Enhancing viral dynamics modeling: reliable initial estimation and validity conditions for quasi-steady state approximation (QSSA)
This work resolves a key flaw in existing QSSA models, enabling more accurate and consistent modeling of viral dynamics. By correcting the infected cell loss issue, our findings provide a robust framework for virological applications, particularly useful when experimental data are limited.
Authors
- Yong Dam Jeong (ORCID: https://orcid.org/0000-0002-3970-7690)
- Shingo Iwami (ORCID: https://orcid.org/0000-0002-1780-350X)
- Kwang Su Kim
- Il Hyo Jung (ORCID: https://orcid.org/0000-0002-6086-5124)
- Jong Hyuk Byun (ORCID: https://orcid.org/0000-0001-6334-8176)
Institutions
- Pusan National University (KR)
- Nagoya University (JP)
- Pukyong National University (KR)
Publication Details
- Journal
- BMC Biology
- Published
- 2025-10-23
- DOI
- https://doi.org/10.1186/s12915-025-02354-0
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research Foundation
- Pukyong National University
- National Research Foundation of Korea
- Ministry of Science and ICT, South Korea
- JST-Mirai Program
- Moonshot Research and Development Program