Prediction of dengue outbreak: a comparison between ARIMA and holt-winters methods / Norwaziah Mahmud ... [et al.]

Dengue is a globally known infection in which the virus is transmitted by mosquitoes and can lead to death. Selangor has been reported to have the highest incidence of dengue infections among the communities in Malaysia. There is currently a new pandemic, COVID-19, which occurred worldwide, includin...

Full description

Saved in:
Bibliographic Details
Main Authors: Mahmud, Norwaziah (Author), Muhammat Pazil, Nur Syuhada (Author), Jamaluddin, Hafawati (Author), Ali, Nur Aqilah (Author)
Format: Book
Published: Universiti Teknologi MARA Cawangan Pulau Pinang, 2021-08.
Subjects:
Online Access:Link Metadata
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000 am a22000003u 4500
001 repouitm_6048
042 |a dc 
100 1 0 |a Mahmud, Norwaziah  |e author 
700 1 0 |a Muhammat Pazil, Nur Syuhada  |e author 
700 1 0 |a Jamaluddin, Hafawati  |e author 
700 1 0 |a Ali, Nur Aqilah  |e author 
245 0 0 |a Prediction of dengue outbreak: a comparison between ARIMA and holt-winters methods / Norwaziah Mahmud ... [et al.] 
260 |b Universiti Teknologi MARA Cawangan Pulau Pinang,   |c 2021-08. 
500 |a https://ir.uitm.edu.my/id/eprint/6048/1/6048.pdf 
520 |a Dengue is a globally known infection in which the virus is transmitted by mosquitoes and can lead to death. Selangor has been reported to have the highest incidence of dengue infections among the communities in Malaysia. There is currently a new pandemic, COVID-19, which occurred worldwide, including Selangor, which led to this study on the pattern of dengue cases during COVID-19. The aim of this study is to develop the best model to predict the future value of dengue cases in Selangor. In order to meet the objectives, the ARIMA method and the Holt-Winters method were used to evaluate dengue case data collected in Selangor. The best model was chosen by evaluating the Mean Square Error (MSE), Root Mean Square Error (RMSE) and Mean Absolute Percent Error (MAPE) measurement errors. Then, the forecasted number of dengue cases was calculated using the best model generated. The best model to forecast dengue cases in Selangor is the Additive Holt-Winters model since it showed the lowest values of all measurement errors compared to the Multiplicative Holt-Winters and ARIMA (1,1,0) models. 
546 |a en 
690 |a Infectious and parasitic diseases 
690 |a Dengue 
655 7 |a Article  |2 local 
655 7 |a PeerReviewed  |2 local 
787 0 |n https://ir.uitm.edu.my/id/eprint/6048/ 
787 0 |n https://uppp.uitm.edu.my 
856 4 1 |u https://ir.uitm.edu.my/id/eprint/6048/  |z Link Metadata