Courses Taught by Jonathan Zelner

EPID592: Introduction to Spatial Epidemiology and GIS for Public Health

Graduate level
Both Online MPH and Online MS
This is a second year course for Online students
Fall term(s) for online MPH students; Fall term(s) for online MS students.
4 credit hour(s) for online MPH students; 4 credit hour(s) for online MS students;
Instructor(s): Zelner, Jonathan (Online MPH); Zelner, Jonathan (Online MS);
Offered Every Fall
Last offered Fall 2021
Prerequisites: None
Advisory Prerequisites: None
Description: In this class, students will be exposed to the conceptual foundations of spatial analysis in public health and will develop familiarity with spatial data manipulation and visualization using GIS software.’
Learning Objectives: 1. Develop familiarity with the historical and conceptual foundations of modern spatial epidemiology. 2. Learn about the different types of spatial data used in epidemiology and public health. 3. Obtain, load, and visualize spatial datasets using ArcGIS Online.

Concentration Competencies that EPID592 Allows Assessment On
Department	Program	Degree	Competency	Specific course(s) that allow assessment
Population and Health Sciences		MPH	Compare population health indicators across subpopulations, time, and data sources	PUBHLTH515, BIOSTAT592, EPID590, EPID592, EPID643, BIOSTAT595, BIOSTAT501

Graduate level
Both Online MPH and Online MS
This is a second year course for Online students
Winter term(s) for online MPH students; Winter term(s) for online MS students.
2 credit hour(s) for online MPH students; 2 credit hour(s) for online MS students;
Instructor(s): Zelner, Jonathan (Online MPH); Zelner, Jonathan (Online MS);
Last offered Winter 2022
Prerequisites: EPID592
Description: In this course, students will gain familiarity with the key issues and statistical and theoretical tools for asking and answering epidemiological questions using spatial data.
Learning Objectives: 1. Identify challenges to causal inference using spatial data. 2. Evaluate and employ appropriate analytic methods for diverse public health questions. 3. Fit basic regression models to spatial data and evaluate model fit.

Graduate level
Residential
Winter term(s) for residential students;
3 credit hour(s) for residential students;
Instructor(s): Zelner, Jonathan (Residential);
Offered Every Winter
Last offered Winter 2022
Prerequisites: BIOSTAT 501 or BIOSTAT 521
Advisory Prerequisites: intermediate biostatistics course recommended
Description: This course provides a survey of spatial problems in epidemiology with a specific focus on public health applications of spatial analysis. Topics covered will include the different types of spatial data, causal inference with spatial data, and specific examples of applications of spatial analysis to epidemiological problems.
Learning Objectives: 1. Describe the circumstances when spatial analysis is necessary and useful for different types of epidemiological problems and contexts. 2. Understand and describe key issues of causal inference in spatial analysis (e.g. ecological and atomistic fallacies). 3. Become familiar with statistical concepts underlying spatial epidemiological analysis.

Undergraduate level
Residential
Fall term(s) for residential students;
3 credit hour(s) for residential students;
Instructor(s): Zelner, Jonathan (Residential);
Not offered 2023-2024
Prerequisites: None
Description: We will focus on five specific pathogens that have had an outsize impact on the trajectory of human health and societies: Cholera, Polio, Tuberculosis, Influenza, and HIV.
Learning Objectives: 1. Understand the concept of infectious disease "natural history" of infection. 2. Understand and enumerate key infectious diseases in human history. 3. Understand the key social and historical mechanisms underlying the emergence and transmission of infectious diseases.
Syllabus for PUBHLTH405