ArticleJournal of theoretical biology2023
Multiple cohort study of hospitalized SARS-CoV-2 in-host infection dynamics: Parameter estimates, identifiability, sensitivity and the eclipse phase profile.
Article in Journal of theoretical biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Ordinary differential equation models of SARS-CoV-2 replication dynamics and antiviral drug efficacies.Npj viruses · 2026Review
- Modeling of longitudinal immune profiles reveals distinct immunogenic signatures following five COVID-19 vaccinations among people living with HIV.Patterns (New York, N.Y.) · 2026Article
- SARS-CoV-2 booster vaccine dose significantly extends humoral immune response half-life beyond the primary series.Scientific reports · 2024Article
- How robust are estimates of key parameters in standard viral dynamic models?PLoS computational biology · 2024Article
- Within-host evolution of SARS-CoV-2: how often areVirus evolution · 2024Article
- Monkeypox: a review of epidemiological modelling studies and how modelling has led to mechanistic insight.Epidemiology and infection · 2023Review
- Long-term durability of immune responses to the BNT162b2 and mRNA-1273 vaccines based on dosage, age and sex.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Within-host SARS-CoV-2 modelling studies have been published throughout the COVID-19 pandemic. These studies contain highly variable numbers of individuals and capture varying timescales of pathogen dynamics; some studies capture the time of disease onset, the peak viral load and subsequent heterogeneity in clearance dynamics across individuals, while others capture late-time post-peak dynamics. In this study, we curate multiple previously published SARS-CoV-2 viral load data sets, fit these data with a consistent modelling approach, and estimate the variability of in-host parameters including the basic reproduction number, R
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