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AuthorGhanam, Ryad
AuthorBoone, Edward L.
AuthorAbdel-Salam, Abdel Salam G.
Available date2023-11-29T10:06:03Z
Publication Date2021
Publication NameLetters in Biomathematics
ResourceScopus
ISSN23737867
URIhttp://hdl.handle.net/10576/49822
AbstractThe 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.
SponsorThe 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.
Languageen
PublisherIntercollegiate Biomathematics Alliance
SubjectBayesian Statistics
Compartmental Model
Intervention Analysis
Modeling Technique
SEIRD
TitleSEIRD model for Qatar COVID-19 outbreak: A case study
TypeArticle
Pagination19-28
Issue Number1
Volume Number8
dc.accessType Abstract Only


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