PBHLTH 272CW
Applied Spatial Data Science for Public Health
This course will cover the theory and methods behind the analysis of patterns of health and disease in space. Students will increase their proficiency in the application of Geographic Information Systems (GIS) to public health data, and will learn how to perform a wide variety of space and space-time analyses. The course will introduce statistical techniques for describing, analyzing and interpreting layers of mapped health data, including the acquisition and classification of remote sensing data.
Topics
- Describe the rationale for geographical analysis and spatial epidemiology; Provide examples of impactful spatial analyses from the literature; Identify strengths and weaknesses of mapped data and spatial analyses; Formulate a research question that is answerable using spatial techniques; Describe several statistical techniques useful for analyzing and interpreting mapped data in public health applications; Apply appropriate spatial statistics to diverse locational data; Report results of spatial analyses in a manner that is clear and understandable to both technical and non-technical audiences.
Official catalogue course objectives and student learning outcomes
Prerequisites & course information
{'preRequisiteCourse': '1560651', 'concurrentPrerequisit': False}; {'preRequisiteCourse': '1560652', 'concurrentPrerequisit': False}
Sources
- Course catalogue ↗2026-2027