FORECASTING THE COVID-19 MORTALITY RATE WORLDWIDE
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 ne...
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| Format: | Article |
| Language: | English |
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Universiti Teknologi MARA, Negeri Sembilan
2022-10-01
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| Series: | Journal of Academia |
| Subjects: | |
| Online Access: | https://myjms.mohe.gov.my/index.php/joa/article/view/18883 |
| _version_ | 1827278536030814208 |
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| author | Noreha Mohamed Yusof Elya Sara Syuhada Azhar Nur Salsabila Che Sulaiman Siti Nuraqina Rosli |
| author_facet | Noreha Mohamed Yusof Elya Sara Syuhada Azhar Nur Salsabila Che Sulaiman Siti Nuraqina Rosli |
| author_sort | Noreha Mohamed Yusof |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-11T16:27:15Z |
| format | Article |
| id | doaj.art-ba3fd06e96944f26818ecb662a10cc09 |
| institution | Directory Open Access Journal |
| issn | 2289-6368 |
| language | English |
| last_indexed | 2024-04-24T08:02:01Z |
| publishDate | 2022-10-01 |
| publisher | Universiti Teknologi MARA, Negeri Sembilan |
| record_format | Article |
| series | Journal of Academia |
| spelling | doaj.art-ba3fd06e96944f26818ecb662a10cc092024-04-17T16:36:03ZengUniversiti Teknologi MARA, Negeri SembilanJournal of Academia2289-63682022-10-0110219FORECASTING THE COVID-19 MORTALITY RATE WORLDWIDENoreha Mohamed Yusof0Elya Sara Syuhada Azhar 1Nur Salsabila Che Sulaiman 2Siti Nuraqina Rosli 3UiTM Negeri SembilanCenter of Statistical and Decision Science Studies Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA (UiTM) Cawangan Negeri SembilanCenter of Statistical and Decision Science Studies Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA (UiTM) Cawangan Negeri SembilanCenter of Statistical and Decision Science Studies, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Cawangan Negeri SembilanCoronavirus 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.https://myjms.mohe.gov.my/index.php/joa/article/view/18883forecastingcovid-19mortality ratemortality rate worldwideunivariate model |
| spellingShingle | Noreha Mohamed Yusof Elya Sara Syuhada Azhar Nur Salsabila Che Sulaiman Siti Nuraqina Rosli FORECASTING THE COVID-19 MORTALITY RATE WORLDWIDE Journal of Academia forecasting covid-19 mortality rate mortality rate worldwide univariate model |
| title | FORECASTING THE COVID-19 MORTALITY RATE WORLDWIDE |
| title_full | FORECASTING THE COVID-19 MORTALITY RATE WORLDWIDE |
| title_fullStr | FORECASTING THE COVID-19 MORTALITY RATE WORLDWIDE |
| title_full_unstemmed | FORECASTING THE COVID-19 MORTALITY RATE WORLDWIDE |
| title_short | FORECASTING THE COVID-19 MORTALITY RATE WORLDWIDE |
| title_sort | forecasting the covid 19 mortality rate worldwide |
| topic | forecasting covid-19 mortality rate mortality rate worldwide univariate model |
| url | https://myjms.mohe.gov.my/index.php/joa/article/view/18883 |
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