Statistical Analysis of the People Fully Vaccinated against COVID-19 in Two Different Regions
Motivation. Currently, the COVID-19 pandemic represents a critical issue all over the world. On May 11, 2020, at 05 : 41 GMT, approximately 0.28 million individuals had perished because of the COVID-19 pandemic, and the figure is continuously growing rapidly. Unfortunately, millions of people have d...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Applied Bionics and Biomechanics |
| Online Access: | http://dx.doi.org/10.1155/2022/7104960 |
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| author | Abdullah Ali H. Ahmadini Mohammed Elgarhy A. W. Shawki Hanan Baaqeel Omar Bazighifan |
| author_facet | Abdullah Ali H. Ahmadini Mohammed Elgarhy A. W. Shawki Hanan Baaqeel Omar Bazighifan |
| author_sort | Abdullah Ali H. Ahmadini |
| collection | DOAJ |
| description | Motivation. Currently, the COVID-19 pandemic represents a critical issue all over the world. On May 11, 2020, at 05 : 41 GMT, approximately 0.28 million individuals had perished because of the COVID-19 pandemic, and the figure is continuously growing rapidly. Unfortunately, millions of people have died due to this pandemic. As a result, this issue forced governments and other corresponding organizations to take significant action, such as the lockdown and vaccinations. Furthermore, scientists have developed several vaccinations, and the World Health Organization (WHO) has urged governments and people to get vaccinated to eradicate this pandemic. Consequently, the findings of any scientific research into this phenomenon are highly interesting. Problem Statement. To enhance individual protection, it is now critical to analyze and compare the percentage of people fully vaccinated against COVID-19. It is constantly of interest in the field of big data science and other related disciplines to provide the best analysis and modeling of COVID-19 data. Methodology. Through this paper, we aimed to compare individuals who have been completely vaccinated against COVID-19 in two locations: North American countries and Arabian Peninsula countries. Simple techniques for comparing individuals who have been completely vaccinated against COVID-19 have been applied, which may be used to generate the foundation for conclusions. Most significantly, a modern statistical model was created to present the best assessment of individuals completely vaccinated against COVID-19 data in nations in North America and the Arabian Peninsula. Some of the suggested statistical model features were proposed. Furthermore, the estimate of the model parameters was driven using the maximum likelihood estimation method. Results. The flexibility provided by the proposed statistical model is useful for describing the percentage of the individuals completely vaccinated against COVID-19, which provides a close fit with the COVID-19 data. Implications. The proposed statistical model can be used for statistics and generate new statistical distributions that can be used to compare and predict the process of people’s willingness to vaccinate and take the vaccine to try to eliminate COVID-19. |
| format | Article |
| id | doaj-art-0ad1873a19b94f0e8f9d5fe7d6628b18 |
| institution | Kabale University |
| issn | 1754-2103 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Bionics and Biomechanics |
| spelling | doaj-art-0ad1873a19b94f0e8f9d5fe7d6628b182025-02-03T06:06:48ZengWileyApplied Bionics and Biomechanics1754-21032022-01-01202210.1155/2022/7104960Statistical Analysis of the People Fully Vaccinated against COVID-19 in Two Different RegionsAbdullah Ali H. Ahmadini0Mohammed Elgarhy1A. W. Shawki2Hanan Baaqeel3Omar Bazighifan4Department of MathematicsThe Higher Institute of Commercial SciencesCentral Agency for Public Mobilization & Statistics (CAPMAS)Statistics DepartmentDepartment of MathematicsMotivation. Currently, the COVID-19 pandemic represents a critical issue all over the world. On May 11, 2020, at 05 : 41 GMT, approximately 0.28 million individuals had perished because of the COVID-19 pandemic, and the figure is continuously growing rapidly. Unfortunately, millions of people have died due to this pandemic. As a result, this issue forced governments and other corresponding organizations to take significant action, such as the lockdown and vaccinations. Furthermore, scientists have developed several vaccinations, and the World Health Organization (WHO) has urged governments and people to get vaccinated to eradicate this pandemic. Consequently, the findings of any scientific research into this phenomenon are highly interesting. Problem Statement. To enhance individual protection, it is now critical to analyze and compare the percentage of people fully vaccinated against COVID-19. It is constantly of interest in the field of big data science and other related disciplines to provide the best analysis and modeling of COVID-19 data. Methodology. Through this paper, we aimed to compare individuals who have been completely vaccinated against COVID-19 in two locations: North American countries and Arabian Peninsula countries. Simple techniques for comparing individuals who have been completely vaccinated against COVID-19 have been applied, which may be used to generate the foundation for conclusions. Most significantly, a modern statistical model was created to present the best assessment of individuals completely vaccinated against COVID-19 data in nations in North America and the Arabian Peninsula. Some of the suggested statistical model features were proposed. Furthermore, the estimate of the model parameters was driven using the maximum likelihood estimation method. Results. The flexibility provided by the proposed statistical model is useful for describing the percentage of the individuals completely vaccinated against COVID-19, which provides a close fit with the COVID-19 data. Implications. The proposed statistical model can be used for statistics and generate new statistical distributions that can be used to compare and predict the process of people’s willingness to vaccinate and take the vaccine to try to eliminate COVID-19.http://dx.doi.org/10.1155/2022/7104960 |
| spellingShingle | Abdullah Ali H. Ahmadini Mohammed Elgarhy A. W. Shawki Hanan Baaqeel Omar Bazighifan Statistical Analysis of the People Fully Vaccinated against COVID-19 in Two Different Regions Applied Bionics and Biomechanics |
| title | Statistical Analysis of the People Fully Vaccinated against COVID-19 in Two Different Regions |
| title_full | Statistical Analysis of the People Fully Vaccinated against COVID-19 in Two Different Regions |
| title_fullStr | Statistical Analysis of the People Fully Vaccinated against COVID-19 in Two Different Regions |
| title_full_unstemmed | Statistical Analysis of the People Fully Vaccinated against COVID-19 in Two Different Regions |
| title_short | Statistical Analysis of the People Fully Vaccinated against COVID-19 in Two Different Regions |
| title_sort | statistical analysis of the people fully vaccinated against covid 19 in two different regions |
| url | http://dx.doi.org/10.1155/2022/7104960 |
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