Modeling HIV-1 dynamics and fitness in cell culture across scales

DOI10.1007/s11538-013-9926-2zbMath1297.92047OpenAlexW2069018992WikidataQ42238101 ScholiaQ42238101MaRDI QIDQ458687

Taina Immonen, Daniela Calvetti, Erkki Somersalo

Publication date: 8 October 2014

Published in: Bulletin of Mathematical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11538-013-9926-2

zbMATH Keywords

computational modelMarkov chain Monte Carlo methodsHIV-1 dynamics and fitness

Mathematics Subject Classification ID

Qualitative investigation and simulation of ordinary differential equation models (34C60) Medical epidemiology (92C60)

Related Items (1)

Beyond the Model Limit: Parameter Inference Across Scales

Cites Work

• A hybrid stochastic-deterministic computational model accurately describes spatial dynamics and virus diffusion in HIV-1 growth competition assay
• Spatial models of virus-immune dynamics
• Global phase time and wave function for the Kantowski-Sachs anisotropic universe
• Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission
• Probing the effects of the well-mixed assumption on viral infection dynamics
• Host-parasite interactions between the local and the mean-field: how and when does spatial population structure matter?
• Modeling and estimation of kinetic parameters and replicative fitness of HIV-1 from flow-cytometry-based growth competition experiments
• A hierarchical Bayesian approach for parameter estimation in HIV models
• Large‐Scale Statistical Parameter Estimation in Complex Systems with an Application to Metabolic Models
• Introduction to Bayesian Scientific Computing
• An adaptive Metropolis algorithm

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