Understanding Models to Predict Viral Spread and Community Impact (On-demand webinar)

Note: This is a recording of a webinar held on May 13, 2020.

Training Overview

This webinar was recorded live on May 13, 2020.

In this presentation, we will discuss how models predict viral spread including the spread of COVID-19 as well as the impact it has on the community. We will review three modeling strategies used to model viral spread and how assumptions in models impact decisions made from various model outputs. We will also explore how models are used in public health policy to control infectious disease spread. 

The course contains two modules: a content module and a resources and evaluation module. After accessing both modules, learners will earn a certificate of completion. When the certificate is available, learners will see a Certificate button on their dashboard.

This recording is approximately 90 minutes. There are no prerequisites. Participants will need a broadband internet connection (Google Chrome or Mozilla Firefox are preferred browsers) and computer speakers. For technical support, please contact emoryphtc@emory.edu.

About the Trainer

Dr. Suzanne Judd is the Director of the Lister Hill Center for Health Policy and a Professor in the School of Public Health at the University of Alabama at Birmingham.  She received her MPH in Epidemiology and PhD in Nutrition Sciences from Emory University where she led two vitamin D clinical trials.  Dr. Judd is multiple PI on both the REGARDS and RURAL cohort studies and has worked with cohort studies in France through the Fulbright Scholar Program.  Dr. Judd’s research focuses on the role of diet and the environment as mediators of racial disparities in the risk of hypertension, kidney disease, and stroke.

This project is supported by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) under grant number UB6HP31680, Public Health Training Centers for $4,348,992. This information or content and conclusions are those of the author and should not be construed as the official position or policy of, nor should any endorsements be inferred by HRSA, HHS or the U.S. Government.