We vary the size of our simulated network by varying the number of Census Block Groups (CBG) used during construction. We observe that the inferred disease parameters follow a similar trend even across large differences in network size.</p
One major aim of statistics is to systematically study outcomes of interest in a population by obser...
<p>Results of simulating our model at equilibrium as a function of varying network size and structur...
<p>Probability distribution of the mean number of trials for which a cost value stays as the lowest...
Applying the same prior parameters on graphs subsampled to a different initial set of CBGs produces ...
<p>The disease parameters are , . Results of simulations having initial infections chosen with proba...
After fitting the parameters of our model to data, we show the cumulative infections produced by 100...
<p>The circles represent the epidemic threshold from our simulation, and the lines the predictions o...
Accurate epidemiological models require parameter estimates that account for mobility patterns and s...
Simulation is increasingly being used to examine epidemic behaviour and assess potential management ...
Accurate epidemiological models require parameter estimates that account for mobility patterns and s...
<p>Simulation parameters for top panel ((a) and (b)): ; for bottom panel ((c) and (d)): ; other para...
<p>Posterior predictive distributions of the difference in outbreak duration between implemented and...
<p>Effect on epidemic size, varying the size of the reconstructed network. (a) Blogs (RPM). (b) Erdö...
<p>The figure shows the marginal posterior predictive estimates of difference in outbreak duration (...
<p>1000 SIR simulations performed on the matched contact sensors network (CSN<sup><i>m</i></sup>), t...
One major aim of statistics is to systematically study outcomes of interest in a population by obser...
<p>Results of simulating our model at equilibrium as a function of varying network size and structur...
<p>Probability distribution of the mean number of trials for which a cost value stays as the lowest...
Applying the same prior parameters on graphs subsampled to a different initial set of CBGs produces ...
<p>The disease parameters are , . Results of simulations having initial infections chosen with proba...
After fitting the parameters of our model to data, we show the cumulative infections produced by 100...
<p>The circles represent the epidemic threshold from our simulation, and the lines the predictions o...
Accurate epidemiological models require parameter estimates that account for mobility patterns and s...
Simulation is increasingly being used to examine epidemic behaviour and assess potential management ...
Accurate epidemiological models require parameter estimates that account for mobility patterns and s...
<p>Simulation parameters for top panel ((a) and (b)): ; for bottom panel ((c) and (d)): ; other para...
<p>Posterior predictive distributions of the difference in outbreak duration between implemented and...
<p>Effect on epidemic size, varying the size of the reconstructed network. (a) Blogs (RPM). (b) Erdö...
<p>The figure shows the marginal posterior predictive estimates of difference in outbreak duration (...
<p>1000 SIR simulations performed on the matched contact sensors network (CSN<sup><i>m</i></sup>), t...
One major aim of statistics is to systematically study outcomes of interest in a population by obser...
<p>Results of simulating our model at equilibrium as a function of varying network size and structur...
<p>Probability distribution of the mean number of trials for which a cost value stays as the lowest...