ArticleAnnual reviews in control2020
In-host Mathematical Modelling of COVID-19 in Humans.
Article in Annual reviews in control, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.
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Who cites it
93 citing papers in PubMed, 240 citations in OpenAlex.
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- A hybrid framework for compartmental models enabling simulation-based inference.Journal of mathematical biology · 2026Article
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- Random time-shift approximation enables hierarchical Bayesian inference of mechanistic within-host viral dynamics models on large datasets.PLoS computational biology · 2025Article
- Should public health policy exempt cases with low viral load from isolation during an epidemic?: a modelling study.Infectious Disease Modelling · 2025Article
- Temporal Dynamics of SARS-CoV-2 Detection in Household Contacts: Divergences Between Time to First Positive Test, Symptom Onset, and Maximum Viral Load.Infectious diseases and therapy · 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
- Multi-objective control to schedule therapies for acute viral infections.Journal of mathematical biology · 2025Article
- Prevalence Estimation Methods for Time-Dependent Antibody Kinetics of Infected and Vaccinated Individuals: A Markov Chain Approach.Bulletin of mathematical biology · 2025Article
- A biomathematical model of SARS-CoV-2 in Syrian hamsters.Scientific reports · 2024Article
- Relationship between COVID-19 Cases and Environmental Contaminants in Quito, Ecuador.International journal of environmental research and public health · 2024Article
- Probability of early infection extinction depends linearly on the virus clearance rate.Royal Society open science · 2024Article
- Development of a SARS-CoV-2 viral dynamic model for patients with COVID-19 based on the amount of viral RNA and viral titer.CPT: pharmacometrics & systems pharmacology · 2024Article
- Incorporating Intracellular Processes in Virus Dynamics Models.Microorganisms · 2024Review
- Review
- Modeling the emergence of viral resistance for SARS-CoV-2 during treatment with an anti-spike monoclonal antibody.PLoS pathogens · 2024Article
- How robust are estimates of key parameters in standard viral dynamic models?PLoS computational biology · 2024Article
- Confinement tonicity on epidemic spreading.Journal of mathematical biology · 2024Article
- Mathematical model explains differences in Omicron and Delta SARS-CoV-2 dynamics in Caco-2 and Calu-3 cells.PeerJ · 2024Article
- Vaccine and antiviral drug promise for preventing post-acute sequelae of COVID-19, and their combination for its treatment.Frontiers in immunology · 2024Article
33 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
COVID-19 pandemic has underlined the impact of emergent pathogens as a major threat to human health. The development of quantitative approaches to advance comprehension of the current outbreak is urgently needed to tackle this severe disease. Considering different starting times of infection, mathematical models are proposed to represent SARS-CoV-2 dynamics in infected patients. Based on the target cell limited model, the within-host reproductive number for SARS-CoV-2 is consistent with the broad values of human influenza infection. The best model to fit the data was including immune cell response, which suggests a slow immune response peaking between 5 to 10 days post-onset of symptoms. The model with the eclipse phase, time in a latent phase before becoming productively infected cells, was not supported. Interestingly, model simulations predict that SARS-CoV-2 may replicate very slowly in the first days after infection, and viral load could be below detection levels during the first 4 days post infection. A quantitative comprehension of SARS-CoV-2 dynamics and the estimation of standard parameters of viral infections is the key contribution of this pioneering work. These models can serve for future evaluation of control theoretical approaches to tailor new drugs against COVID-19.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.