Turning Assumptions into Knowledge with Mathematical Models, Webinar Recording

The webinar is presented by Eleanor Murray, ScD, an Assistant Professor of Epidemiology at the Boston University School of Public Health.

Webinar Description

Mathematical models are an important part of the epidemiologic toolkit, especially during rapidly evolving health crises where data availability is limited. Valid inference about population-level outcomes can be obtained from mathematical models but only under strong assumptions, many of which are often not explicitly described. Dr. Eleanor Murray, Assistant Professor of Epidemiology at BUSPH, explains the basics of mathematical modeling using individual-level or agent-based simulation models, and explains the assumptions required to learn about causal effects from these models.

How to Watch

Click here to watch the webinar on Population Health Exchange.