Fall 2024 Epidemiology P8416 section 001

Spatial Epidemiology

Call Number 15685
Day & Time
Location
M 2:30pm-5:20pm
LL201 Armand Hammer Health Sciences Center
Points 3
Grading Mode Standard
Approvals Required None
Instructor Christopher N Morrison
Type LECTURE
Method of Instruction In-Person
Course Description

Spatial epidemiology is the study of geographic distributions and determinants of health in populations. The goal of this class is to introduce students to relevant theory and methods, in order to provide the foundational skills required to understand and critically analyze spatial epidemiologic studies. The course emphasizes spatial epidemiology as a sub-discipline of epidemiology while acknowledging the many scientific disciplines that shape it, including biostatistics, cartography, criminology, demography, economics, geography, psychology, and sociology. We begin by defining spatial epidemiology and exploring these multi-disciplinary roots, with particular regard to the theoretical causal mechanisms that provide a bridge between social and physical environmental conditions and population health. We then provide a basic overview of geographic information systems and their utility for descriptive spatial epidemiology—including data visualization and cluster detection—before demonstrating how to incorporate spatial structures within conventional epidemiologic study designs to examine associational and causational relationships between environmental conditions and health outcomes. Class readings describe advances in theory and methods for spatial epidemiology and related disciplines, as well as concrete examples of applications for communicable disease, non-communicable disease, and injury epidemiology. This course is intended for doctoral and 2ndyear MPH students.

Web Site Vergil
Department Epidemiology
Enrollment 20 students (20 max) as of 9:14PM Wednesday, November 20, 2024
Subject Epidemiology
Number P8416
Section 001
Division School of Public Health
Open To GSAS, Public Health
Note Other: EPIDP8438 strongly recommended.
Section key 20243EPID8416P001