Modeling of Experimental Data Supports HIV Reactivation from Latency after Treatment Interruption on Average Once Every 5-8 Days
The correlation between growth rate and time-to-detection in cohort 3 was in fact positive (r = 0.029, p = 0.9) despite an expected negative correlation. The fourth estimate comes from Hill et al.'s own previous work[4] but is derived directly from the estimate of reference [3] (see S1 Methods)...
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Veröffentlicht in: | PLoS pathogens 2016-08, Vol.12 (8), p.e1005740-e1005740 |
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Hauptverfasser: | , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | The correlation between growth rate and time-to-detection in cohort 3 was in fact positive (r = 0.029, p = 0.9) despite an expected negative correlation. The fourth estimate comes from Hill et al.'s own previous work[4] but is derived directly from the estimate of reference [3] (see S1 Methods). [...]the evidence for a reactivation rate of 4 per day hinges upon reference [3]'s use of a 13-parameter model of time to drug resistance, in which many of the input parameters are described as "roughly based on the literature"[3]. |
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ISSN: | 1553-7374 1553-7366 1553-7374 |
DOI: | 10.1371/journal.ppat.1005740 |