Course Number: 264
Course Title: Spatial epidemiology
School: Graduate Division
Department: Epidemiology And Translational Sciences Program
Course Description: This course introduces students to the concepts, principles, and methods for the visualization and analysis of spatially referenced public health data. Lectures, discussion and assignments will highlight spatial data analysis techniques with applications in malaria and other infectious and non-infectious diseases prevalent in international settings. Hands-on skills based exercises will be emphasized over lecture-based presentation of theory, so students should be prepared to be fully engaged.
Prerequisites: Students should have a good basic understanding of R as this will be heavily used. A good understanding of mixed effect regression modeling is also required.
Restrictions: While there are no hard restrictions for this course (other than experience with R and and understanding of mixed effect regression modeling), students should be aware that the course will be fast paced and will cover many different elements of spatial epidemiology, including GIS and spatial statistics.
Activities: Lecture, Laboratory
Quarter(s) Offered: Fall
Course Grading Convention: Letter Grade, P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)
Graduate Division course: Yes
Is this a web-based online course? No
Is this an Interprofessional Education (IPE) course? No
May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes
Repeat course for credit? No