Synthesis and refinement of detailed subnetworks in a social contact network for epidemic simulations

Authors:
Huadong Xia;Jiangzhuo Chen;Madhav Marathe;Henning S. Mortveit
Affiliations:
Network Dynamics and Simulation Science Laboratory, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA;Network Dynamics and Simulation Science Laboratory, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA;Network Dynamics and Simulation Science Laboratory, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA;Network Dynamics and Simulation Science Laboratory, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA
Venue:
SBP'11 Proceedings of the 4th international conference on Social computing, behavioral-cultural modeling and prediction
Year:
2011

Citing 4
Cited 0

The Mathematics of Infectious Diseases

SIAM Review
EpiFast: a fast algorithm for large scale realistic epidemic simulations on distributed memory systems

Proceedings of the 23rd international conference on Supercomputing
The flip markov chain and a randomising P2P protocol

Proceedings of the 28th ACM symposium on Principles of distributed computing
Generation and analysis of large synthetic social contact networks

Winter Simulation Conference

Quantified Score

Hi-index	0.00

Visualization

Abstract

In recent years, individual based epidemic simulations on synthetic social contact networks have been proved useful in supporting public health epidemiology. In use of such models, it is often desirable to understand how disease spreads through a small subset of the population; furthermore often data is available that allows us to develop more refined representations of social contact networks that span these subpopulations. Examples include: schools, office campuses, military bases, etc. Here, we develop a multi-level refinement and analysis technique to synthesize and embed subnetworks of an existing contact network when more detailed activity data about a small community is available. The methodology is illustrated by embedding detailed high school networks in a synthetic social contact network of the New River Valley, Virginia.