Simulation of the evolution of the Covid-19 pandemic in the United Arab Emirates using the sir epidemical model
The Coronavirus Disease 2019 (COVID-19) is a pulmonary disease produced by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and has become a global pandemic March 2019. The aim of this research is to study a modelling approach on the spread of the COVID-19 pandemic utilizing analysis...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2021-01-01
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| Series: | Arab Journal of Basic and Applied Sciences |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/25765299.2021.1890900 |
| _version_ | 1819096333140623360 |
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| author | A. Haj Ismail E.A. Dawi T. Jwaid Saleh T. Mahmoud A. AbdelKader |
| author_facet | A. Haj Ismail E.A. Dawi T. Jwaid Saleh T. Mahmoud A. AbdelKader |
| author_sort | A. Haj Ismail |
| collection | DOAJ |
| description | The Coronavirus Disease 2019 (COVID-19) is a pulmonary disease produced by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and has become a global pandemic March 2019. The aim of this research is to study a modelling approach on the spread of the COVID-19 pandemic utilizing analysis that is based on the well-known susceptible-infectious-removed (SIR) model. Since the declaration of the epidemic in Wuhan-city in China and other places around the world, several studies have addressed the development and evolution of the disease in different countries and have shown good stability of the use of such model. The United Arab Emirates is among the countries affected by the spread of the virus. Using collected data from 1 March 2020 to 31 August 2020 collected by John Hopkins University and the Federal Competitiveness and Statistics Authority (FCSA) in the UAE, we apply the SIR model to simulate the evolution of the virus in the United Arab Emirates. Our model predicts a peak in the daily infected cases on 19 May 2020, and the cumulative number of infected individuals to reach 100,000 cases by the end of October 2020. |
| first_indexed | 2024-12-21T23:57:31Z |
| format | Article |
| id | doaj.art-162fb392efe441979de9f8aa9731421c |
| institution | Directory Open Access Journal |
| issn | 2576-5299 |
| language | English |
| last_indexed | 2024-12-21T23:57:31Z |
| publishDate | 2021-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Arab Journal of Basic and Applied Sciences |
| spelling | doaj.art-162fb392efe441979de9f8aa9731421c2022-12-21T18:45:46ZengTaylor & Francis GroupArab Journal of Basic and Applied Sciences2576-52992021-01-0128112813410.1080/25765299.2021.18909001890900Simulation of the evolution of the Covid-19 pandemic in the United Arab Emirates using the sir epidemical modelA. Haj Ismail0E.A. Dawi1T. Jwaid2Saleh T. Mahmoud3A. AbdelKader4Department of Mathematics and Sciences, Ajman UniversityDepartment of Mathematics and Sciences, Ajman UniversityDepartment of Data Analysis and Mathematical Modelling, Ghent UniversityDepartment of Physics, College of Science, United Arab Emirates UniversityDepartment of Mathematics and Sciences, Ajman UniversityThe Coronavirus Disease 2019 (COVID-19) is a pulmonary disease produced by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and has become a global pandemic March 2019. The aim of this research is to study a modelling approach on the spread of the COVID-19 pandemic utilizing analysis that is based on the well-known susceptible-infectious-removed (SIR) model. Since the declaration of the epidemic in Wuhan-city in China and other places around the world, several studies have addressed the development and evolution of the disease in different countries and have shown good stability of the use of such model. The United Arab Emirates is among the countries affected by the spread of the virus. Using collected data from 1 March 2020 to 31 August 2020 collected by John Hopkins University and the Federal Competitiveness and Statistics Authority (FCSA) in the UAE, we apply the SIR model to simulate the evolution of the virus in the United Arab Emirates. Our model predicts a peak in the daily infected cases on 19 May 2020, and the cumulative number of infected individuals to reach 100,000 cases by the end of October 2020.http://dx.doi.org/10.1080/25765299.2021.1890900covid-19data analysispandemic evolutionsir model |
| spellingShingle | A. Haj Ismail E.A. Dawi T. Jwaid Saleh T. Mahmoud A. AbdelKader Simulation of the evolution of the Covid-19 pandemic in the United Arab Emirates using the sir epidemical model Arab Journal of Basic and Applied Sciences covid-19 data analysis pandemic evolution sir model |
| title | Simulation of the evolution of the Covid-19 pandemic in the United Arab Emirates using the sir epidemical model |
| title_full | Simulation of the evolution of the Covid-19 pandemic in the United Arab Emirates using the sir epidemical model |
| title_fullStr | Simulation of the evolution of the Covid-19 pandemic in the United Arab Emirates using the sir epidemical model |
| title_full_unstemmed | Simulation of the evolution of the Covid-19 pandemic in the United Arab Emirates using the sir epidemical model |
| title_short | Simulation of the evolution of the Covid-19 pandemic in the United Arab Emirates using the sir epidemical model |
| title_sort | simulation of the evolution of the covid 19 pandemic in the united arab emirates using the sir epidemical model |
| topic | covid-19 data analysis pandemic evolution sir model |
| url | http://dx.doi.org/10.1080/25765299.2021.1890900 |
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