Infectious Disease Modeling

This course will introduce infectious disease modeling and its applications. Students will learn to build computational models of infectious disease, fit models to data, leverage models to develop predictions, and target public health interventions. We will explore how models were used during the COVID19 pandemic, and are being used to project the health effects of climate change. We will introduce core mathematical underpinnings including dynamical systems and statistical approaches for model fitting. Students should be familiar with calculus and have prior coding experience in R, Python or Matlab. There are no required prerequisites but students in the Applied Epidemiology MPH sub-concentration should email the instructor before enrolling.