UAlberta Math Biology Seminar: Binod Pant

The first half of the talk will center on modeling the interplay between human behavior and disease outbreaks, as well as discussing survey-collected human behavior data from all 50 states of the United States during the first two years of the COVID-19 pandemic. In the second half of the talk, using model-generated synthetic data, we will explore the consequences of fitting detected cases to a model (i) without accounting for undetected cases, and (ii)while accounting for this reality. We will also examine the impact of incorporating even a single population-level seroprevalence measurement alongside detected cases on the uncertainty of epidemiological quantities of interest.