Spatial Approaches to Disaster Epidemiology: Dr. Snow Meets the Rev. Bayes (EPI 3404)
Charles DiMaggio, PhD, Assistant Professor of Epidemiology, Columbia University, discusses the benefits of incorporating Bayesian hierarchical modeling into spatial analysis of public health data. He asserts that 21st century advances in statistics and computing allow the full appreciation and use of methods first described 2 centuries ago by Rev. Bayes. He also provides examples of how this form of spatial analysis can benefit disaster preparedness and response efforts. This course also covers the basic hierarchy of the Bayesian approach and conditional auto-regression. Participants in this course should have a basic understanding of geospatial analysis.
|2. Course Material - Spatial Approaches to Disaster Epidemiology||-|
|4. Satisfaction Survey||-|
The purpose of this course is to:
Public Health Emergency Preparedness Capabilities:
Preparedness and Emergency Response Learning Center (CDC):
At the end of this course, you will be able to: