“Dare to be remarkable.” - Jane Gentry

Bradford Greening, Jr

CoRE Building, Rutgers University

Duration of Infectivity and Disease in Dynamic Networks

The study of how an infectious disease moves through a population is one that has serious implications on not only the health of a population but also on the public officials whose job it is to bring a possible epidemic under control. Proper decisions regarding allocation of resources and effort spent on interventions such as quarantine or vaccination are critical to the  successful management of a disease in a population. Social Network Analysis and network modeling approaches have been used in epidemiology to help understand how patterns of human contact aid or inhibit the spread of diseases in a population.

Our project will focus on examining the effect of relative time scale in shifting network structure and disease transmission patterns. Starting from empirical, computational experimentation, we will try to build a theoretical understanding of how relative durations of social and disease processes interact to shape epidemics. We will also search for variations in disease incidence, duration, and spread caused by various dynamics in a social network.

DIMACS REU

Rutgers, The State University of New Jersey

96 Frelinghuysen Road

Piscataway, NJ 08854-8018

To Contact Me:

DIMACS Fax: (732) 445-5932

E-mail: bgreening01@gmail.com