Note that different levels of δ are depicted column-wise, while different extended SIR models are depicted row-wise. Different levels of γ and ζ vary within each panel A-I. Please also note that, in the interest of simplicity, only corresponding parameter combinations, i.e. (γ1, ζ1), (γ2, ζ2) and (γ3, ζ3), are depicted.</p
Reconstruction of both the incidence (A) and the time evolution of εS(t) (B) for the SIRS model. In ...
<p>A comparison of estimated per-capita weekly incidence data (black) and best-fitting model output ...
<p>We can see at first line: SI model (left), SIR Model (right); at second line SIS model (left), SI...
<p>Each point of the scatter plots corresponds to one pair (λ,δ), where λ is the infection probabili...
(A) Proportions of susceptible, infected, and recovered individuals over time for an infection rate ...
<p>We show the medians of , evaluated using stochastic runs for the baseline (SIR model without fea...
<p>Top (A): model fits to the 2007–2008 season (main) and the 2002–2003 season (inset (B)). Bottom(C...
<p>A: cumulative incidence (total number of symptomatic cases) over a 28-year simulation as a functi...
Plots (a), (c) and (e) show the effect of varying transmission probability β, recovery rate γ, and p...
Reconstruction of both the incidence (bottom panel) and the time evolution of β(t) and Reff (top pan...
<p>Comparison of incidence rates and simulated values among the three different prediction models fo...
<p>As before, each bar in the chart represents an average across 30 simulation runs for a given para...
The Susceptible-Infectious-Recovered (SIR) equations and their extensions comprise a commonly utiliz...
<p>Each point in scatter plots (a) and (c) represents a predictive model, defined by a particular se...
<p>In the upper panel, the parameter estimates were exponentiated so that the parameter values corre...
Reconstruction of both the incidence (A) and the time evolution of εS(t) (B) for the SIRS model. In ...
<p>A comparison of estimated per-capita weekly incidence data (black) and best-fitting model output ...
<p>We can see at first line: SI model (left), SIR Model (right); at second line SIS model (left), SI...
<p>Each point of the scatter plots corresponds to one pair (λ,δ), where λ is the infection probabili...
(A) Proportions of susceptible, infected, and recovered individuals over time for an infection rate ...
<p>We show the medians of , evaluated using stochastic runs for the baseline (SIR model without fea...
<p>Top (A): model fits to the 2007–2008 season (main) and the 2002–2003 season (inset (B)). Bottom(C...
<p>A: cumulative incidence (total number of symptomatic cases) over a 28-year simulation as a functi...
Plots (a), (c) and (e) show the effect of varying transmission probability β, recovery rate γ, and p...
Reconstruction of both the incidence (bottom panel) and the time evolution of β(t) and Reff (top pan...
<p>Comparison of incidence rates and simulated values among the three different prediction models fo...
<p>As before, each bar in the chart represents an average across 30 simulation runs for a given para...
The Susceptible-Infectious-Recovered (SIR) equations and their extensions comprise a commonly utiliz...
<p>Each point in scatter plots (a) and (c) represents a predictive model, defined by a particular se...
<p>In the upper panel, the parameter estimates were exponentiated so that the parameter values corre...
Reconstruction of both the incidence (A) and the time evolution of εS(t) (B) for the SIRS model. In ...
<p>A comparison of estimated per-capita weekly incidence data (black) and best-fitting model output ...
<p>We can see at first line: SI model (left), SIR Model (right); at second line SIS model (left), SI...