Abstract
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.
Metadata
Item Type: | Article |
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Creators: | Creators Email / ID Num. Azhar, Elya Sara Syuhada UNSPECIFIED Mohamed Yusof, Noreha UNSPECIFIED Che Sulaiman, Nur Salsabila UNSPECIFIED Rosli, Siti Nuraqina UNSPECIFIED |
Subjects: | H Social Sciences > HA Statistics > Statistical data H Social Sciences > HF Commerce > Business education |
Divisions: | Universiti Teknologi MARA, Negeri Sembilan |
Journal or Publication Title: | Journal of Academia |
UiTM Journal Collections: | UiTM Journal > Journal of Academia (JoA) |
ISSN: | 2289-6368 |
Volume: | 10 |
Page Range: | pp. 1-9 |
Keywords: | forecasting, COVID-19, mortality rate, mortality rate worldwide, univariate model |
Date: | 2022 |
URI: | https://ir.uitm.edu.my/id/eprint/70053 |