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Stochastic Network Models for Epidemiology—Application to COVID-19 Pandemic

In this talk, Robert Nachbar will describe the ongoing efforts to fully explore the effects of network topology and various mixing scenarios on the dynamics of COVID-19 disease spread throughout the entire population. Comparison of the modeled outcomes with some well-characterized COVID-19 data from Europe and China will show whether or not this approach is successful, or whether other modeling strategies are needed.

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