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The Use of System Dynamics Methodology in Building a COVID-19 Confirmed Case Model
Author
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-10
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Researchers used a hybrid model (a combination of health resource demand model and disease transmission model), Bayesian model, and susceptible-exposed-infectious-removed (SEIR) model to predict health service utilization and deaths and mixed-effect nonlinear regression.
Further, they used the mixture model to predict the number of confirmed cases and deaths or to predict when the curve would flatten.
In this article, we show, through scenarios developed using system dynamics methodology, besides close to real-world results, the detrimental effects of ignoring social distancing guidelines (in terms of the number of people infected, which decreased as the percentage of noncompliance decreased).
American Psychological Association (APA)
Mohd Yusoff, Mohd Izhan. 2020. The Use of System Dynamics Methodology in Building a COVID-19 Confirmed Case Model. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1139663
Modern Language Association (MLA)
Mohd Yusoff, Mohd Izhan. The Use of System Dynamics Methodology in Building a COVID-19 Confirmed Case Model. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1139663
American Medical Association (AMA)
Mohd Yusoff, Mohd Izhan. The Use of System Dynamics Methodology in Building a COVID-19 Confirmed Case Model. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1139663
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139663