Infectious Disease Dynamics: Models and Data

4 credits

Provides an overview of various infectious disease models as well as approaches to fit these models to data. Covers foundational underlying mathematics, issues with incomplete and biased data, as well as model selection considerations associated with spatial and temporal scale. Prerequisite: either a course in matrix algebra/linear algebra; a course in differential equations; and familiarity with Python or R programming languages, or permission of the instructor; recommended: either EPI 554, AMATH 502, AMATH 535, or MATH 491/STAT 491. Offered: Sp.