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- Title
Modeling the Within-Host Dynamics of SARS-CoV-2 Infection Based on Antiviral Treatment.
- Authors
Song, Tianqi; Wang, Yishi; Gu, Xi; Qiao, Sijia
- Abstract
The COVID-19 pandemic has highlighted the profound impact of the SARS-CoV-2 virus as a significant threat to human health. There is an urgent need to develop a comprehensive understanding of the current outbreak by studying the dynamics of the virus within the human body. In this research, we present a mathematical model that explores the progression of SARS-CoV-2 infection, taking into account both the innate and adaptive immune responses. We calculated the basic reproduction number and analyzed the stability of the equilibria. Additionally, we demonstrated the existence of a periodic solution through numerical simulations. By conducting a global sensitivity analysis, we determined the significance of the model parameters and investigated the influence of key parameters on viral load. The results emphasized the crucial roles of cytokines and antibodies in shaping the dynamics of SARS-CoV-2. Furthermore, we evaluated the effectiveness of antiviral treatment in controlling the dynamics of SARS-CoV-2 infection. Our findings revealed a direct relationship between the basic reproduction number and the impact of antiviral treatment. To evaluate the effect of antiviral treatment on viral load, we conducted numerical simulations.
- Subjects
BASIC reproduction number; SARS-CoV-2; ANTIVIRAL agents; VIRAL load; COVID-19 pandemic; PHASE coding; HUMAN body
- Publication
Mathematics (2227-7390), 2023, Vol 11, Issue 16, p3485
- ISSN
2227-7390
- Publication type
Article
- DOI
10.3390/math11163485