ArticleComputer methods and programs in biomedicine2021
Computational simulations to dissect the cell immune response dynamics for severe and critical cases of SARS-CoV-2 infection.
Article in Computer methods and programs in biomedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- How robust are estimates of key parameters in standard viral dynamic models?PLoS computational biology · 2024Article
- Ensemble modeling of SARS-CoV-2 immune dynamics in immunologically naïve rhesus macaques predicts that potent, early innate immune responses drive viral elimination.Frontiers in immunology · 2024Article
- Topological data analysis of antibody dynamics of severe and non-severe patients with COVID-19.Mathematical biosciences · 2023Article
- Stability of a delayed SARS-CoV-2 reactivation model with logistic growth and adaptive immune response.Physica A · 2023Article
- A quantitative systems pharmacology model of the pathophysiology and treatment of COVID-19 predicts optimal timing of pharmacological interventions.NPJ systems biology and applications · 2023Article
- Characterizing viral within-host diversity in fast and non-equilibrium demo-genetic dynamics.Frontiers in microbiology · 2022Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCOVID-19 is a global pandemic leading to high death tolls worldwide day by day. Clinical evidence suggests that COVID-19 patients can be classified as non-severe, severe, and critical cases. In particular, studies have highlighted the relationship between lymphopenia and the severity of the illness, where CD8
objectivesIn this work, we aim to elucidate the key parameters that define the course of the disease deviating from severe to critical cases. The dynamics of different immune cells are taken into account in mechanistic models to elucidate those that contribute to the worsening of the disease.
methodsSeveral mathematical models based on ordinary differential equations are proposed to represent data sets of different immune response cells dynamics such as CD8
resultsThe mathematical model that represents the data more appropriately is considering CD8
conclusionsOur computational results highlight that a low viral clearance rate by CD8
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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 Socratic graph.