Cargando…

A Mathematical Modeling Analysis of Racism and Corruption Codynamics with Numerical Simulation as Infectious Diseases

Racism and corruption are mind infections which affect almost all public and governmental sectors. However, we cannot find enough published literatures on mathematical model analyses of racism and corruption coexistence. In this study, we have contemplated the dynamics of racism and corruption coexi...

Descripción completa

Detalles Bibliográficos
Autores principales: Kotola, Belela Samuel, Teklu, Shewafera Wondimagegnhu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388269/
https://www.ncbi.nlm.nih.gov/pubmed/35991135
http://dx.doi.org/10.1155/2022/9977727
_version_ 1784770188818776064
author Kotola, Belela Samuel
Teklu, Shewafera Wondimagegnhu
author_facet Kotola, Belela Samuel
Teklu, Shewafera Wondimagegnhu
author_sort Kotola, Belela Samuel
collection PubMed
description Racism and corruption are mind infections which affect almost all public and governmental sectors. However, we cannot find enough published literatures on mathematical model analyses of racism and corruption coexistence. In this study, we have contemplated the dynamics of racism and corruption coexistence in communities, using deterministic compartmental model to analyze and suggest proper control strategies to stakeholders. We used qualitative and comprehensive mathematical methods and analyzed both the racism model in the absence of corruption and the corruption model in the absence of racism. We have computed basic reproduction numbers by applying the next generation matrix method. The developed model has a disease-free equilibrium point that is locally asymptotically stable whenever the reproduction number is less than one. Additionally, we have done sensitivity analysis to observe the effect of the parameters on the incidence and transmission of the mind infections that deduce the transmission rates of both the racism and corruption are highly sensitive. The numerical simulation we have simulated showed that the endemic equilibrium point of racism and corruption coexistence model is locally asymptotically stable when max{ ℛ(r), ℛ(c)} > 1, the effects of parameters on the basic reproduction numbers, and the effect of parameter on the infectious groups. Finally, the stakeholders must focus on minimizing the transmission rates and increasing the recovery (removed) rate for both racism and corruption action which can be considered prevention and controlling strategies.
format Online
Article
Text
id pubmed-9388269
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-93882692022-08-19 A Mathematical Modeling Analysis of Racism and Corruption Codynamics with Numerical Simulation as Infectious Diseases Kotola, Belela Samuel Teklu, Shewafera Wondimagegnhu Comput Math Methods Med Research Article Racism and corruption are mind infections which affect almost all public and governmental sectors. However, we cannot find enough published literatures on mathematical model analyses of racism and corruption coexistence. In this study, we have contemplated the dynamics of racism and corruption coexistence in communities, using deterministic compartmental model to analyze and suggest proper control strategies to stakeholders. We used qualitative and comprehensive mathematical methods and analyzed both the racism model in the absence of corruption and the corruption model in the absence of racism. We have computed basic reproduction numbers by applying the next generation matrix method. The developed model has a disease-free equilibrium point that is locally asymptotically stable whenever the reproduction number is less than one. Additionally, we have done sensitivity analysis to observe the effect of the parameters on the incidence and transmission of the mind infections that deduce the transmission rates of both the racism and corruption are highly sensitive. The numerical simulation we have simulated showed that the endemic equilibrium point of racism and corruption coexistence model is locally asymptotically stable when max{ ℛ(r), ℛ(c)} > 1, the effects of parameters on the basic reproduction numbers, and the effect of parameter on the infectious groups. Finally, the stakeholders must focus on minimizing the transmission rates and increasing the recovery (removed) rate for both racism and corruption action which can be considered prevention and controlling strategies. Hindawi 2022-08-11 /pmc/articles/PMC9388269/ /pubmed/35991135 http://dx.doi.org/10.1155/2022/9977727 Text en Copyright © 2022 Belela Samuel Kotola and Shewafera Wondimagegnhu Teklu. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Kotola, Belela Samuel
Teklu, Shewafera Wondimagegnhu
A Mathematical Modeling Analysis of Racism and Corruption Codynamics with Numerical Simulation as Infectious Diseases
title A Mathematical Modeling Analysis of Racism and Corruption Codynamics with Numerical Simulation as Infectious Diseases
title_full A Mathematical Modeling Analysis of Racism and Corruption Codynamics with Numerical Simulation as Infectious Diseases
title_fullStr A Mathematical Modeling Analysis of Racism and Corruption Codynamics with Numerical Simulation as Infectious Diseases
title_full_unstemmed A Mathematical Modeling Analysis of Racism and Corruption Codynamics with Numerical Simulation as Infectious Diseases
title_short A Mathematical Modeling Analysis of Racism and Corruption Codynamics with Numerical Simulation as Infectious Diseases
title_sort mathematical modeling analysis of racism and corruption codynamics with numerical simulation as infectious diseases
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388269/
https://www.ncbi.nlm.nih.gov/pubmed/35991135
http://dx.doi.org/10.1155/2022/9977727
work_keys_str_mv AT kotolabelelasamuel amathematicalmodelinganalysisofracismandcorruptioncodynamicswithnumericalsimulationasinfectiousdiseases
AT teklushewaferawondimagegnhu amathematicalmodelinganalysisofracismandcorruptioncodynamicswithnumericalsimulationasinfectiousdiseases
AT kotolabelelasamuel mathematicalmodelinganalysisofracismandcorruptioncodynamicswithnumericalsimulationasinfectiousdiseases
AT teklushewaferawondimagegnhu mathematicalmodelinganalysisofracismandcorruptioncodynamicswithnumericalsimulationasinfectiousdiseases