Epidemiology Courses

EPID299: Independent Research for Undergraduates

• Graduate level
• Residential
• Fall, Winter term(s) for residential students;
• 1-3 credit hour(s) for residential students;
• Instructor(s): Sara Adar,Staff, (Residential);
• Offered Every semester
• Prerequisites: Perm. Instr.
• Description: Students do an independent microbiology research project under the supervision of afaculty member in the Hospital and Molecular Epidemiology program.
• Learning Objectives: Students learn both specific laboratory techniques and in general how to carryout independent research.

EPID460: Introduction to Bacterial Pathogenesis

• Graduate level
• Residential
• Fall, Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Staff, Alex Rickard, (Residential);
• Offered Every Winter
• Last offered Winter 2022
• Not offered 2024-2025
• Prerequisites: Introductory Microbiology and Genetics or Perm. Instr.
• Description: This course covers the basics of the biochemistry, molecular biology, and genetics of chemotaxis and flagella, pili and adhesins, extracellular proteases, bacterial toxins, invasion and intracellular growth, phase and antigenic variation, gene transfer, LPS, iron, M-proteins, capsules, chemotherapy, antibiotic resistance and global regulation of virulence elements.
• Syllabus for EPID460

EPID504: Polymicrobial Communities Laboratory

• Graduate level
• Residential
• Fall term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Alex Rickard (Residential);
• Offered Every Fall
• Prerequisites: Permission of the Instructor
• Description: This laboratory course provides an opportunity for students to become familiar with approaches and techniques to studying microbial diversity. Techniques to describe microbial diversity at the structural, behavioral, and ecosystem level will be addressed. Emphasis will be placed on approaches to understand diversity within the human microbiome and environmental systems as well as the interactions between them.
• Learning Objectives: Three learning objectives include: (1) Learn and perform laboratory techniques to describe microbial diversity as well approaches to analyze the results of experiments. (2) Realize the impact microbes on the environment as well as on the human microbiome and understand how these communities may interact with one-another. (3) Participate in a scientifically-based class debates and contribute towards the formulation of laboratory experiments.
• This course is cross-listed with Pilot course so not yet cross-listed but upper-level undergraduate students and graduate students from other departments will be considered. in the Pilot course so not yet cross-listed but upper-level undergraduate students and graduate students from other departments will be considered. department.

Concentration Competencies that EPID504 Allows Assessment On

Department	Program	Degree	Competency	Specific course(s) that allow assessment
EPID	Hospital and Molecular Epidemiology	MPH	Demonstrate sterile technique and an understanding of fundamental lab safety measures	EPID504

EPID505: Polymicrobial Communities in Human Health and Disease

• Graduate level
• Residential
• Fall term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Alex Rickard (Residential);
• Last offered Fall 2019
• Not offered 2024-2025
• Prerequisites: None
• Undergraduates are allowed to enroll in this course.
• Description: Regions of focus for the study of the human microbiome (image taken from http://nihroadmap.nih.gov/hmp/ ) This course provides an opportunity for students to become familiar with the concept that humans contain more than just an organized assemblage of mammalian cells. In addition to our human cells, there are numerous microbial inhabitants- many are bacteria. Indeed, on a per-cell basis, these bacteria outnumber human cells by at least an order of magnitude. How resident bacteria interact with one another and with transient (often pathogenic) bacterial species is important to understand because these interactions can promote health or potentially aid the transition towards disease. One such example of these interactive polymicrobial communities can be found in dental plaque, where 400 species of bacteria can cohabitate, and their physical and chemical interactions play a role in the colonization of pathogenic species. In this case, disease can be manifested as periodontitis. Other examples of microbial communities of the body that will be studied in this course include skin/wounds, the upper-respiratory tract, the gut and the urogenital tract. Overall, this course will describe the microbial ecology of the human body and driving forces promoting the transition from those communities associated with health to disease-causing communities. Special emphasis will be given to cutting-edge laboratory techniques when exploring the microbial ecology of the human body. This course will culminate with a broad overview of the current understanding of the human microbiome and potential associated social ramifications of future research.
• Learning Objectives: Four learning objectives include: (1) Learn about the complexity of the human microbiome and techniques that are available to study the ecology of human-associated microbial communities. (2) Realize the impact of the microbial inhabitants of humans on health and disease and be able to describe microbial factors that promote the transition towards diseased states. (3) Participate in a scientifically-founded class debate: Addressing the legal, ethical and social ramifications raised by research into the human microbiome. (4) Understand cutting-edge research and review articles discussing results of investigations of the human microbiome. Furthermore, each student will use these articles to develop a paper which outlines a plan to study the ecology of host-associated microbial communities in health and/or disease.

