PSU Mark
Eberly College of Science Mathematics Department

Meeting Details

For more information about this meeting, contact Tim Reluga, Andrew Belmonte.

Title:Modeling the Impact of an Epidemic on Network Topology
Seminar:The Pritchard Lab Seminar
Speaker:Shweta Bansal, Center for Infectious Disease Dynamics, Penn State
In models of disease transmission on contact networks, the probability of exposure is determined by the connectivity (degree) of the individual (node). Thus, the most highly connected individuals in a contact network have both a higher probability of spreading infection through the population and a higher rate of exposure (susceptibility) through social contacts. As an epidemic sweeps through a population, this heterogeneity leads to systematic structural changes in the active portion of the network, removing immunized indivdauls who no longer participate in the chains of transmission. While the impact of network structure on the progression of an epidemic has been well studied, there has been relatively little work on network evolution during the course of an epidemic. We analytically investigate the impact of epidemic dynamics on the underlying host population structure and find that the structural evolution of the network varies with the original topology of the network and the contagiousness of the disease. We identify the mechanisms acting on the network topology to make them sparser and consider questions about the patterns of immunity that arise during disease outbreaks. We then extend this investigation to to study the impact of past epidemics on the dynamics of future outbreaks.

Room Reservation Information

Room Number:MB106
Date:02 / 23 / 2009
Time:02:30pm - 03:30pm