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Viral kinetics, stability and sensitivity analysis of the within-host COVID-19 model
This paper delves into the investigation of the COVID-19 dynamics within a host using the Target-Latent-Infected-Virus (TLIV) model, presenting a fresh approach compared to previous studies. Our model introduces a latent class and explores sensitivity analysis, aspects that have received limited att...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10356809/ https://www.ncbi.nlm.nih.gov/pubmed/37468601 http://dx.doi.org/10.1038/s41598-023-38705-6 |
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author | Elbaz, Islam M. El-Metwally, H. Sohaly, M. A. |
author_facet | Elbaz, Islam M. El-Metwally, H. Sohaly, M. A. |
author_sort | Elbaz, Islam M. |
collection | PubMed |
description | This paper delves into the investigation of the COVID-19 dynamics within a host using the Target-Latent-Infected-Virus (TLIV) model, presenting a fresh approach compared to previous studies. Our model introduces a latent class and explores sensitivity analysis, aspects that have received limited attention in prior research. A significant contribution of this study is the analysis of both local and global stability of equilibrium states, subject to specific sufficient conditions based on the basic reproduction number [Formula: see text] . By examining these stability properties, we aim to gain insights into the factors underlying variations observed in the findings of different studies. Additionally, we identify the death rate of infected cells as the parameter most susceptible to influence in our model. To minimize its impact and facilitate recovery, it is crucial to implement appropriate medical therapies and consume immune-boosting foods. Some computer simulations are carried out to strengthen the theoretical results. |
format | Online Article Text |
id | pubmed-10356809 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-103568092023-07-21 Viral kinetics, stability and sensitivity analysis of the within-host COVID-19 model Elbaz, Islam M. El-Metwally, H. Sohaly, M. A. Sci Rep Article This paper delves into the investigation of the COVID-19 dynamics within a host using the Target-Latent-Infected-Virus (TLIV) model, presenting a fresh approach compared to previous studies. Our model introduces a latent class and explores sensitivity analysis, aspects that have received limited attention in prior research. A significant contribution of this study is the analysis of both local and global stability of equilibrium states, subject to specific sufficient conditions based on the basic reproduction number [Formula: see text] . By examining these stability properties, we aim to gain insights into the factors underlying variations observed in the findings of different studies. Additionally, we identify the death rate of infected cells as the parameter most susceptible to influence in our model. To minimize its impact and facilitate recovery, it is crucial to implement appropriate medical therapies and consume immune-boosting foods. Some computer simulations are carried out to strengthen the theoretical results. Nature Publishing Group UK 2023-07-19 /pmc/articles/PMC10356809/ /pubmed/37468601 http://dx.doi.org/10.1038/s41598-023-38705-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Elbaz, Islam M. El-Metwally, H. Sohaly, M. A. Viral kinetics, stability and sensitivity analysis of the within-host COVID-19 model |
title | Viral kinetics, stability and sensitivity analysis of the within-host COVID-19 model |
title_full | Viral kinetics, stability and sensitivity analysis of the within-host COVID-19 model |
title_fullStr | Viral kinetics, stability and sensitivity analysis of the within-host COVID-19 model |
title_full_unstemmed | Viral kinetics, stability and sensitivity analysis of the within-host COVID-19 model |
title_short | Viral kinetics, stability and sensitivity analysis of the within-host COVID-19 model |
title_sort | viral kinetics, stability and sensitivity analysis of the within-host covid-19 model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10356809/ https://www.ncbi.nlm.nih.gov/pubmed/37468601 http://dx.doi.org/10.1038/s41598-023-38705-6 |
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