Description:

Title:

Mathematical Models for Infectious Disease Transmission Dynamics over Complex Contact Networks: Statistical Methods and Applications for HIV/STI Prevention Science

Speaker:

Samuel Jenness - Assistant Professor, Department of Epidemiology, Rollins School of Public Health, Emory University

Talk Abstract:

HIV and STIs are transmitted over highly structured sexual partnership networks that evolve over time. Investigating network-based drivers of epidemics and opportunities for disease prevention that depend on network structure has required the development of statistical approaches to modeling dynamic network structures embedded within broader mathematical models of intra- and inter-host epidemiology, demography, and bio-behavioral disease transmission. In this talk, I present on temporal exponential random graph models (ERGMs) to model dynamic networks using easily collected egocentric network data, the integration of these methods within our epidemic modeling software — EpiModel (www.epimodel.org) — and our recent applications of these tools to investigate empirical and intervention questions for HIV/STI prevention in the United States and Sub-Saharan Africa.

Live Stream:

To join the Meeting: bluejeans.com/8474912527
To join via Browser: bluejeans.com/8474912527/browser

Co-Sponsors:

This talk is co-sponsored by both the CONNECT Research Program within the Institute for Sexual and Gender Minority Health and Wellbeing and the Center for Prevention Implementation Methodology (Ce-PIM). CONNECT supports research which elucidates the complex mechanisms driving the health disparities of stigmatized populations, in particular gender and sexual minorities. Ce-PIM seeks to improve the implementation of drug abuse and HIV interventions through the development, application, and dissemination of new system science methodologies.