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Modeling the dynamic of COVID-19 with different types of transmissions
In this paper, we propose a new epidemiological mathematical model for the spread of the COVID-19 disease with a special focus on the transmissibility of individuals with severe symptoms, mild symptoms, and asymptomatic symptoms. We compute the basic reproduction number and we study the local stabil...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8214201/ https://www.ncbi.nlm.nih.gov/pubmed/34183873 http://dx.doi.org/10.1016/j.chaos.2021.111188 |
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author | Amouch, Mohamed Karim, Noureddine |
author_facet | Amouch, Mohamed Karim, Noureddine |
author_sort | Amouch, Mohamed |
collection | PubMed |
description | In this paper, we propose a new epidemiological mathematical model for the spread of the COVID-19 disease with a special focus on the transmissibility of individuals with severe symptoms, mild symptoms, and asymptomatic symptoms. We compute the basic reproduction number and we study the local stability of the disease-free equilibrium in terms of the basic reproduction number. Numerical simulations were employed to illustrate our results. Furthermore, we study the present model in case we took into consideration the vaccination of a portion of susceptible individuals to predict the impact of the vaccination program. |
format | Online Article Text |
id | pubmed-8214201 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82142012021-06-21 Modeling the dynamic of COVID-19 with different types of transmissions Amouch, Mohamed Karim, Noureddine Chaos Solitons Fractals Article In this paper, we propose a new epidemiological mathematical model for the spread of the COVID-19 disease with a special focus on the transmissibility of individuals with severe symptoms, mild symptoms, and asymptomatic symptoms. We compute the basic reproduction number and we study the local stability of the disease-free equilibrium in terms of the basic reproduction number. Numerical simulations were employed to illustrate our results. Furthermore, we study the present model in case we took into consideration the vaccination of a portion of susceptible individuals to predict the impact of the vaccination program. Elsevier Ltd. 2021-09 2021-06-19 /pmc/articles/PMC8214201/ /pubmed/34183873 http://dx.doi.org/10.1016/j.chaos.2021.111188 Text en © 2021 Elsevier Ltd. All rights reserved. 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 Amouch, Mohamed Karim, Noureddine Modeling the dynamic of COVID-19 with different types of transmissions |
title | Modeling the dynamic of COVID-19 with different types of transmissions |
title_full | Modeling the dynamic of COVID-19 with different types of transmissions |
title_fullStr | Modeling the dynamic of COVID-19 with different types of transmissions |
title_full_unstemmed | Modeling the dynamic of COVID-19 with different types of transmissions |
title_short | Modeling the dynamic of COVID-19 with different types of transmissions |
title_sort | modeling the dynamic of covid-19 with different types of transmissions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8214201/ https://www.ncbi.nlm.nih.gov/pubmed/34183873 http://dx.doi.org/10.1016/j.chaos.2021.111188 |
work_keys_str_mv | AT amouchmohamed modelingthedynamicofcovid19withdifferenttypesoftransmissions AT karimnoureddine modelingthedynamicofcovid19withdifferenttypesoftransmissions |