A hybrid stochastic-deterministic computational model accurately describes spatial dynamics and virus diffusion in HIV-1 growth competition assay

DOI10.1016/j.jtbi.2012.07.005zbMath1337.92129OpenAlexW2093788843WikidataQ45356099 ScholiaQ45356099MaRDI QIDQ293801

F. Blanchet-Sadri, M. Dambrine

Publication date: 9 June 2016

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2012.07.005

zbMATH Keywords

Markov modelmathematical modelcellular automatonHIV-1 fitnessspatial inhomogeneity

Mathematics Subject Classification ID

Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Medical epidemiology (92C60) Computational methods for problems pertaining to biology (92-08)

Related Items (4)

Asymptotic behaviors of a cell-to-cell HIV-1 infection model perturbed by white noise ⋮ Dynamics of a stochastic cell-to-cell HIV-1 model with distributed delay ⋮ Modeling HIV-1 dynamics and fitness in cell culture across scales ⋮ Beyond the Model Limit: Parameter Inference Across Scales

Cites Work

• A simple cellular automaton model for influenza A viral infections
• Spatial models of virus-immune dynamics
• Incorporation of variability into the modeling of viral delays in HIV infection dynamics
• Probing the effects of the well-mixed assumption on viral infection dynamics
• Modeling and estimation of kinetic parameters and replicative fitness of HIV-1 from flow-cytometry-based growth competition experiments

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