Prediction of bifurcations by varying critical parameters of COVID-19

Coronavirus disease 2019 is a recent strong challenge for the world. In this paper, an epidemiology model is investigated as a model for the development of COVID-19. The propagation of COVID-19 through various sub-groups of society is studied. Some critical parameters, such as the background of mort...

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Autores principales: Nazarimehr, Fahimeh, Pham, Viet-Thanh, Kapitaniak, Tomasz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298931/
https://www.ncbi.nlm.nih.gov/pubmed/32836801
http://dx.doi.org/10.1007/s11071-020-05749-6
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author Nazarimehr, Fahimeh
Pham, Viet-Thanh
Kapitaniak, Tomasz
author_facet Nazarimehr, Fahimeh
Pham, Viet-Thanh
Kapitaniak, Tomasz
author_sort Nazarimehr, Fahimeh
collection PubMed
description Coronavirus disease 2019 is a recent strong challenge for the world. In this paper, an epidemiology model is investigated as a model for the development of COVID-19. The propagation of COVID-19 through various sub-groups of society is studied. Some critical parameters, such as the background of mortality without considering the disease state and the speed of moving people from infected to resistance, affect the conditions of society. In this paper, early warning indicators are used to predict the bifurcation points in the system. In the interaction of various sub-groups of society, each sub-group can have various parameters. Six cases of the sub-groups interactions are studied. By coupling these sub-groups, various dynamics of the whole society are investigated.
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spelling pubmed-72989312020-06-17 Prediction of bifurcations by varying critical parameters of COVID-19 Nazarimehr, Fahimeh Pham, Viet-Thanh Kapitaniak, Tomasz Nonlinear Dyn Original Paper Coronavirus disease 2019 is a recent strong challenge for the world. In this paper, an epidemiology model is investigated as a model for the development of COVID-19. The propagation of COVID-19 through various sub-groups of society is studied. Some critical parameters, such as the background of mortality without considering the disease state and the speed of moving people from infected to resistance, affect the conditions of society. In this paper, early warning indicators are used to predict the bifurcation points in the system. In the interaction of various sub-groups of society, each sub-group can have various parameters. Six cases of the sub-groups interactions are studied. By coupling these sub-groups, various dynamics of the whole society are investigated. Springer Netherlands 2020-06-16 2020 /pmc/articles/PMC7298931/ /pubmed/32836801 http://dx.doi.org/10.1007/s11071-020-05749-6 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Paper
Nazarimehr, Fahimeh
Pham, Viet-Thanh
Kapitaniak, Tomasz
Prediction of bifurcations by varying critical parameters of COVID-19
title Prediction of bifurcations by varying critical parameters of COVID-19
title_full Prediction of bifurcations by varying critical parameters of COVID-19
title_fullStr Prediction of bifurcations by varying critical parameters of COVID-19
title_full_unstemmed Prediction of bifurcations by varying critical parameters of COVID-19
title_short Prediction of bifurcations by varying critical parameters of COVID-19
title_sort prediction of bifurcations by varying critical parameters of covid-19
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298931/
https://www.ncbi.nlm.nih.gov/pubmed/32836801
http://dx.doi.org/10.1007/s11071-020-05749-6
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