< Back to Article
A hybrid stochastic-deterministic approach to explore multiple infection and evolution in HIV
Fig 1
Comparison of the deterministic prediction and stochastic average of the number of cells infected with the mutant with free virus transmission only.
The deterministic predictions are in blue and the stochastic hybrid simulations with 
(infected populations always treated completely stochastically) are in yellow. Standard error bars are included in the main panel (sometimes too small to see) and the inserts show standard deviation bars. A Neutral mutant, Fmutant = 0.9. Each yellow dot represents the average taken over at least 2 × 106 simulations. B Advantageous mutant with 10% advantage, Fmutant = 0.99. Each yellow dot represents the average taken over at least 1.1 × 103 simulations. C Disadvantageous mutant with 10% disadvantage, Fmutant = 0.81. Each yellow dot represents the average taken over at least 3.5 × 106 simulations. We have 
, and the parameters are Fwild-type = 0.9, N = 3, μ = 3 × 10−5, λ = 1.59 × 107, β = 4 × 10−9, γ = 0, and d = 0.016. The infected cell death rate a is adjusted to achieve the required R0.
doi: https://doi.org/10.1371/journal.pcbi.1009713.g001