EEB 430/CmplxSys 431. Modeling Infectious Diseases.
This course is an introduction to the modern theory of infectious disease. We will focus on translating the essential features of a transmission system into mathematical models that can be used to explain observations and guide public health response. Beginning with the simplest considerations, we will gradually incorporate the biological and social complexities that make models more powerful as scientific tools and as guides to policy. These complexities include host heterogeneities in transmission and susceptibility, age and spatial structure, patterns of host-host contact, arthropod vectors, seasonality, and evolution. At the same time, the course will explain the methods that can be used to analyze models to assimilate epidemiological data, derive scientific predictions, and evaluate policy options. Though analytical derivations are always preferable, there are inescapable limits to what can be deduced analytically. Computational methods will therefor be an important focus of the course.
The course is suitable for undergraduate and graduate students with an interest in epidemiology or mathematical modeling and a quantitative background that includes at least two semesters of calculus and exposure to differential equations and probability. Some experience with scientific computing is advisable. Students who are uncertain as to whether they have sufficient preparation should consult the instructor.