EPID506: Health of Nations: Introduction to International Health

• Graduate level
• Residential
• Fall term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Marie O'Neill (Residential);
• Offered every year
• Prerequisites: Grad Status
• Description: This course presents an overview of mortality and disease occurrence in terms of geographic, cultural, nutritional and environmental factors. Reviews health indicators such as infant mortality and economic factors associated with development. Discusses health problems of developing countries and describes programs and organizations involved in addressing them. This course is required for students in the International Health track in Epidemiology but can also be taken by non International Health students.
• Syllabus for EPID506

Concentration Competencies that EPID506 Allows Assessment On

Department	Program	Degree	Competency	Specific course(s) that allow assessment
EPID	Global Health Epidemiology	MPH	Explain the history and key initiatives of global health, how health and development strategies interact, and the role of cross-sector organizations in global health governance and practice	EPID506
EPID	Global Health Epidemiology	MPH	Utilize health data from low- and middle-income countries to assess the global burden of disease, associated risk factors and health trends, and scope and limitations of available data	EPID506
EPID	Global Health Epidemiology	MPH	Apply the steps in developing research infrastructure for population health studies in low- and middle-income countries, including consideration of local ethics and IRB review	EPID506, EPID664
EPID	Global Health Epidemiology	MPH	Demonstrate contextual expertise in at least one country/region including knowledge of the structure of health systems and the public health infrastructure, as well as major public health intervention programs	EPID665, EPID506

EPID507: Microbial Control: Sterilization, Disinfection and Manipulation

• Graduate level
• Residential
• Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Alex Rickard (Residential);
• Prerequisites: None
• Advisory Prerequisites: Introductory classes in microbiology and biochemistry - contact instructor if in doubt
• Undergraduates are allowed to enroll in this course.
• Description: The influence of microorganisms on human-health is significant and control strategies often rely on the use of physical (heat, UV, etc) and chemical (antimicrobial, antibiofilm, etc) technologies. This course will focus on such endeavors with particular focus on broad acting antimicrobials (less emphasis on antibiotics) and new/remerging microbial control technologies.

EPID511: Introduction to Public Health Genetics

• Graduate level
• Residential
• Fall term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Offered Every Fall
• Prerequisites: Grad status or perm instructor
• Description: This course is designed for those interested in a basic understanding of human genetics who have had only a very limited exposure to biologic sciences. This course will cover the basics of genetics at both the molecular and population level. In addition to the basic science, some ethical, legal, and social implications of genetics research will be examined. Examples relevant to public health will be emphasized.
• This course is cross-listed with in the PUBHLTH 311 department.
• Syllabus for EPID511

EPID513: Vaccine in Public Health

• Graduate level
• Residential
• Fall term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Zhenhua Yang (Residential);
• Prerequisites: PUBHLTH370 or EPID512
• Description: This course introduces essential vaccinology, covering pre-clinical vaccine development, clinical trials, new vaccine licensing, immunization program design and evaluation. It also introduces population transmission dynamics concepts, and the impact of pathogen and human population diversity on vaccination. Recent advancements in major types of non-infectious vaccines will also be discussed.
• This course is cross-listed with in the PUBHLTH413 department.
• Syllabus for EPID513

EPID515: Genetics in Public Health

• Graduate level
• Residential
• Fall term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Jennifer Smith (Residential);
• Offered Every Fall
• Prerequisites: None
• Description: This course is designed for students with biology or genetics background, that are interested in understanding genetics in public health. This course will provide an in depth examination of genetics in public health including newborn screening diseases and practices, fundamentals of population genetics, and the genetics of common chronic diseases.
• Syllabus for EPID515

EPID516: Genomics in Epidemiology

• Graduate level
• Residential
• Winter term(s) for residential students;
• 4 credit hour(s) for residential students;
• Instructor(s): Jennifer Smith (Residential);
• Offered Every Winter
• Prerequisites: Epid 503 or equivalent; Epid 515 or equivalent; Biostat 503 or equivalent
• Description: This course relates genomics to the core public health discipline of epidemiology emphasizing the use of genomics to help describe disease frequency and distribution and to gain insights into biological etiologies. Topics include genetic material in disease, in families and in populations; the investigation of multifactorial traits; model-based linkage analysis; model-free linkage analysis; segregation analysis; allele association and linkage disequilibrium; and gene-gene interactions and gene-environment interactions. Issues related to implementing studies are considered.
• Syllabus for EPID516

EPID525: Clinical and Diagnostic Microbiology

• Graduate level
• Residential
• Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Paul Lephart (Residential);
• Prerequisites: At least 1 prior microbiology course or permission of the instructor
• Description: This course describes methods used by clinical and public health microbiologists to detect clinically relevant microorganisms in patient specimens, and how this information is used in patient management. Students will gain an understanding of processes by which microbiology data is generated and its relevance to clinicians and epidemiologists.
• Syllabus for EPID525

EPID530: Public Health Communication With Diverse Audiences

• Graduate level
• Residential
• Fall term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Ella August (Residential);
• Offered Every Fall
• Prerequisites: none
• Description: Students will learn the structure, conventions, and styles associated with selected communication formats, appropriate for scientific discourse in public health. During the course, students will produce a scientific poster with a "conference-style" abstract, develop and present an oral presentation and explore one practice-oriented writing format in depth.
• Syllabus for EPID530

EPID543: Epidemiology of Viral Diseases

• Graduate level
• Residential
• Fall term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Emily Martin (Residential);
• Prerequisites: Graduate Standing or BIO 207 & BIO 305
• Undergraduates are allowed to enroll in this course.
• Description: The nature of viruses including replication, transmission, pathogenesis, pathology, antigenic relationships and preventive measures
• Syllabus for EPID543

