SEIRD model for Qatar COVID-19 outbreak: A case study
| Author | Ghanam, Ryad |
| Author | Boone, Edward L. |
| Author | Abdel-Salam, Abdel Salam G. |
| Available date | 2023-11-29T10:06:03Z |
| Publication Date | 2021 |
| Publication Name | Letters in Biomathematics |
| Resource | Scopus |
| ISSN | 23737867 |
| Abstract | The COVID-19 outbreak of 2020 has required many governments to develop mathematical-statistical models of the outbreak for policy and planning purposes. This work provides a tutorial on building a compartmental model using Susceptibles, Exposed, Infected, Recovered and Deaths (SEIRD) status through time. A Bayesian Framework is utilized to perform both parameter estimation and predictions. This model uses interventions to quantify the impact of various government attempts to slow the spread of the virus. Predictions are also made to determine when the peak Active Infections will occur. |
| Sponsor | The authors would like to acknowledge the State of Qatar and the Ministry of Health for the daily updates and additional data. In addition the authors would like thank Virginia Commonwealth University in Qatar and Qatar University for supporting this effort. |
| Language | en |
| Publisher | Intercollegiate Biomathematics Alliance |
| Subject | Bayesian Statistics Compartmental Model Intervention Analysis Modeling Technique SEIRD |
| Type | Article |
| Pagination | 19-28 |
| Issue Number | 1 |
| Volume Number | 8 |
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COVID-19 Research [788 items ]
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Mathematics, Statistics & Physics [694 items ]