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Compartmental Bayesian hierarchical models for zoonotic diseases

Event Category:
Statistics and Data Science Seminar Series
Speaker:
Marie Ozanne
Institution:
Mount Holyoke College
Webpage:

A zoonotic disease is an infectious disease that can be transmitted between one or more non-human animal species and humans. Such diseases can be caused by various types of pathogens, including parasites, bacteria, viruses, and fungi. These diseases can pose significant public health risks, and their zoonotic nature means it is important to understand their behavior not only in humans, but also in corresponding animal reservoirs. In this talk, we will focus on zoonoses where domesticated dogs comprise the primary animal disease reservoir. Specifically, in the first part of the talk, we will explore a Bayesian compartmental model and associated reproductive number formulations to examine the roles of two disease transmission routes, vertical and vector-borne, in infection spread for a parasitic disease. In the latter part of the presentation, we will discuss a compartmental model for multiple tickborne bacterial infections in a small sample.

Friday, October 28, 2022 - 11:00am
LGRT 171