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Global sensitivity analysis of COVID-19 mathematical model()
In this paper, we applied the Sobol’s method on an already existing mathematical model of coronavirus disease 2019 (covid-19). The objectives of this research work are to study the individual effects of involved parameters as well as combine (mutual) effects of parameters on output variables of covi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V. on behalf of Faculty of Engineering, Alexandria University.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7524656/ http://dx.doi.org/10.1016/j.aej.2020.09.035 |
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author | Zhang, Zizhen Gul, Raheem Zeb, Anwar |
author_facet | Zhang, Zizhen Gul, Raheem Zeb, Anwar |
author_sort | Zhang, Zizhen |
collection | PubMed |
description | In this paper, we applied the Sobol’s method on an already existing mathematical model of coronavirus disease 2019 (covid-19). The objectives of this research work are to study the individual effects of involved parameters as well as combine (mutual) effects of parameters on output variables of covid-19 model. The study is also useful to identify the ranking of key model parameters and factors fixing. The ultimate goal is to identify the controlling parameters, which eventually will help decision makers to explore various policy options to control the covid-19 pandemic. For this purpose, first we present the model with its basic properties that are positivity and existence of solution. Then use the Sobol’s method to discuss the individual effects of involved parameters as well as combine (mutual) effects of parameters on output variables of covid-19 model. Finally, we present the results, discussions and concluding remarks about key model parameters and identifying the controlling parameters, which eventually will help decision makers to explore various policy options to control the covid-19 pandemic. |
format | Online Article Text |
id | pubmed-7524656 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Authors. Published by Elsevier B.V. on behalf of Faculty of Engineering, Alexandria University. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75246562020-09-30 Global sensitivity analysis of COVID-19 mathematical model() Zhang, Zizhen Gul, Raheem Zeb, Anwar Alexandria Engineering Journal Article In this paper, we applied the Sobol’s method on an already existing mathematical model of coronavirus disease 2019 (covid-19). The objectives of this research work are to study the individual effects of involved parameters as well as combine (mutual) effects of parameters on output variables of covid-19 model. The study is also useful to identify the ranking of key model parameters and factors fixing. The ultimate goal is to identify the controlling parameters, which eventually will help decision makers to explore various policy options to control the covid-19 pandemic. For this purpose, first we present the model with its basic properties that are positivity and existence of solution. Then use the Sobol’s method to discuss the individual effects of involved parameters as well as combine (mutual) effects of parameters on output variables of covid-19 model. Finally, we present the results, discussions and concluding remarks about key model parameters and identifying the controlling parameters, which eventually will help decision makers to explore various policy options to control the covid-19 pandemic. The Authors. Published by Elsevier B.V. on behalf of Faculty of Engineering, Alexandria University. 2021-02 2020-09-30 /pmc/articles/PMC7524656/ http://dx.doi.org/10.1016/j.aej.2020.09.035 Text en © 2020 The Authors. Published by Elsevier B.V. on behalf of Faculty of Engineering, Alexandria University. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Zhang, Zizhen Gul, Raheem Zeb, Anwar Global sensitivity analysis of COVID-19 mathematical model() |
title | Global sensitivity analysis of COVID-19 mathematical model() |
title_full | Global sensitivity analysis of COVID-19 mathematical model() |
title_fullStr | Global sensitivity analysis of COVID-19 mathematical model() |
title_full_unstemmed | Global sensitivity analysis of COVID-19 mathematical model() |
title_short | Global sensitivity analysis of COVID-19 mathematical model() |
title_sort | global sensitivity analysis of covid-19 mathematical model() |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7524656/ http://dx.doi.org/10.1016/j.aej.2020.09.035 |
work_keys_str_mv | AT zhangzizhen globalsensitivityanalysisofcovid19mathematicalmodel AT gulraheem globalsensitivityanalysisofcovid19mathematicalmodel AT zebanwar globalsensitivityanalysisofcovid19mathematicalmodel |