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SEIRD model for Qatar COVID-19 outbreak: A case study

المؤلفGhanam, Ryad
المؤلفBoone, Edward L.
المؤلفAbdel-Salam, Abdel Salam G.
تاريخ الإتاحة2023-11-29T10:06:03Z
تاريخ النشر2021
اسم المنشورLetters in Biomathematics
المصدرScopus
الرقم المعياري الدولي للكتاب23737867
معرّف المصادر الموحدhttp://hdl.handle.net/10576/49822
الملخصThe 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.
راعي المشروعThe 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.
اللغةen
الناشرIntercollegiate Biomathematics Alliance
الموضوعBayesian Statistics
Compartmental Model
Intervention Analysis
Modeling Technique
SEIRD
العنوانSEIRD model for Qatar COVID-19 outbreak: A case study
النوعArticle
الصفحات19-28
رقم العدد1
رقم المجلد8
dc.accessType Abstract Only


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