EPID560: Mechanisms of Bacterial Pathogenesis

• Graduate level
• Residential
• Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Alex Rickard (Residential);
• Offered Every Winter
• Prerequisites: Grad Status and Intro Microbiology and Biochemistry or Perm. Instr.
• Description: Microbial structures and their relation to basic mechanisms of bacterial pathogenesis; structure, function, and genetics of bacterial toxins; and host resistance and immunity. Discussions of pathogenic organisms of major public health importance, diseases caused, and their epidemiology.
• Syllabus for EPID560

EPID565: Research in Hospital and Molecular Epidemiology

• Graduate level
• Residential
• Fall, Winter, Spring, Summer term(s) for residential students;
• 1-6 credit hour(s) for residential students;
• Instructor(s): Emily Martin (Residential);
• Offered every year
• Prerequisites: Perm. Instr.
• Description: Investigation of a selected problem planned and carried out by each student. Pertinent literature, investigational approaches, and progress in the investigations are discussed in seminars. May be taken more than once for up to six credits. Usually taken first for one credit. This is the Capstone Course for Hospital and Molecular Epidemiology Students.
• Syllabus for EPID565

EPID582: Molecular Epidemiology And Pathogen Genomics

• Graduate level
• Residential
• Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Evan Snitkin (Residential);
• Offered Every Winter
• Prerequisites: None
• Description: Provides applied training in the generation, analysis, and interpretation of pathogen genomic data in the context of infectious disease outbreaks. Lectures will be reinforced with group projects, journal clubs and extensive hands-on training. Familiarity with the command-line and R basics is a plus, but course will assume no prior background.
• Learning Objectives: Not applicable
• Syllabus for EPID582

Concentration Competencies that EPID582 Allows Assessment On

Department	Program	Degree	Competency	Specific course(s) that allow assessment
EPID	Hospital and Molecular Epidemiology	MPH	Evaluate the use of different molecular tools in an outbreak investigation	EPID582
EPID	Hospital and Molecular Epidemiology	MPH	Appropriately interpret the results of a molecular measure used in an epidemiologic study	EPID582

EPID590: Epidemiological Methods

• Graduate level
• Online MPH only
• This is a first year course for Online students
• Spring-Summer term(s) for online MPH students;
• 3 credit hour(s) for online MPH students;
• Instructor(s): Sara Adar (Online MPH);
• Prerequisites: BIOSTAT 501, PUBHLTH 512
• Description: In this course, we will teach how epidemiologists study the frequency, patterns, and determinants of health in different populations. Students can expect to learn: The terminology, principles, and methods of population-based epidemiologic research; How to critically appraise epidemiological research. The course will be divided into the following three sections: Section 1 will serve as an introduction as to the way in which epidemiologists measure and describe trends in morbidity and mortality as well as the risk factors for these endpoints. In this section we ask: What are the trends? Do they differ by time or place? Where do we get the data to study these trends and how do we know if our information is any good? In Section 2, students will learn how epidemiologists conduct studies to try to understand causality. Here we address the following questions: What is causality? How do we design studies to determine if something increases or reduces the risk of morbidity or mortality? What are the measures that we use to characterize associations and how certain we are in those estimates? Section 3 teaches students to identify situations in which the data that we collect in epidemiological studies can mislead us and lead us to reach the wrong conclusions. Students will learn different types of problems that can bias our conclusions and will develop instincts as to the directionality and magnitude of these biases.
• Learning Objectives: Calculate and interpret measures of event frequency to describe population patterns of health-related risk factors and health-related outcomes in terms of person, place, and time. Identify an unusual occurrence of disease or illness (e.g., an outbreak or disease cluster); Recognize the characteristics that help to define causality; Describe the characteristics of different study designs; Choose an appropriate study design for a research question; Calculate and interpret measures of association between risk factors and outcomes; Compare the strengths and weaknesses of different study designs to assess causality; Identify sources of bias that can influence epidemiological findings; Predict directionality of known biases; Understand basic tools of causal inference in epidemiology; Critically appraise and analyze the weight of evidence for causal associations.

Concentration Competencies that EPID590 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

EPID591: Social Epidemiology: From Frameworks to Policy

• Graduate level
• Online MPH only
• This is a second year course for Online students
• Spring-Summer term(s) for online MPH students;
• 3 credit hour(s) for online MPH students;
• Instructor(s): Tyler James (Online MPH);
• Prerequisites: None
• Description: Why are some groups healthier than others, and how do these differences emerge and persist over the life course? How do social policies (e.g., housing, transportation, employment) relate to health and health inequalities? Why are there health disparities even in countries that have free universal health care? This course will address conceptual models for understanding health disparities in the US and internationally, how population science identifies the main sources of these disparities, and how public health can inform policy efforts to address these disparities.
• Learning Objectives: See competencies below.

