A mathematical model for human-to-human transmission of COVID-19: a case study for Turkey's data
In this study, a mathematical model for simulating the human-to-human transmission of the novel coronavirus disease (COVID-19) is presented for Turkey's data. For this purpose, the total population is classified into eight epidemiological compartments, including the super-spreaders. The local s...
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2021
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oai:doaj.org-article:da2948e54a93493fb0a5cafad8f78db32021-11-29T06:45:06ZA mathematical model for human-to-human transmission of COVID-19: a case study for Turkey's data10.3934/mbe.20214801551-0018https://doaj.org/article/da2948e54a93493fb0a5cafad8f78db32021-11-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021480?viewType=HTMLhttps://doaj.org/toc/1551-0018In this study, a mathematical model for simulating the human-to-human transmission of the novel coronavirus disease (COVID-19) is presented for Turkey's data. For this purpose, the total population is classified into eight epidemiological compartments, including the super-spreaders. The local stability and sensitivity analysis in terms of the model parameters are discussed, and the basic reproduction number, $ R_{0} $, is derived. The system of nonlinear ordinary differential equations is solved by using the Galerkin finite element method in the FEniCS environment. Furthermore, to guide the interested reader in reproducing the results and/or performing their own simulations, a sample solver is provided. Numerical simulations show that the proposed model is quite convenient for Turkey's data when used with appropriate parameters.Süleyman CengizciAslıhan Dursun CengizciÖmür UğurAIMS Pressarticlecovid-19 pandemichuman-to-human transmissionmathematical modelingfinite elementsnumerical simulationturkey case studyBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 6, Pp 9787-9805 (2021) |
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covid-19 pandemic human-to-human transmission mathematical modeling finite elements numerical simulation turkey case study Biotechnology TP248.13-248.65 Mathematics QA1-939 |
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covid-19 pandemic human-to-human transmission mathematical modeling finite elements numerical simulation turkey case study Biotechnology TP248.13-248.65 Mathematics QA1-939 Süleyman Cengizci Aslıhan Dursun Cengizci Ömür Uğur A mathematical model for human-to-human transmission of COVID-19: a case study for Turkey's data |
description |
In this study, a mathematical model for simulating the human-to-human transmission of the novel coronavirus disease (COVID-19) is presented for Turkey's data. For this purpose, the total population is classified into eight epidemiological compartments, including the super-spreaders. The local stability and sensitivity analysis in terms of the model parameters are discussed, and the basic reproduction number, $ R_{0} $, is derived. The system of nonlinear ordinary differential equations is solved by using the Galerkin finite element method in the FEniCS environment. Furthermore, to guide the interested reader in reproducing the results and/or performing their own simulations, a sample solver is provided. Numerical simulations show that the proposed model is quite convenient for Turkey's data when used with appropriate parameters. |
format |
article |
author |
Süleyman Cengizci Aslıhan Dursun Cengizci Ömür Uğur |
author_facet |
Süleyman Cengizci Aslıhan Dursun Cengizci Ömür Uğur |
author_sort |
Süleyman Cengizci |
title |
A mathematical model for human-to-human transmission of COVID-19: a case study for Turkey's data |
title_short |
A mathematical model for human-to-human transmission of COVID-19: a case study for Turkey's data |
title_full |
A mathematical model for human-to-human transmission of COVID-19: a case study for Turkey's data |
title_fullStr |
A mathematical model for human-to-human transmission of COVID-19: a case study for Turkey's data |
title_full_unstemmed |
A mathematical model for human-to-human transmission of COVID-19: a case study for Turkey's data |
title_sort |
mathematical model for human-to-human transmission of covid-19: a case study for turkey's data |
publisher |
AIMS Press |
publishDate |
2021 |
url |
https://doaj.org/article/da2948e54a93493fb0a5cafad8f78db3 |
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