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. Author manuscript; available in PMC: 2019 Jan 1.
Published in final edited form as: Bull Math Biol. 2017 Nov 6;80(1):46–63. doi: 10.1007/s11538-017-0365-3

Table 2. Parameter fits for innate/adaptive/minimal immune mixed effects models.

These values represent the mean and standard deviation of the priors that maximize the likelihood as calculated by monolix. All parameters are assumed to be log-normally distributed, constraining all parameters to be positive. In some cases the standard deviation is greater than the mean, because the lognormal distribution can be highly skewed. (gen/ml) refers to viral genomes per ml of blood. Parameter distributions for all models are show in Online Resource 1 Figures 2–5

Parameter Description Innate Adaptive Minimal
Mean S.D. Mean S.D. Mean S.D
r (1/day) Viral growth rate 1.69 0.48 1.83 0.46 1.60 0.47
k (1/day) Max killing rate 4.18 0.46 4.11 0.56 3.68 0.66
s (1/day) Immune growth/activation rate 0.17 0.01 0.52 0.02
ϕ (gen/ml) V req’d for 50% max activation 25.2 9.67 23.6 7.67 11.2 3.90
ψ R/X req’d for 50% max killing 0.37 0.01 3.78 0.22
V0 (gen/ml) Viral load at t = 0 0.10 0.08 0.10 0.08 0.10 0.04
n Hill exponent in killing term 27.9 48.4 6.97 10.38
m Hill exponent in activation term 3.67 9.22 1.62 0.16
td (days) Time before immune response 2.90 0.26