Concentration Competencies that EPID591 Allows Assessment On

Department	Program	Degree	Competency	Specific course(s) that allow assessment
Population and Health Sciences		MPH	Recommend evidence-based interventions that engage broad and diverse community stakeholders for population health improvement	PUBHLTH515, EPID591, NUTR597, PUBHLTH511

EPID592: Introduction to Spatial Epidemiology and GIS for Public Health

• Graduate level
• Online MPH only
• This is a second year course for Online students
• Fall term(s) for online MPH students;
• 4 credit hour(s) for online MPH students;
• Instructor(s): Peter Larson, Jonathan Zelner, (Online MPH);
• Offered Every Fall
• 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

EPID594: Key Concepts in Spatial Analysis

• Graduate level
• Online MPH only
• This is a second year course for Online students
• Winter term(s) for online MPH students;
• 2 credit hour(s) for online MPH students;
• Instructor(s): Peter Larson, Jonathan Zelner, (Online MPH);
• 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.

EPID595: Applied Spatial Modeling

• Graduate level
• Online MPH only
• This is a second year course for Online students
• Winter term(s) for online MPH students;
• 3 credit hour(s) for online MPH students;
• Instructor(s):
• Prerequisites: EPID 592 and EPID 594
• Description: The large availability of geographically indexed health data, along with advances in computing, have enabled the development of statistical methods for the analysis of spatial epidemiological data. This course will introduce students to the most commonly used statistical models used to understand spatial variation in disease risk.
• Learning Objectives: By the end of the course students will be able to: (i) Recognize different types of spatial data. (ii) Formulate research questions and determine the appropriate spatial statistical model to analyze the data. (iii) Understand the concept of spatial correlation and how to estimate it in point-level spatial data. (iv) Include spatial random effect in generalized linear models for the analysis of spatial data. (v) Interpret the results of a spatial generalized linear model. (vi) Perform spatial interpolation of point-referenced data over space to predict missing data at unsampled locations. (vii) Smooth disease rates and disease counts over space using multilevel hierarchical models. (viii) Understand the definition of a (disease) cluster. (ix) Obtain a kernel density estimate of the intensity function representing the likelihood of observing a disease case at a given location. (x) Identify clusters of disease cases via appropriate statistical methods. (xi) Formulate statistical models to characterize spatial variation in the distribution of disease cases.

EPID600: Introduction To Epidemiology

• Graduate level
• Residential
• Fall, Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Carrie Karvonen-Gutierrez (Residential);
• Offered Every Fall
• Prerequisites: Current SPH Student
• Advisory Prerequisites: None
• Undergraduates are allowed to enroll in this course.
• Description: This is an introductory Epidemiology course that is required for Epidemiology MPH students and offered as an elective to others. This course provides students with in-depth foundations of epidemiologic theory and practice. The course will cover conceptual and practical issues around the design and conduct of epidemiologic research and the analysis and interpretation of data.
• Syllabus for EPID600

Concentration Competencies that EPID600 Allows Assessment On

Department	Program	Degree	Competency	Specific course(s) that allow assessment
EPID	General Epidemiology	MPH	Describe population patterns of health-related risk factors and health-related outcomes in terms of person, place, and time	EPID600, EPID602
EPID	General Epidemiology	MPH	Compare the relative strengths and weaknesses of common epidemiologic study designs (e.g., cross-sectional, cohort, case-control, randomized experiments)	EPID600, EPID602
EPID	General Epidemiology	MPH	Interpret the impact of bias, confounding, and effect modification on causal inference in epidemiologic research	EPID600, EPID602
EPID	General Epidemiology	MPH	Critically evaluate epidemiological findings from published research studies	EPID600
EPID	Clinical Research-Epidemiology	MS	Discuss the strengths and weaknesses of study designs (e.g., cross-sectional, cohort, case-control, randomized experiments) and the appropriate measure of association for a given study design	EPID600
EPID	Clinical Research-Epidemiology	MS	Describe the causes of random and non-random error in research studies, including information bias, selection bias, and confounding	EPID600

EPID601: Principles And Methods Of Epidemiology

• Graduate level
• Residential
• Fall term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Jennifer Head (Residential);
• Offered Every Fall
• Prerequisites: EPID 600 or departmental permission
• Advisory Prerequisites: Additional courses that are recommended by not required include: BIOSTAT 522 or similar course covering linear regression; experience with R programming language (through courses such as as EPID 639)
• Description: Epid 601 covers foundational concepts, principles, and methods of population-based epidemiologic research. The course expands upon Epid 600 material and is a foundation for subsequent Epid courses. Via theoretical and quantitative instruction, students will learn epidemiologic study design, measures of association, bias characterization and mitigation, statistical analysis, and causal inference.
• Syllabus for EPID601

Concentration Competencies that EPID601 Allows Assessment On

Department	Program	Degree	Competency	Specific course(s) that allow assessment
EHS	Industrial Hygiene	MS	Analyze, interpret, and apply statistical and epidemiological data	PUBHLTH512, EPID601, Thesis
EPID	Occupational and Environmental Epidemiology	MPH	Apply appropriate methods for collecting primary and/or secondary occupational and environmental exposure data and health outcomes for original analysis	EPID601

