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A dynamical study of SARS-COV-2: A study of third wave
The coronavirus still an epidemic in most countries of the world and put the people in danger with so many infected cases and death. Considering the third wave of corona virus infection and to determine the peak of the infection curve, we suggest a new mathematical model with reported cases from Mar...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8380310/ https://www.ncbi.nlm.nih.gov/pubmed/34458083 http://dx.doi.org/10.1016/j.rinp.2021.104705 |
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author | Li, Xiao-Ping Wang, Ye Khan, Muhammad Altaf Alshahrani, Mohammad Y. Muhammad, Taseer |
author_facet | Li, Xiao-Ping Wang, Ye Khan, Muhammad Altaf Alshahrani, Mohammad Y. Muhammad, Taseer |
author_sort | Li, Xiao-Ping |
collection | PubMed |
description | The coronavirus still an epidemic in most countries of the world and put the people in danger with so many infected cases and death. Considering the third wave of corona virus infection and to determine the peak of the infection curve, we suggest a new mathematical model with reported cases from March 06, 2021, till April 30, 2021. The model provides an accurate fitting to the suggested data, and the basic reproduction number calculated to be [Formula: see text]. We study the stability of the model and show that the model is locally as well as globally asymptotically stable when [Formula: see text] , for the disease free case. The parameters that are sensitive to the basic reproduction number, their effect on the model variables are shown graphically. We can observe that the suggested parameters can decrease efficiently the infection cases of the third wave in Pakistan. Further, our model suggests that the infection peak is to be May 06, 2021. The present results determine that the model can be useful in order to predict other countries data. |
format | Online Article Text |
id | pubmed-8380310 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Authors. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83803102021-08-23 A dynamical study of SARS-COV-2: A study of third wave Li, Xiao-Ping Wang, Ye Khan, Muhammad Altaf Alshahrani, Mohammad Y. Muhammad, Taseer Results Phys Article The coronavirus still an epidemic in most countries of the world and put the people in danger with so many infected cases and death. Considering the third wave of corona virus infection and to determine the peak of the infection curve, we suggest a new mathematical model with reported cases from March 06, 2021, till April 30, 2021. The model provides an accurate fitting to the suggested data, and the basic reproduction number calculated to be [Formula: see text]. We study the stability of the model and show that the model is locally as well as globally asymptotically stable when [Formula: see text] , for the disease free case. The parameters that are sensitive to the basic reproduction number, their effect on the model variables are shown graphically. We can observe that the suggested parameters can decrease efficiently the infection cases of the third wave in Pakistan. Further, our model suggests that the infection peak is to be May 06, 2021. The present results determine that the model can be useful in order to predict other countries data. The Authors. Published by Elsevier B.V. 2021-10 2021-08-22 /pmc/articles/PMC8380310/ /pubmed/34458083 http://dx.doi.org/10.1016/j.rinp.2021.104705 Text en © 2021 The Authors 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 Li, Xiao-Ping Wang, Ye Khan, Muhammad Altaf Alshahrani, Mohammad Y. Muhammad, Taseer A dynamical study of SARS-COV-2: A study of third wave |
title | A dynamical study of SARS-COV-2: A study of third wave |
title_full | A dynamical study of SARS-COV-2: A study of third wave |
title_fullStr | A dynamical study of SARS-COV-2: A study of third wave |
title_full_unstemmed | A dynamical study of SARS-COV-2: A study of third wave |
title_short | A dynamical study of SARS-COV-2: A study of third wave |
title_sort | dynamical study of sars-cov-2: a study of third wave |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8380310/ https://www.ncbi.nlm.nih.gov/pubmed/34458083 http://dx.doi.org/10.1016/j.rinp.2021.104705 |
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