Analysis on Dengue’s Seasonality in Malaysia
In Malaysia, there is currently not have enough study which discuss about the climatic factors and also dengue cases per epidemiological week. The purpose of this study was to investigate the correlation between the climatic factors such as minimum temperature, average relative humidity and total a...
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Universiti Malaysia Sarawak, (UNIMAS)
2020
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Online Access: | http://ir.unimas.my/id/eprint/34677/1/Tan%20Jia%20Er%20-%2024%20pgs.pdf http://ir.unimas.my/id/eprint/34677/4/Tan%20Jia%20Er.pdf http://ir.unimas.my/id/eprint/34677/ |
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my.unimas.ir.346772024-03-15T07:36:22Z http://ir.unimas.my/id/eprint/34677/ Analysis on Dengue’s Seasonality in Malaysia Tan, Jia Er QA75 Electronic computers. Computer science In Malaysia, there is currently not have enough study which discuss about the climatic factors and also dengue cases per epidemiological week. The purpose of this study was to investigate the correlation between the climatic factors such as minimum temperature, average relative humidity and total amount of rainfall with the number of dengue cases recorded per epidemiological week. Selangor is chosen as the study area because it achieved the highest number of dengue cases occurred within the period of year 2010 to year 2017. The number of dengue cases are retrieved from Malaysia’s Open Data Portal while the weather data are retrieved from website of Tutiempo. Pearson’s product-moment correlation test was done between the number of dengue cases and the climatic factors. The result obtained shows that there exists a weak relationship between the climatic factors and the number of dengue cases. Besides, ARIMA model is used to predict the future dengue cases happens. The ARIMA model can be used to optimize and predict the dengue occurrence by prediction on the climate effect on dengue cases in Malaysia. Universiti Malaysia Sarawak, (UNIMAS) 2020 Final Year Project Report NonPeerReviewed text en http://ir.unimas.my/id/eprint/34677/1/Tan%20Jia%20Er%20-%2024%20pgs.pdf text en http://ir.unimas.my/id/eprint/34677/4/Tan%20Jia%20Er.pdf Tan, Jia Er (2020) Analysis on Dengue’s Seasonality in Malaysia. [Final Year Project Report] (Unpublished) |
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QA75 Electronic computers. Computer science Tan, Jia Er Analysis on Dengue’s Seasonality in Malaysia |
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In Malaysia, there is currently not have enough study which discuss about the climatic factors and also dengue cases per epidemiological week. The purpose of this study was to investigate the correlation between the climatic factors such as minimum temperature, average relative
humidity and total amount of rainfall with the number of dengue cases recorded per epidemiological week. Selangor is chosen as the study area because it achieved the highest number of dengue cases occurred within the period of year 2010 to year 2017. The number of dengue cases are retrieved from Malaysia’s Open Data Portal while the weather data are retrieved from website of Tutiempo. Pearson’s product-moment correlation test was done
between the number of dengue cases and the climatic factors. The result obtained shows that there exists a weak relationship between the climatic factors and the number of dengue cases. Besides, ARIMA model is used to predict the future dengue cases happens. The ARIMA model
can be used to optimize and predict the dengue occurrence by prediction on the climate effect on dengue cases in Malaysia. |
format |
Final Year Project Report |
author |
Tan, Jia Er |
author_facet |
Tan, Jia Er |
author_sort |
Tan, Jia Er |
title |
Analysis on Dengue’s Seasonality in Malaysia |
title_short |
Analysis on Dengue’s Seasonality in Malaysia |
title_full |
Analysis on Dengue’s Seasonality in Malaysia |
title_fullStr |
Analysis on Dengue’s Seasonality in Malaysia |
title_full_unstemmed |
Analysis on Dengue’s Seasonality in Malaysia |
title_sort |
analysis on dengue’s seasonality in malaysia |
publisher |
Universiti Malaysia Sarawak, (UNIMAS) |
publishDate |
2020 |
url |
http://ir.unimas.my/id/eprint/34677/1/Tan%20Jia%20Er%20-%2024%20pgs.pdf http://ir.unimas.my/id/eprint/34677/4/Tan%20Jia%20Er.pdf http://ir.unimas.my/id/eprint/34677/ |
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1794644136599486464 |
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13.188404 |