EPID602: Epidemiologic Data Analysis

• Graduate level
• Residential
• Winter term(s) for residential students;
• 3-4 credit hour(s) for residential students;
• Instructor(s): Elizabeth Levin-Sparenberg, Andrew Brouwer, (Residential);
• Offered Every Year
• Prerequisites: Epid 600, and EPID 639, or permission of the instructor.
• Description: A practicum in epidemiologic data analysis designed to integrate and apply concepts learned in previous biostatistics and epidemiologic methods courses. Students learn practical skills to analyze and interpret epidemiologic data with continuous and dichotomous outcome variables through lectures and hands-on exercises.
• Syllabus for EPID602

Concentration Competencies that EPID602 Allows Assessment On

Department	Program	Degree	Competency	Specific course(s) that allow assessment
EPID	General Epidemiology	MPH	Describe population patterns of health-related risk factors and health-related outcomes in terms of person, place, and time	EPID600, EPID602
EPID	General Epidemiology	MPH	Compare the relative strengths and weaknesses of common epidemiologic study designs (e.g., cross-sectional, cohort, case-control, randomized experiments)	EPID600, EPID602
EPID	General Epidemiology	MPH	Interpret the impact of bias, confounding, and effect modification on causal inference in epidemiologic research	EPID600, EPID602
EPID	Clinical Research-Epidemiology	MS	Analyze research data and interpret these results from a population health or clinical-translational perspective	EPID602, BIOSTAT522

EPID603: Professional Development Seminar

• Graduate level
• Residential
• Fall, Winter term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Laura Power (Residential);
• Offered Every Year
• Prerequisites: None
• Description: EPID 603 is a Winter term course to be taken by OEE, GE, and GHE students in year one. Students are exposed to various topics such as responsible research, ethics, group dynamics, DE&I, and career planning. This course allows GHE, GE, and OEE students to think strategically about their career in Public Health.
• Syllabus for EPID603

EPID604: Applications of Epidemiology

• Graduate level
• Residential
• Fall, Winter, Spring, Spring-Summer, Summer term(s) for residential students;
• 1-4 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: Instructor Permission
• Description: Application of epidemiological methods and concepts to analysis of data from epidemiological, clinical or laboratory studies. Introduction to independent research and scientific writing under faculty guidance.
• Syllabus for EPID604

EPID605: Infectious Disease Epidemiology

• Graduate level
• Residential
• Fall term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Joseph Eisenberg (Residential);
• Offered every year
• Prerequisites: EPID 503 or EPID 600
• Description: Introduction to disease and transmission characteristics, and the descriptive epidemiology of infectious agents. This course will help students to understand the theoretical basis of pathogen transmission and what factors determine patterns of disease occurrence. Students will learn how to apply this understanding to disease prevention and control.
• Syllabus for EPID605

EPID608: Environmental Epidemiology

• Graduate level
• Residential
• Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Alexis Handal (Residential);
• Offered Every Winter
• Prerequisites: Epid 600 or 503, Biostat 553 or 503
• Description: This course will serve as an introduction to topics in environmental epidemiology, covering major areas of current inquiry in this field. It will convey the basic tools required to critically read the literature and to develop appropriate study designs in light of intended applications. The class meeting will include lectures and student-led discussions. This course will review epidemiologic methods used in evaluating the health effects of physical, biological and chemical agents in the environment and the available evidence on the health effects of such exposures. We will also consider policy and public health applications of the scientific evidence. Topics include lectures on methodology and major environmental exposures, discussions based on review and critiques of current literature, and presentations by outside experts on specific environmental epidemiology issues of current interest. After taking this course, students should have a better understanding of the scope, limitations, applications and future of environmental epidemiology.
• This course is cross-listed with EHS 608 in the Environmental Health Sciences department.
• Syllabus for EPID608

Concentration Competencies that EPID608 Allows Assessment On

Department	Program	Degree	Competency	Specific course(s) that allow assessment
EPID	Occupational and Environmental Epidemiology	MPH	Design an epidemiologic study of an environmental or occupational factor and a health outcome that tests one or more specific hypotheses	EPID608, EHS608

EPID617: Social epidemiology II: Social and economic determinants of population health

• Graduate level
• Residential
• Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Lindsay Kobayashi (Residential);
• Prerequisites: EPID 514 or permission of instructor
• Description: The objective of this course is to examine, in depth, some of the key social determinants of health in populations. The course is organized around substantive topic areas (e.g. obesity, disability, mental health, youth and substance abuse, stress and social support, neighborhoods and environments), with a focus on understanding the role of social factors in shaping health. The course draws heavily on epidemiologic perspectives and methods as tools to improve our understanding of population health, and is designed to expose students to different methodological approaches and their strengths/limitations in defining population health, understanding its determinants, and assessing the mechanisms by which these determinants influence population health. The course is a combination of lectures and student discussions, with an emphasis on class participation.
• Syllabus for EPID617

EPID621: Cancer Epidemiology

• Graduate level
• Residential
• Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Alison Mondul (Residential);
• Offered Every Winter
• Prerequisites: EPID 503, EPID 600 or PUBHLTH 512; or PhD standing
• Description: The course will review the socio-demographic magnitude of cancer, basic concepts of cancer biology and the causes of cancer. Methods for evaluating genetic factors, tobacco, alcohol, radiation, chemicals, pharmaceuticals, viruses and nutrition will be reviewed in lectures and by classroom discussion of selected publications.
• Syllabus for EPID621

EPID624: Readings in Epidemiology

• Graduate level
• Residential
• Fall, Winter, Spring, Summer term(s) for residential students;
• 1-2 credit hour(s) for residential students;
• Instructor(s): Laura Power (Residential);
• Offered Every Year
• Prerequisites: Perm. Instr.
• Description: Review of literature on selected subjects under guidance of individual faculty members and through scheduled seminars at which reports are presented. May be elected more than once.

