Ordinary differential equation models of SARS-CoV-2 replication dynamics and antiviral drug efficacies

There is a critical need for precise analysis of virus-host interactions to improve our understanding of infection processes. The integration of quantitative measurements with dynamic mathematical modeling has changed how we perceive cellular infection processes, offering profound insights into how viruses function at the cellular level. Here, we systematically review target cell-limited (TCL) ordinary differential equation (ODE) models related to SARS-CoV-2. We examine the spectrum of available models from basic TCL frameworks to more complex models incorporating antiviral treatments-and highlight key findings, discuss strengths and limitations, and identify a shortage of comprehensive datasets, emphasizing structural identifiability issues.

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Publication Details

Journal
npj Viruses
Published
2026-03-13
DOI
https://doi.org/10.1038/s44298-026-00183-8
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Ordinary differential equation models of SARS-CoV-2 replication dynamics and antiviral drug efficacies

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SARS-CoV-2 and COVID-19 Research
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Ordinary differential equation models of SARS-CoV-2 replication dynamics and antiviral drug efficacies

Luca D. Bertzbach, Lars Kaderali, Stephanie Pfaender, Simon T. Herrmann, Timon Kapischke
article en

Abstract

There is a critical need for precise analysis of virus-host interactions to improve our understanding of infection processes. The integration of quantitative measurements with dynamic mathematical modeling has changed how we perceive cellular infection processes, offering profound insights into how viruses function at the cellular level. Here, we systematically review target cell-limited (TCL) ordinary differential equation (ODE) models related to SARS-CoV-2. We examine the spectrum of available models from basic TCL frameworks to more complex models incorporating antiviral treatments-and highlight key findings, discuss strengths and limitations, and identify a shortage of comprehensive datasets, emphasizing structural identifiability issues.

npj VirusesVol. 4(1)
Leibniz Institute of Virology (LIV) (DE), Universitätsmedizin Greifswald (DE), Universität Greifswald (DE), University of Lübeck (DE)
European Commission, Deutsche Forschungsgemeinschaft, Universität Greifswald, HORIZON EUROPE Framework Programme
Good health and well-being
Openalex Percentile: Top 26%
SARS-CoV-2 and COVID-19 Research
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