Correction for Hill et al., Predicting the outcomes of treatment to eradicate the latent reservoir for HIV-1

MEDICAL SCIENCES, APPLIED MATHEMATICS

Correction for “Predicting the outcomes of treatment to eradicate the latent reservoir for HIV-1,” by Alison L. Hill, Daniel I. S. Rosenbloom, Feng Fu, Martin A. Nowak, and Robert F. Siliciano, which appeared in issue 37, September 16, 2014, of Proc Natl Acad Sci USA (111:13475–13480; first published August 5, 2014; 10.1073/pnas.1406663111).

The authors note that, due to a printer’s error, Table 1 appeared incorrectly. The corrected table appears below. The online version has been corrected.

Table 1.

Estimated values for the key parameters of the stochastic viral dynamics model

Parameter	Symbol	Estimation method	Ref(s).	Best estimate	Distribution*
LR decay rate	δ	Long-term ART, δ = ln(2)/τ1/2	(3, 4)	5.2 × 10−4 d−1	δ ∼ $\mathcal{N}$(5.2, 1.6) × 10−4 d−1
LR exit rate	A	Viral rebound after ART interruption	(5, 58)	57 cells d−1	log10(A) ∼ $\mathcal{N}$(1.76, 1.0)
Growth rate	r			0.4 d−1	log10(r) ∼ $\mathcal{N}$(−0.40, 0.19)
Establishment probability	PEst	Population genetic modeling	(59, 60)	0.069	Composite distribution (Materials and Methods)

*Notation $X\sim \mathcal{N}\left(\mu ,\sigma \right)$ means that X is a random variable drawn from a normal distribution with mean μ and SD σ.