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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| Main Author: | |
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| Format: | Final Year Project Report |
| Language: | English English |
| Published: |
Universiti Malaysia Sarawak, (UNIMAS)
2020
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| Subjects: | |
| 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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| Institution: | Universiti Malaysia Sarawak |
| Language: | English English |
| Summary: | 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. |
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