Course Description
Spatial modeling in infectious, chronic, and environmental epidemiology. Methods for disease mapping, detection and delineation of disease clusters, and linking disease outcome to environmental exposures are considered. Parameter estimation, inference, and diagnostic testing for geostatistical, random field, and point process models are described.
Athena Title
SPATIAL EPIDEM
Prerequisite
BIOS 7020
Semester Course Offered
Offered spring
Grading System
A - F (Traditional)
Course Objectives
Students completing this course should be able to (1) produce descriptive maps, (2) compute descriptive statistics, (3) describe methods for detection and delineation of disease clusters, (4) describe models for spatial data, (5) build models linking risk factors to spatial patterns of disease, and (6) interpret results of geospatial data analysis.
Topical Outline
The following topics will be covered: 1. Methods of describing disease rates. 2. Descriptive statistics for spatial data. 3. Methods for visualizing spatial data and disease mapping. 4. Detection and delineation of disease clusters. 5. Analysis of point patterns. 6. Working with regional counts data. 7. Modeling spatial exposure data. 8. Linking exposure to human health outcomes.