of emergence of dengue outbreak. In the conclusion, dengue cases positively correlated with climate changes in Selangor for year 2013 to 2015.
format	Thesis
author	Ab Halim, Rabiatul Adawiyah
author_facet	Ab Halim, Rabiatul Adawiyah
author_sort	Ab Halim, Rabiatul Adawiyah
title	Spatial correlation of dengue cases based on climate changes in Selangor for year 2013 to 2015 / Rabiatul Adawiyah Ab Halim
title_short	Spatial correlation of dengue cases based on climate changes in Selangor for year 2013 to 2015 / Rabiatul Adawiyah Ab Halim
title_full	Spatial correlation of dengue cases based on climate changes in Selangor for year 2013 to 2015 / Rabiatul Adawiyah Ab Halim
title_fullStr	Spatial correlation of dengue cases based on climate changes in Selangor for year 2013 to 2015 / Rabiatul Adawiyah Ab Halim
title_full_unstemmed	Spatial correlation of dengue cases based on climate changes in Selangor for year 2013 to 2015 / Rabiatul Adawiyah Ab Halim
title_sort	spatial correlation of dengue cases based on climate changes in selangor for year 2013 to 2015 / rabiatul adawiyah ab halim
publishDate	2018
url	http://ir.uitm.edu.my/id/eprint/19003/ http://ir.uitm.edu.my/id/eprint/19003/2/TD_RABIATUL%20ADAWIYAH%20AB%20HALIM%20AP%2018_5.R.pdf http://ir.uitm.edu.my/id/eprint/19003/8/TD_RABIATUL%20ADAWIYAH%20AB%20HALIM%20AP_R%2018_5.pdf
first_indexed	2023-09-18T23:01:38Z
last_indexed	2023-09-18T23:01:38Z
_version_	1777418212165550080

Spatial correlation of dengue cases based on climate changes in Selangor for year 2013 to 2015 / Rabiatul Adawiyah Ab Halim

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