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Forecasting the COVID-19 mortality rate worldwide: a comparison of univariate models / Elya Sara Syuhada Azhar ... [et al.]

Coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. COVID- 19 disease was initially discovered in Wuhan, China and now spread throughout the countries. Most people infected with the virus will develop mild to moderate respiratory problems and recover without the n...

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Main Authors: Azhar, Elya Sara Syuhada, Mohamed Yusof, Noreha, Che Sulaiman, Nur Salsabila, Rosli, Siti Nuraqina
Format: Article
Language:English
Published: UiTM Cawangan Negeri Sembilan 2022
Subjects:
Statistical data
Business education
Online Access:https://ir.uitm.edu.my/id/eprint/70053/1/70053.pdf
https://ir.uitm.edu.my/id/eprint/70053/
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record_format eprints
spelling my.uitm.ir.700532022-11-14T02:39:57Z https://ir.uitm.edu.my/id/eprint/70053/ Forecasting the COVID-19 mortality rate worldwide: a comparison of univariate models / Elya Sara Syuhada Azhar ... [et al.] Azhar, Elya Sara Syuhada Mohamed Yusof, Noreha Che Sulaiman, Nur Salsabila Rosli, Siti Nuraqina Statistical data Business education Coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. COVID- 19 disease was initially discovered in Wuhan, China and now spread throughout the countries. Most people infected with the virus will develop mild to moderate respiratory problems and recover without the need for special treatment. However, some people will become severely ill and require medical treatment and can cause death. COVID-19 mortality rates nationwide are increasing day by day and growing concerns. On 13 December 2021, 5,325,079 deaths worldwide were recorded. Thus, this study is regarding the mortality rate of COVID-19 using univariate forecasting techniques. The data was retrieved from GitHub Our World in Data. Holt's method was selected as the best univariate model in order to forecast the mortality rate. Holt's method shows the lowest error measures. The predicted value of the mortality rate for COVID-19 is decreasing between 1 November 2021 to 31 January 2022. The decreasing predicted value might be due to the vaccinated programs done worldwide. A further study should be done to measured the factors related to the improved spread of COVID-19. UiTM Cawangan Negeri Sembilan 2022 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/70053/1/70053.pdf Forecasting the COVID-19 mortality rate worldwide: a comparison of univariate models / Elya Sara Syuhada Azhar ... [et al.]. (2022) Journal of Academia, 10. pp. 1-9. ISSN 2289-6368
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Statistical data
Business education
spellingShingle Statistical data
Business education
Azhar, Elya Sara Syuhada
Mohamed Yusof, Noreha
Che Sulaiman, Nur Salsabila
Rosli, Siti Nuraqina
Forecasting the COVID-19 mortality rate worldwide: a comparison of univariate models / Elya Sara Syuhada Azhar ... [et al.]
description Coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. COVID- 19 disease was initially discovered in Wuhan, China and now spread throughout the countries. Most people infected with the virus will develop mild to moderate respiratory problems and recover without the need for special treatment. However, some people will become severely ill and require medical treatment and can cause death. COVID-19 mortality rates nationwide are increasing day by day and growing concerns. On 13 December 2021, 5,325,079 deaths worldwide were recorded. Thus, this study is regarding the mortality rate of COVID-19 using univariate forecasting techniques. The data was retrieved from GitHub Our World in Data. Holt's method was selected as the best univariate model in order to forecast the mortality rate. Holt's method shows the lowest error measures. The predicted value of the mortality rate for COVID-19 is decreasing between 1 November 2021 to 31 January 2022. The decreasing predicted value might be due to the vaccinated programs done worldwide. A further study should be done to measured the factors related to the improved spread of COVID-19.
format Article
author Azhar, Elya Sara Syuhada
Mohamed Yusof, Noreha
Che Sulaiman, Nur Salsabila
Rosli, Siti Nuraqina
author_facet Azhar, Elya Sara Syuhada
Mohamed Yusof, Noreha
Che Sulaiman, Nur Salsabila
Rosli, Siti Nuraqina
author_sort Azhar, Elya Sara Syuhada
title Forecasting the COVID-19 mortality rate worldwide: a comparison of univariate models / Elya Sara Syuhada Azhar ... [et al.]
title_short Forecasting the COVID-19 mortality rate worldwide: a comparison of univariate models / Elya Sara Syuhada Azhar ... [et al.]
title_full Forecasting the COVID-19 mortality rate worldwide: a comparison of univariate models / Elya Sara Syuhada Azhar ... [et al.]
title_fullStr Forecasting the COVID-19 mortality rate worldwide: a comparison of univariate models / Elya Sara Syuhada Azhar ... [et al.]
title_full_unstemmed Forecasting the COVID-19 mortality rate worldwide: a comparison of univariate models / Elya Sara Syuhada Azhar ... [et al.]
title_sort forecasting the covid-19 mortality rate worldwide: a comparison of univariate models / elya sara syuhada azhar ... [et al.]
publisher UiTM Cawangan Negeri Sembilan
publishDate 2022
url https://ir.uitm.edu.my/id/eprint/70053/1/70053.pdf
https://ir.uitm.edu.my/id/eprint/70053/
_version_ 1751539992010686464
score 13.211869

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