Courses Details

EPID684: Theory and applications of spatial epidemiology

  • Graduate level
  • Residential
  • Winter term(s) for residential students;
  • 3 Credit Hour(s) for residential students;
  • Instructor(s): Zelner, Jonathan (Residential);
  • Prerequisites: BIOSTAT 501 or BIOSTAT 521
  • Advisory Prerequisites: intermediate biostatistics course recommended
  • 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.