We systematically simulate a broad range of pandemic scenarios and mitigation strategies using a networked, agent-based model of a community of explicit, multiply-overlapping social contact networks.
For each data set, we create 100 instances of surrogate contact networks for each sampling method.
Figure 5 Degree and link weight distributions in the four contact networks.
With the latter driven as a function of contact networks, Gao et al.
In such prediction, Realistic Contact Networks (RCNs) have been widely used to characterize disease dynamics.
Simulated PWID contact networks are created and compared with Bernoulli graphs.
Furthermore, we generate the aggregated contact networks on a daily scale and on the full experimental time period (3 days).
Despite the increasing availability of techniques to measure even high-resolution temporal contact networks however, a number of limitations remain.
A target for future investigation is to determine the difference in contact networks within versus between households.
We compare in the following the properties of these surrogate contact networks with the real face-to-face contact data.
In this paper, we study the dynamics of contagious spreading processes taking place in complex contact networks.
