Description: This course provides a survey of spatial problems in epidemiology with a
specific focus on public health applications of spatial analysis.
Topics covered will include the different types of spatial data, causal inference with spatial data, and specific examples of applications of spatial analysis to epidemiological problems.
Learning Objectives: 1. Describe the circumstances when spatial analysis is necessary and useful for
different types of epidemiological problems and contexts.
2. Understand and describe key issues of causal inference in spatial analysis (e.g. ecological and atomistic fallacies).
3. Become familiar with statistical concepts underlying spatial epidemiological analysis.
Description: We will focus on five specific pathogens that have had an outsize impact on the trajectory of human health and societies: Cholera, Polio, Tuberculosis, Influenza, and HIV.
Learning Objectives: 1. Understand the concept of infectious disease "natural history" of
2. Understand and enumerate key infectious diseases in human history.
3. Understand the key social and historical mechanisms underlying the emergence and transmission of infectious diseases.