The Swine Health Blackbelt Podcast - Dr. Tara Prezioso: Agent-Based Temporal Network Model for PEDV | Ep. 234

In this episode of The Swine Health Blackbelt Podcast, Dr. Tara Prezioso, Graduate Research and Teaching Assistant at the University of Illinois Urbana-Champaign, explains how agent-based temporal network models can track direct and indirect PEDV transmission. She discusses daily movement data, outbreak validation, machine learning, high-risk premises, and biosecurity scenarios that could support stronger disease preparedness. Listen now on all major platforms!

What you'll learn:  

• Temporal network modeling
• Direct and indirect transmission
• Outbreak model validation
• Machine learning prediction
• Biosecurity scenario testing

Meet the guest:

Dr. Tara Prezioso is a Graduate Research and Teaching Assistant at the University of Illinois Urbana-Champaign. A veterinarian with an MPH in Epidemiology and an applied master’s degree in Statistics, she studies veterinary epidemiology, infectious disease modeling, and statistical analysis. Learn more about PEDV network modeling with Dr. Tara Prezioso on The Swine Health Blackbelt Podcast, available on all major platforms. 

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