A mathematical model for the within-host (re)infection dynamics of SARS-CoV-2
Schuh L, Markov PV, Veliov VM, Stilianakis NI (2024)
Publication Type: Journal article
Publication year: 2024
Journal
Book Volume: 371
Article Number: 109178
DOI: 10.1016/j.mbs.2024.109178
Abstract
Interactions between SARS-CoV-2 and the immune system during infection are complex. However, understanding the within-host SARS-CoV-2 dynamics is of enormous importance for clinical and public health outcomes. Current mathematical models focus on describing the within-host SARS-CoV-2 dynamics during the acute infection phase. Thereby they ignore important long-term post-acute infection effects. We present a mathematical model, which not only describes the SARS-CoV-2 infection dynamics during the acute infection phase, but extends current approaches by also recapitulating clinically observed long-term post-acute infection effects, such as the recovery of the number of susceptible epithelial cells to an initial pre-infection homeostatic level, a permanent and full clearance of the infection within the individual, immune waning, and the formation of long-term immune capacity levels after infection. Finally, we used our model and its description of the long-term post-acute infection dynamics to explore reinfection scenarios differentiating between distinct variant-specific properties of the reinfecting virus. Together, the model's ability to describe not only the acute but also the long-term post-acute infection dynamics provides a more realistic description of key outcomes and allows for its application in clinical and public health scenarios.
Involved external institutions
European Commission - Joint Research Centre (JRC)
Netherlands (NL)
Technische Universität Wien / Vienna University of Technology
Austria (AT)
Netherlands (NL)
Technische Universität Wien / Vienna University of Technology
Austria (AT)
How to cite
APA:
Schuh, L., Markov, P.V., Veliov, V.M., & Stilianakis, N.I. (2024). A mathematical model for the within-host (re)infection dynamics of SARS-CoV-2. Mathematical Biosciences, 371. https://dx.doi.org/10.1016/j.mbs.2024.109178
MLA:
Schuh, Lea, et al. "A mathematical model for the within-host (re)infection dynamics of SARS-CoV-2." Mathematical Biosciences 371 (2024).
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