Outbreak Science & Public Health Forecasting I

3 Credits

This course aims to introduce students to models that describe the spread of a pathogen through a population, and how models can support public health decisions. The course will be split into four parts: (i) the factors that motivate public health actions, (ii) epidemic models such as the Reed-Frost and SIR, (iii) statistical time series and forecasts, (ii) a focus on ensemble building. Students will be expected to complete mathematical/statistical exercises and write code that simulates infectious processes.