The carriage time is set to zero if the resistant subpopulation did not survive antibiotic treatment. Discontinuities are a result of discontinuities in the estimate of the resistant subpopulation size at the end of treatment (discussion in Section D in S1 Appendix). The theoretical predictions (lines) are derived in Section E. Symbols show the average carriage time of 106 stochastic simulations. The color coding and figure structure is the same as in the previous figures. Parameters are the same as in Fig 3.</p
<p><b>A</b> The model-derived clearance time distribution is shown as a function of varying immune c...
<div><p>(A,B) Effect of proportion of infected cells becoming latently infected quiescent memory T l...
<p>It was assumed that severely infected individuals do not transmit, and that drug resistance does ...
At the onset of treatment there is exactly one resistant cell in the population and treatment lasts ...
<p>Boxplots show distribution of times to emergence (resistance at a level of 5% of total infecteds)...
The sensitive subpopulation declines almost deterministically during treatment, which is administere...
At the beginning of treatment the population consists of the sensitive strain at its carrying capaci...
Therapy Failure Time for Randomly Constructed Specific Mutants Caption: a. Functional dependence of ...
<p>(A) This tracking plot shows that the expression of the activator increases while the antibiotic ...
The use of an antibiotic may lead to the emergence and spread of bacterial strains resistant to this...
<p>The antibiotic concentration is assumed to be constant throughout the treatment at the concentrat...
<p>An example of the temporal dynamics of the number of resistant lesions in the absence of fungicid...
<div><p>(A,B) Effects of fitness (<i>w</i>) of resistant viruses in the absence of drug.</p><p>(C,D)...
<p>This relationship is predicted to be dependent on the underlying proportion of ‘resistant’ infect...
<p>The emergence time is plotted for a two-component treatment (, green, left axis) and a three-comp...
<p><b>A</b> The model-derived clearance time distribution is shown as a function of varying immune c...
<div><p>(A,B) Effect of proportion of infected cells becoming latently infected quiescent memory T l...
<p>It was assumed that severely infected individuals do not transmit, and that drug resistance does ...
At the onset of treatment there is exactly one resistant cell in the population and treatment lasts ...
<p>Boxplots show distribution of times to emergence (resistance at a level of 5% of total infecteds)...
The sensitive subpopulation declines almost deterministically during treatment, which is administere...
At the beginning of treatment the population consists of the sensitive strain at its carrying capaci...
Therapy Failure Time for Randomly Constructed Specific Mutants Caption: a. Functional dependence of ...
<p>(A) This tracking plot shows that the expression of the activator increases while the antibiotic ...
The use of an antibiotic may lead to the emergence and spread of bacterial strains resistant to this...
<p>The antibiotic concentration is assumed to be constant throughout the treatment at the concentrat...
<p>An example of the temporal dynamics of the number of resistant lesions in the absence of fungicid...
<div><p>(A,B) Effects of fitness (<i>w</i>) of resistant viruses in the absence of drug.</p><p>(C,D)...
<p>This relationship is predicted to be dependent on the underlying proportion of ‘resistant’ infect...
<p>The emergence time is plotted for a two-component treatment (, green, left axis) and a three-comp...
<p><b>A</b> The model-derived clearance time distribution is shown as a function of varying immune c...
<div><p>(A,B) Effect of proportion of infected cells becoming latently infected quiescent memory T l...
<p>It was assumed that severely infected individuals do not transmit, and that drug resistance does ...