EPID625: Controversial topics in the role of nutrition on chronic disease

• Graduate level
• Residential
• Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Ana Baylin (Residential);
• Prerequisites: EPID 600 or EPID503 AND BIOSTAT 501 or BIOSTAT 521
• Undergraduates are allowed to enroll in this course.
• Description: This public health-oriented course will provide students the opportunity to advance their knowledge in nutrition and chronic disease research from a population perspective and help them to better interpret epidemiologic studies on nutrition and chronic disease.
• This course is cross-listed with EPID625/NUTR626 in the Epidemiology and Nutritional Sciences department.
• Syllabus for EPID625

EPID633: Introduction to Mathematical Modeling in Epidemiology and Public Health

• Graduate level
• Residential
• Fall term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Michael Hayashi (Residential);
• Offered Every Fall
• Prerequisites: None
• Description: This course serves as a basic introduction to math modeling in epidemiology, with examples drawn broadly from infectious disease, chronic disease, and social epidemiology. The goal of this course is to give students basic familiarity with a wide range of topics and methods in mathematical modeling for epidemiology.
• Syllabus for EPID633

EPID634: Foundations in infectious disease transmission modeling

• Graduate level
• Residential
• Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Joseph Eisenberg (Residential);
• Offered Every Winter
• Prerequisites: EPID 600, BIOSTATS 503, 553, or another course that provides a similar background in probability and statistics
• Description: Infectious disease transmission modeling provides a theoretical framework for the field of infectious disease epidemiology; i.e., it provides a basis for thinking about study design, data analysis, and decision making. This course will serve as an introduction to infectious disease transmission modeling, teaching more quantitative concepts of disease transmission.
• Syllabus for EPID634

EPID637: Systems Modeling Of Behavior, Social Processes And Chronic Disease

• Graduate level
• Residential
• Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Michael Hayashi (Residential);
• Prerequisites: None
• Description: This course covers applications of mathematical and computational modeling to behavior, social processes, and chronic disease. Methods include game theory, agent-based, and network modeling, and natural history models of chronic diseases. Students will learn to develop models in Python. Coursework includes computer lab exercises and a final modeling project.
• Syllabus for EPID637

EPID638: Computer Modeling Of Complex Systems

• Graduate level
• Residential
• Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Marisa Eisenberg (Residential);
• Prerequisites: None
• Undergraduates are allowed to enroll in this course.
• Description: This course is focused on agent-based models (ABMs), applied to a range of social, biological, and epidemiological problems (as well as other systems potentially). We also cover several other modeling areas such as networks, cellular automata, basic probability distributions and statistics, computer programming, and a review of important ABM papers.
• Learning Objectives: Explain the role of quantitative and qualitative methods and sciences in describing and assessing a population's health Explain an ecological perspective on the connections among human health, animal health and ecosystem health (e.g., One Health)
• This course is cross-listed with CMPLXSYS 530 in the Literature, Science and Arts department.
• Syllabus for EPID638

EPID639: R For Epidemiologic Research

• Graduate level
• Residential
• Fall term(s) for residential students;
• 2 credit hour(s) for residential students;
• Instructor(s): Kelly Bakulski (Residential);
• Prerequisites: Must be a current EPID graduate student
• Advisory Prerequisites: Must be a current EPID graduate student
• Description: This course will introduce the R statistical programming language, as implemented through Posit software, for epidemiologic data analysis. The overall goal of the course is to provide students with a set of new data analysis tools for Epidemiology using R through Posit.
• Learning Objectives: 1. Understand what R is and why we use Posit 2. Become familiar with Posit Cloud interface 3. Identify file paths for locations of files within an R project 1. Adapt Quarto markdown YAML header code for multiple report types (.pdf, .html, .docx) 2. Render Quarto markdown files (.qmd) to produce reports that contain both code and output 1. Classify R object types (vector types, data frames) 2. Implement functions to perform actions on data objects 3. Use R as a calculator 1. Apply functions to import and export datasets 3. Explore a newly imported data frame 1. Implement best practices for tidy coding and file organization 2. Use the help viewer to assess new functions and function default settings 3. Practice parsing error/warning messages and troubleshooting solutions in code 4. Identifying online resources for solving coding issues 5. Perform logic checks by comparing expected and observed output 1. Select columns in a data frame 2. Order and filter dataset rows based on participant criteria 3. Join multiple data frames into one 1. Create new variables from existing variables 2. Understand how to code and wrangle missing data 1. Understand the required and optional components of a scatterplot with ggplot2 2. Prioritize plot types (bar chart, histogram, boxplot) based on data types (number and shape of covariates) 1. Describe coding features (labels, limits, colors, legends, size, transparency) for common plot types 2. Generate multipaneled plots to view data by groups 3. Export plots from Posit for use in other programs 1. Based on variable type (continuous, categorical) determine appropriate measures and functions for assessing central tendency and spread 2. Describe univariate and bivariate distributions of variables using central tendency and spread 2. Describe univariate and bivariate distributions of variables using central tendency and spread 2. Describe univariate and bivariate distributions of variables using central tendency and spread2. Describe univariate and bivariate distributions of variables using central tendency and spread 1. Calculate univariate and bivariate statistics 2. Create professional and reproducible descriptive statistics tables for export 1. Review selecting statistical methods by variable characteristics. 2. Implement and interpret output from two category tests: Correlation tests, T-tests, Wilcoxon rank sum test. 3. Implement and interpret output from multiple category tests: ANOVA, Chi-square test, Fisher's exact test 4. Generate and interpret odds ratios 1. Construct and interpret simple & multivariable linear models (continuous and categorical predictor variables) 2. Create professional and reproducible regression output tables for export 3. Create plots for regression diagnostics 1. Apply formats for date objects 2. Describe when to use for loops and how they work 3. Develop custom functions to perform repeated tasks 1. Explore generalized regression function options including for splines, logistic regression, Poisson regression 2. Become familiar with code for matched case-control studies, survival analysis 3. Explore coding mixed effects models for clustered data 4. Try adding weights for complex survey samples 5. Perform a meta-analysis in R

