ArticleScientific reports2022
Identifiability of parameters in mathematical models of SARS-CoV-2 infections in humans.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- A Practical Identifiability Criterion Leveraging Weak-Form Parameter Estimation.Bulletin of mathematical biology · 2026Article
- Ordinary differential equation models of SARS-CoV-2 replication dynamics and antiviral drug efficacies.Npj viruses · 2026Review
- The eight pillars of within-host tuberculosis modelling.Frontiers in immunology · 2026Review
- Structural and practical identifiability of within-host models of virus dynamics - a review.Current opinion in systems biology · 2025Article
- Random time-shift approximation enables hierarchical Bayesian inference of mechanistic within-host viral dynamics models on large datasets.PLoS computational biology · 2025Article
- Article
- Logic-based modeling of inflammatory macrophage cross talk with glomerular endothelial cells in diabetic kidney disease.American journal of physiology. Renal physiology · 2025Article
- Introducing a framework for within-host dynamics and mutations modelling of H5N1 influenza infection in humans.Journal of the Royal Society, Interface · 2025Article
- Post-recovery viral shedding shapes wastewater-based epidemiological inferences.Communications medicine · 2025Article
- Modeling suggests SARS-CoV-2 rebound after nirmatrelvir-ritonavir treatment is driven by target cell preservation coupled with incomplete viral clearance.Journal of virology · 2025Article
- The kinetics of SARS-CoV-2 infection based on a human challenge study.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Identifiability investigation of within-host models of acute virus infection.Mathematical biosciences and engineering : MBE · 2024Article
- Understanding antibody magnitude and durability following vaccination against SARS-CoV-2.Mathematical biosciences · 2024Article
- Modeling suggests SARS-CoV-2 rebound after nirmatrelvir-ritonavir treatment is driven by target cell preservation coupled with incomplete viral clearance.bioRxiv : the preprint server for biology · 2024Article
- Identifiability investigation of within-host models of acute virus infection.bioRxiv : the preprint server for biology · 2024Article
- Incorporating Intracellular Processes in Virus Dynamics Models.Microorganisms · 2024Review
- How robust are estimates of key parameters in standard viral dynamic models?PLoS computational biology · 2024Article
- Modeling the emergence of viral resistance for SARS-CoV-2 during treatment with an anti-spike monoclonal antibody.PLoS pathogens · 2024Article
- The effect of model structure and data availability on Usutu virus dynamics at three biological scales.Royal Society open science · 2024Article
- Within-host evolution of SARS-CoV-2: how often areVirus evolution · 2024Article
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2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Determining accurate estimates for the characteristics of the severe acute respiratory syndrome coronavirus 2 in the upper and lower respiratory tracts, by fitting mathematical models to data, is made difficult by the lack of measurements early in the infection. To determine the sensitivity of the parameter estimates to the noise in the data, we developed a novel two-patch within-host mathematical model that considered the infection of both respiratory tracts and assumed that the viral load in the lower respiratory tract decays in a density dependent manner and investigated its ability to match population level data. We proposed several approaches that can improve practical identifiability of parameters, including an optimal experimental approach, and found that availability of viral data early in the infection is of essence for improving the accuracy of the estimates. Our findings can be useful for designing interventions.
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