<p>The difference in stochastic mean final epidemic size 〈<i>E</i>〉 between worst-case and optimal protocols, or worst-optimal difference, is plotted as a function of time delay <i>τ</i> and coupling <i>f</i><sub>AB</sub> for increasing amounts of available vaccine. The remaining parameters are the same as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0152950#pone.0152950.g007" target="_blank">Fig 7</a>.</p
<p>Difference in the time of peak prevalence for (A) deterministic () and for (B) stochastic () SIR...
Timing is of crucial importance for successful vaccination. To avoid a large outbreak, vaccines are ...
<p>Population densities are simulated from 2000 to 10201 at intervals of 200. Time step <i>τ =</i> 0...
<p>The difference in stochastic mean final epidemic size 〈<i>E</i>〉 between worst-case and optimal p...
<p>The solid blue line shows the optimal fraction of the available vaccine allocated to the smaller ...
<p>The black lines of Figures A and B illustrate the optimal allocation of an amount of vaccine <i>V...
<p>The stochastic combined mean final epidemic size 〈<i>E</i>〉 as a function of the fractional alloc...
<p>Figures A and B illustrate results for the stochastic model with <i>r</i><sub>0</sub> = 5 and <i>...
<p>The optimal fraction of total vaccine allocated to city B is plotted as a function of available v...
<p>The solid lines in Figures A and B illustrate the optimal fraction of the available vaccine alloc...
<p>The mean final epidemic size for two coupled cities 〈<i>E</i>〉 is plotted as a function of fracti...
<div><p>(A) The morbidity-based strategy is more effective than the mortality-based strategy when <i...
<p>Figures A, B, and C illustrate the epidemic size as a function of the number of individuals vacci...
Real-time vaccination following an outbreak can effectively mitigate the damage caused by an infecti...
<p>(a) and ; (b) and ; (c) and ; (d) and . and the maximal vaccination coverage is . Other para...
<p>Difference in the time of peak prevalence for (A) deterministic () and for (B) stochastic () SIR...
Timing is of crucial importance for successful vaccination. To avoid a large outbreak, vaccines are ...
<p>Population densities are simulated from 2000 to 10201 at intervals of 200. Time step <i>τ =</i> 0...
<p>The difference in stochastic mean final epidemic size 〈<i>E</i>〉 between worst-case and optimal p...
<p>The solid blue line shows the optimal fraction of the available vaccine allocated to the smaller ...
<p>The black lines of Figures A and B illustrate the optimal allocation of an amount of vaccine <i>V...
<p>The stochastic combined mean final epidemic size 〈<i>E</i>〉 as a function of the fractional alloc...
<p>Figures A and B illustrate results for the stochastic model with <i>r</i><sub>0</sub> = 5 and <i>...
<p>The optimal fraction of total vaccine allocated to city B is plotted as a function of available v...
<p>The solid lines in Figures A and B illustrate the optimal fraction of the available vaccine alloc...
<p>The mean final epidemic size for two coupled cities 〈<i>E</i>〉 is plotted as a function of fracti...
<div><p>(A) The morbidity-based strategy is more effective than the mortality-based strategy when <i...
<p>Figures A, B, and C illustrate the epidemic size as a function of the number of individuals vacci...
Real-time vaccination following an outbreak can effectively mitigate the damage caused by an infecti...
<p>(a) and ; (b) and ; (c) and ; (d) and . and the maximal vaccination coverage is . Other para...
<p>Difference in the time of peak prevalence for (A) deterministic () and for (B) stochastic () SIR...
Timing is of crucial importance for successful vaccination. To avoid a large outbreak, vaccines are ...
<p>Population densities are simulated from 2000 to 10201 at intervals of 200. Time step <i>τ =</i> 0...
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