EPID643: Surveillance and Publicly Available Datasets

• Graduate level
• Both Residential and Online MPH
• This is a first year course for Online students
• Fall term(s) for residential students; Fall term(s) for online MPH students;
• 1 credit hour(s) for residential students; 1 credit hour(s) for online MPH students;
• Instructor(s): Miatta Buxton (Residential); Miatta Buxton (Online MPH);
• Offered Every Fall
• Prerequisites: EPID 600
• Description: This course includes an introduction to publicly available datasets and their use in epidemiologic research. Students will be introduced to datasets and will do in-class exercises using these data. This course consists of lectures, in-class exercises, quizzes, and a final written assignment.
• Residential Syllabus for EPID643

Concentration Competencies that EPID643 Allows Assessment On

Department	Program	Degree	Competency	Specific course(s) that allow assessment
EPID	General Epidemiology	MPH	Apply core aspects of field methods in epidemiology (e.g., survey design, sampling and power, surveillance)	EPID642, EPID643
Population and Health Sciences		MPH	Compare population health indicators across subpopulations, time, and data sources	PUBHLTH515, BIOSTAT592, EPID590, EPID592, EPID643, BIOSTAT595, BIOSTAT501
Population and Health Sciences		MPH	Estimate population health indicators from high quality data resources from diverse sources	PUBHLTH515, EPID643, NUTR590, BIOSTAT592, BIOSTAT501

EPID644: Contemporary Methods

• Graduate level
• Residential
• Fall term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Eduardo Villamor (Residential);
• Offered Every Fall
• Prerequisites: EPID 600
• Description: Overview of contemporary methodologic topics in epidemiology
• Syllabus for EPID644

EPID662: Methods In Nutritional Epidemiology

• Graduate level
• Residential
• Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Eduardo Villamor (Residential);
• Prerequisites: PUBHLTH 500 or PUBHLTH 512 or EPID 600 or equivalent
• Description: This course focuses on the design, conduct, analysis and interpretation of epidemiologic studies addressing diet, human health and disease. The course will review methodological issues in quantitative epidemiological studies, including dietary assessment methods, sources of variation in the diet, energy intake, measurement error, anthropometry and body composition, biomarkers of dietary intake, dietary patterns analysis, and gene-diet interactions. Students will advance their knowledge in nutrition research from a population perspective and gain experience in the collection, analysis, and interpretation of dietary intake data. Didactic lectures, active participation by students, computer exercises, and homework are utilized to allow students to gain hands-on experience on nutritional epidemiologic data analyses. Intended for second year graduate students (Masters and Ph.D.); knowledge in nutrition is highly desirable although not required.

EPID663: Health, Evidence, and Human Rights

• Graduate level
• Residential
• Fall term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): C. Leigh Pearce (Residential);
• Offered Every Fall
• Prerequisites: Graduate Standing
• Description: The ability to generate and interpret evidence is critical to addressing human rights abuses both in the courts and through national and multilateral policies. This course will use case studies to examine how to frame population research priorities and designs from a human rights perspective.

