Online seminar by Prof. Leah Johnson from Department of Statistics Computational Modeling and Data Analytics (CMDA), Virginia Tech
31 January 2024
KST 09:30 – 11:00
Join us online: https://pusan.zoom.us/j/88504588732?pwd=rGoUs38pR80P22K35trmPIw3uuefE2.1 Meeting ID: 885 0458 8732 Passcode: 189869
Models for biological and epidemiological processes run the gamut from phenomenological to mechanistic, including differing amounts of biological information and detail. In this talk, I explore models across this spectrum that are used to understand the spread of vector-borne pathogens. I take a trait-based approach, and show how we can use trait data in multiple ways across these models to enable us to make predictions at different scales in space and time. I explore what kinds of trait data can help us answer different kinds of questions in Vector-Borne Disease systems and for multiple goals, from prediction to understanding.