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Mathematical modelling of the epidemiology of COVID-19 infection in Ghana

In this paper, Covid-19 patients with self-immunity is incorporated in the Susceptible-Exposed-Infected-Quarantined-Recovered [Formula: see text] model is applied to describe the epidemiology of Covid-19 infection in Ghana. Based on data on the epidemiology of the Covid-19 infection in Ghana, we obs...

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Autores principales: Barnes, Benedict, Ackora-Prah, Joseph, Boateng, Francis Ohene, Amanor, Leticia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier B.V. on behalf of African Institute of Mathematical Sciences / Next Einstein Initiative. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683386/
https://www.ncbi.nlm.nih.gov/pubmed/34961847
http://dx.doi.org/10.1016/j.sciaf.2021.e01070
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author Barnes, Benedict
Ackora-Prah, Joseph
Boateng, Francis Ohene
Amanor, Leticia
author_facet Barnes, Benedict
Ackora-Prah, Joseph
Boateng, Francis Ohene
Amanor, Leticia
author_sort Barnes, Benedict
collection PubMed
description In this paper, Covid-19 patients with self-immunity is incorporated in the Susceptible-Exposed-Infected-Quarantined-Recovered [Formula: see text] model is applied to describe the epidemiology of Covid-19 infection in Ghana. Based on data on the epidemiology of the Covid-19 infection in Ghana, we observed that, on an average, three persons contract the Covid-19 infection from an infected person daily based using the basic reproductive number ([Formula: see text]) derived from the SEIQR model. In addition, the threshold condition for the long term stability of the Covid-19 infection in Ghana is derived from this model. Based on the Dulac criterion, it was observed that for a long period of time the epidemiology of Covid-19 in Ghana will be under control. Again, we observed that both the transmission rate natural death rate of a person in the various classes mostly influence the spread of Covid-19 infection followed by the exposed rate from exposure class to the infected class, then the rate at which an infected person is quarantined and finally, the rate at an exposed person is quarantined. On the other hand, the rate at which an exposed person recovers from his/her have least influence on the spread of Covid-19 infection in the country. Nevertheless, the rates of birth, transmission of Covid-19 infection to a susceptible person, exposure to Covid-19 infection and Covid-19 patient who is quarantined by the facilities provided by the Ghana Health Service [Formula: see text] are in direct relationship with [Formula: see text]. However, the rates at which a quarantiner dies from a Covid-19 infection, an infected person dies from a Covid-19 infection, natural death from each class and the recoveries from an infected class, exposed class and quarantined class are in relationship with [Formula: see text].
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spelling pubmed-86833862021-12-20 Mathematical modelling of the epidemiology of COVID-19 infection in Ghana Barnes, Benedict Ackora-Prah, Joseph Boateng, Francis Ohene Amanor, Leticia Sci Afr Article In this paper, Covid-19 patients with self-immunity is incorporated in the Susceptible-Exposed-Infected-Quarantined-Recovered [Formula: see text] model is applied to describe the epidemiology of Covid-19 infection in Ghana. Based on data on the epidemiology of the Covid-19 infection in Ghana, we observed that, on an average, three persons contract the Covid-19 infection from an infected person daily based using the basic reproductive number ([Formula: see text]) derived from the SEIQR model. In addition, the threshold condition for the long term stability of the Covid-19 infection in Ghana is derived from this model. Based on the Dulac criterion, it was observed that for a long period of time the epidemiology of Covid-19 in Ghana will be under control. Again, we observed that both the transmission rate natural death rate of a person in the various classes mostly influence the spread of Covid-19 infection followed by the exposed rate from exposure class to the infected class, then the rate at which an infected person is quarantined and finally, the rate at an exposed person is quarantined. On the other hand, the rate at which an exposed person recovers from his/her have least influence on the spread of Covid-19 infection in the country. Nevertheless, the rates of birth, transmission of Covid-19 infection to a susceptible person, exposure to Covid-19 infection and Covid-19 patient who is quarantined by the facilities provided by the Ghana Health Service [Formula: see text] are in direct relationship with [Formula: see text]. However, the rates at which a quarantiner dies from a Covid-19 infection, an infected person dies from a Covid-19 infection, natural death from each class and the recoveries from an infected class, exposed class and quarantined class are in relationship with [Formula: see text]. The Authors. Published by Elsevier B.V. on behalf of African Institute of Mathematical Sciences / Next Einstein Initiative. 2022-03 2021-12-18 /pmc/articles/PMC8683386/ /pubmed/34961847 http://dx.doi.org/10.1016/j.sciaf.2021.e01070 Text en © 2022 The Authors. Published by Elsevier B.V. on behalf of African Institute of Mathematical Sciences / Next Einstein Initiative. 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
Barnes, Benedict
Ackora-Prah, Joseph
Boateng, Francis Ohene
Amanor, Leticia
Mathematical modelling of the epidemiology of COVID-19 infection in Ghana
title Mathematical modelling of the epidemiology of COVID-19 infection in Ghana
title_full Mathematical modelling of the epidemiology of COVID-19 infection in Ghana
title_fullStr Mathematical modelling of the epidemiology of COVID-19 infection in Ghana
title_full_unstemmed Mathematical modelling of the epidemiology of COVID-19 infection in Ghana
title_short Mathematical modelling of the epidemiology of COVID-19 infection in Ghana
title_sort mathematical modelling of the epidemiology of covid-19 infection in ghana
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683386/
https://www.ncbi.nlm.nih.gov/pubmed/34961847
http://dx.doi.org/10.1016/j.sciaf.2021.e01070
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