Analysis on Dengue’s Seasonality in Malaysia

Tan, Jia Er (2020) Analysis on Dengue’s Seasonality in Malaysia. [Final Year Project Report] (Unpublished)

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Abstract

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.

Item Type:	Final Year Project Report
Additional Information:	Project Report (BSc.) -- Universiti Malaysia Sarawak, 2020.
Uncontrolled Keywords:	dengue cases, per epidemiological week, ARIMA model, Malaysia’s Open Data Portal, climatic factors.
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User:	Gani
Date Deposited:	04 Mar 2021 04:09
Last Modified:	15 Mar 2024 07:36
URI:	http://ir.unimas.my/id/eprint/34677

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