<p>(a) is a plot of the total number of infected individuals against time in a simulation where the outbreak was initiated on a single infectious individual. (b) is a histogram of the number of infection events in 100 simulations of an outbreak, which were allowed to run up to a maximum of 300 infection events, initiated on the same individual each time. In both cases, the weighted network matrix was multiplied by 0.01 and the recovery rate was set to unity for all individuals.</p
Local interactions on a graph will lead to global dynamic behaviour. In this thesis we focus on two ...
Recent work has shown that different theoretical approaches to the dynamics of the susceptible-infec...
<p>The network has mean degree and the transmissibility of the second disease is fixed at , while t...
<p>(A) Final fraction of non-infected subjects as a function of the infective time and the infecti...
(a) A sample time series showing the evolution of S, I, R and V for a simulated epidemic with β = 0....
Figure S2. Case-fatality rate in different vaccination schemes. Simulations of a network of size ten...
<p>(A) 1280 patches of size 25, longest simulation run, note only three patches infected, (B) 128 pa...
<p>The vertical lines are the time lines corresponding to each individual. The short diagonal lines ...
Figure S1. Estimates of the reproductive number in different vaccination schemes. Simulations of a n...
<p>Grey lines show 500 stochastic realizations of the individual-based model run on different random...
<p>For each empirical network we fit a number of network models. For each network model we simulate ...
The classical, continuous-time susceptible-infected-susceptible (SIS) Markov epidemic model on an ar...
Epidemic propagation on networks represents an important departure from traditional mass-action mode...
(a) A network visualization of the Project 90 data set. The dashed lines are not exhaustive, but ill...
<p>Watts-Strogatz, Romantic, and fully connected networks. Results for (A) time to the epidemic peak...
Local interactions on a graph will lead to global dynamic behaviour. In this thesis we focus on two ...
Recent work has shown that different theoretical approaches to the dynamics of the susceptible-infec...
<p>The network has mean degree and the transmissibility of the second disease is fixed at , while t...
<p>(A) Final fraction of non-infected subjects as a function of the infective time and the infecti...
(a) A sample time series showing the evolution of S, I, R and V for a simulated epidemic with β = 0....
Figure S2. Case-fatality rate in different vaccination schemes. Simulations of a network of size ten...
<p>(A) 1280 patches of size 25, longest simulation run, note only three patches infected, (B) 128 pa...
<p>The vertical lines are the time lines corresponding to each individual. The short diagonal lines ...
Figure S1. Estimates of the reproductive number in different vaccination schemes. Simulations of a n...
<p>Grey lines show 500 stochastic realizations of the individual-based model run on different random...
<p>For each empirical network we fit a number of network models. For each network model we simulate ...
The classical, continuous-time susceptible-infected-susceptible (SIS) Markov epidemic model on an ar...
Epidemic propagation on networks represents an important departure from traditional mass-action mode...
(a) A network visualization of the Project 90 data set. The dashed lines are not exhaustive, but ill...
<p>Watts-Strogatz, Romantic, and fully connected networks. Results for (A) time to the epidemic peak...
Local interactions on a graph will lead to global dynamic behaviour. In this thesis we focus on two ...
Recent work has shown that different theoretical approaches to the dynamics of the susceptible-infec...
<p>The network has mean degree and the transmissibility of the second disease is fixed at , while t...