During “The Science Behind COVID-19 Mathematical Models” our experts share different perspectives on COVID-19 models that have been used to provide data to inform policy makers, health care organizations, and public health leaders as they make decisions about organizational and community responses to the COVID-19 pandemic. We’ll explore the differences between mathematical and statistical models, how different modelers arrive at their models, and why they might generate different projections, as well as how they can be used for policy and planning purposes. The webinar will be moderated by Stefan Gildemeister of the Minnesota Department of Health.
Our two panelists have worked with their teams to create and adapt high profile models currently being used across the nation. School of Public Health Associate Professor Eva Enns is co-leading the eight-member interdisciplinary team that developed the model that helped inform Minnesota Governor Walz’s stay-at-home orders. The scenarios Walz considered emerged from mathematical models custom created at the University of Minnesota School of Public Health (SPH) in partnership with the Minnesota Department of Health (MDH) to help Walz make his best decisions.
Abraham Flaxman is a faculty member at the University of Washington. He is a member of the Institute of Health Metrics and Evaluation (IHME), an independent global health research center at the University of Washington. Their team of global health metricians stepped in to help a local hospital anticipate patient surge from COVID-19. Their model has now been applied to provide accessible data for all fifty states, and for dozens of countries.
This webinar is free and open to the public. This webinar will be recorded and available online following the presentation.