Network science and mathematical modeling (including agent-based models) have been two methodological approaches used to understand the drivers of HIV/STI transmission and to identify optimal prevention strategies. In this talk, Dr. Jenness will describe a framework that links the two approaches to allow modeling to be grounded in empirical network data. He will then demonstrate applications of this framework to address several persistent challenges in HIV/STI prevention science, including co-circulating infections and health disparities.
Samuel Jenness, PhD is an Assistant Professor in the Department of Epidemiology at the Rollins School of Public Health at Emory University. There, he is the Principal Investigator of the EpiModel Research Lab, funded by the National Institutes of Health and the Centers for Disease Control and Prevention. His research works to develop methods and software tools for modeling infectious diseases across dynamic contact networks, with primary applications focused on HIV and bacterial STI transmission in the United States and Sub-Saharan Africa.
For questions about this event, reach out to Chris Hilliard at crh218@nyu.edu.