A delay-differential equation model of HIV infection of CD4(+) T-cells.
By R. Culshaw, Shigui Ruan. Mathematical Biosciences, 2000
620 citations recorded by the source corpus.
Subfields: Immunology, Public Health, Environmental and Occupational Health, Virology
View Paper: https://www.semanticscholar.org/paper/dfeb852fff8a744bba913fcb2cb314da2352093f
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In Immunology
In Public Health, Environmental and Occupational Health
- Hal L. Smith
- Patrick De Leenheer
- Xinyu Song
- Nick C. Ellis
- Brian MacWhinney
- John C. Mingers
- Leroy White
In Virology
Citations in the corpus
- Virus Dynamics: A Global Analysis (2003, methodology): “A related modeling approach consists of incorporating a delay term describing the delay between the time of infection of a T cell and the time of emission of virus particles from this cell [3].”
- Dynamical behavior of a delay virus dynamics model with CTL immune response (2010, background): “Furthermore, by the similar theoretical analysis to population dynamical systems and epidemic models [8-11], it is shown that time delays play an important role to the dynamics properties of the virus dynamics model with CTL immune response.”
- ON IDENTIFIABILITY OF NONLINEAR ODE MODELS AND APPLICATIONS IN VIRAL DYNAMICS (2011, background): “For examples of DDE modeling of HIV infection, the reader is referred to [90] and [76].”
- A class of delayed viral models with saturation infection rate and immune response (2013, background): “Recently, many researchers consider the effect of delay accounting for the time between viral entry into a target cell and the production of new virus particles (see, for example, [21–29]).”