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Threshold conditions for global stability of disease free state of COVID-19

This article focus the elimination and control of the infection caused by COVID-19. Mathematical model of the disease is formulated. With help of sensitivity analysis of the reproduction number the most sensitive parameters regarding transmission of infection are found. Consequently strategies for t...

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Autores principales: Zamir, Muhammad, Shah, Kamal, Nadeem, Fawad, Bajuri, Mohd Yazid, Ahmadian, Ali, Salahshour, Soheil, Ferrara, Massimiliano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9673815/
https://www.ncbi.nlm.nih.gov/pubmed/36465528
http://dx.doi.org/10.1016/j.rinp.2020.103784
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author Zamir, Muhammad
Shah, Kamal
Nadeem, Fawad
Bajuri, Mohd Yazid
Ahmadian, Ali
Salahshour, Soheil
Ferrara, Massimiliano
author_facet Zamir, Muhammad
Shah, Kamal
Nadeem, Fawad
Bajuri, Mohd Yazid
Ahmadian, Ali
Salahshour, Soheil
Ferrara, Massimiliano
author_sort Zamir, Muhammad
collection PubMed
description This article focus the elimination and control of the infection caused by COVID-19. Mathematical model of the disease is formulated. With help of sensitivity analysis of the reproduction number the most sensitive parameters regarding transmission of infection are found. Consequently strategies for the control of infection are proposed. Threshold condition for global stability of the disease free state is investigated. Finally, using Matlab numerical simulations are produced for validation of theocratical results.
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spelling pubmed-96738152022-11-28 Threshold conditions for global stability of disease free state of COVID-19 Zamir, Muhammad Shah, Kamal Nadeem, Fawad Bajuri, Mohd Yazid Ahmadian, Ali Salahshour, Soheil Ferrara, Massimiliano Results Phys Article This article focus the elimination and control of the infection caused by COVID-19. Mathematical model of the disease is formulated. With help of sensitivity analysis of the reproduction number the most sensitive parameters regarding transmission of infection are found. Consequently strategies for the control of infection are proposed. Threshold condition for global stability of the disease free state is investigated. Finally, using Matlab numerical simulations are produced for validation of theocratical results. The Author(s). Published by Elsevier B.V. 2021-02 2021-01-06 /pmc/articles/PMC9673815/ /pubmed/36465528 http://dx.doi.org/10.1016/j.rinp.2020.103784 Text en © 2021 The Author(s) 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
Zamir, Muhammad
Shah, Kamal
Nadeem, Fawad
Bajuri, Mohd Yazid
Ahmadian, Ali
Salahshour, Soheil
Ferrara, Massimiliano
Threshold conditions for global stability of disease free state of COVID-19
title Threshold conditions for global stability of disease free state of COVID-19
title_full Threshold conditions for global stability of disease free state of COVID-19
title_fullStr Threshold conditions for global stability of disease free state of COVID-19
title_full_unstemmed Threshold conditions for global stability of disease free state of COVID-19
title_short Threshold conditions for global stability of disease free state of COVID-19
title_sort threshold conditions for global stability of disease free state of covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9673815/
https://www.ncbi.nlm.nih.gov/pubmed/36465528
http://dx.doi.org/10.1016/j.rinp.2020.103784
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