EPID664: Field Methods In Global Health Epidemiology

• Graduate level
• Residential
• Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Alexis Handal (Residential);
• Offered Every Winter
• Prerequisites: Foundations in epidemiology (met by either PH512, PH500, EPID 600 or EPID 601) and foundations in global health (met by EPID506), or permission of the instructor.
• Description: This course is for global health epidemiology students preparing for internships in global settings. Students will learn procedures necessary to conduct epidemiologic studies in international settings, including developing relationships with foreign collaborators, obtaining funding and ethical approval, and managing field operations. Students will discuss case studies in global health ethics.
• Syllabus for EPID664

Concentration Competencies that EPID664 Allows Assessment On

Department	Program	Degree	Competency	Specific course(s) that allow assessment
EPID	Global Health Epidemiology	MPH	Apply the steps in developing research infrastructure for population health studies in low- and middle-income countries, including consideration of local ethics and IRB review	EPID506, EPID664
EPID	Global Health Epidemiology	MPH	Develop strategies and capacity for resolving problems that arise when conducting epidemiology studies in low- and middle-income countries	EPID664, EPID665

EPID665: Research Seminar in International Health

• Graduate level
• Residential
• Winter term(s) for residential students;
• 2 credit hour(s) for residential students;
• Instructor(s): Marie O'Neill (Residential);
• Offered Every Winter
• Prerequisites: Perm. Instr.; restricted to 2nd year Epidemiology International Health MPH students
• Description: The seminar provides a forum for the discussion of capstone research projects in international health. Students in both the General Epidemiology and the Hospital and Molecular Epidemiology tracks of the International Health Program present their research findings. In addition, the seminar includes presentations of international health research by other speakers from the University and elsewhere.

Concentration Competencies that EPID665 Allows Assessment On

Department	Program	Degree	Competency	Specific course(s) that allow assessment
EPID	Global Health Epidemiology	MPH	Develop strategies and capacity for resolving problems that arise when conducting epidemiology studies in low- and middle-income countries	EPID664, EPID665
EPID	Global Health Epidemiology	MPH	Demonstrate contextual expertise in at least one country/region including knowledge of the structure of health systems and the public health infrastructure, as well as major public health intervention programs	EPID665, EPID506

EPID666: Health and Socioeconomic Development

• Graduate level
• Residential
• Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Howard Stein (Residential);
• Offered Every Winter
• Prerequisites: Grad Status
• Description: Reviews links between health conditions and socioeconomic development in low-income countries and trends in health and development indicators; socio-economic determinants of health, including poverty and income, education, nutrition, fertility, and culture and behavior; impact of globalization in terms of neo-liberal policies, trade and capital flows and the urbanization and their growth of the informal economy; examines the effects of health changes on economic growth and development.
• This course is cross-listed with 662 in the CAAS department.
• Syllabus for EPID666

EPID667: Professionalism, Practice, And Communication 1

• Graduate level
• Residential
• Fall term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Emily Martin (Residential);
• Prerequisites: Must be a current student in an Epidemiology program.
• Advisory Prerequisites: For MPH students, intended to be taken in the first fall semester
• Description: This course will introduce students to the field of epidemiology including needed professionalism and communication skills. This course will guide students through the Applied Practice Experience (APEx), help them prepare for internship and career opportunities, address responsible, ethical, and respectful engagement, and introduce students to careers in public health.
• Learning Objectives: Present the history and foundations of public health and specifically the field of epidemiology. Introduce students to the necessary tools for engaging in the profession of epidemiology, including professional communication and resume preparation Train students in ethics, responsible conduct of research, and best practices for community practice and engagement Familiarize students with the APEx requirements and process Provide students the opportunity to engage in real-world public health settings and / or with practicing professionals.
• Syllabus for EPID667

EPID668: Professionalism, Practice, And Communication 2

• Graduate level
• Residential
• Winter term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Emily Martin (Residential);
• Prerequisites: Must be a current student in an Epidemiology Program
• Advisory Prerequisites: EPID667
• Description: This course will introduce students to the field of epidemiology including needed professionalism and communication skills. This course will guide students through the Applied Practice Experience (APEx), help them prepare for internship and career opportunities, address responsible, ethical, and respectful engagement, and introduce students to careers in public health.
• Learning Objectives: Introduce a range of formats for professional communication, leading students to be able to identify and/or create effective written and oral arguments within each of the communication formats we cover in this course. Train students in principles of secure data management, data sharing, reproducibility and open science. Familiarize students with regulatory processes in public health research. Provide students with small-group support in finding and completing APEx and other academic and practice opportunities. Provide students the opportunity to engage in real-world public health settings and / or with practicing professionals.

EPID669: Professionalism, Practice, And Communication 3

• Graduate level
• Residential
• Fall term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Emily Martin (Residential);
• Prerequisites: Must be a current student in an Epidemiology program
• Advisory Prerequisites: Prior completion of EPID667 and EPID668
• Description: This course will introduce students to the field of epidemiology including needed professionalism and communication skills. This course will guide students through the Applied Practice Experience (APEx), help them prepare for internship and career opportunities, address responsible, ethical, and respectful engagement, and introduce students to careers in public health.
• Learning Objectives: Reflect on internship and applied practice experiences Document completing of the Applied Practice Experience (APEx) with submission of final products Explore relevant resources in the SPH Career Development Office Develop mentoring skills Further refine communication and review skills Determine individual professional development goals Explore various careers in epidemiology Prepare for graduation and next steps

EPID670: Integrated Problem Solving In Epidemiology 1

• Graduate level
• Residential
• Fall term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Abram Wagner (Residential);
• Prerequisites: Current or past enrollment in PUBHLTH 500. This course is only for EPID MPH students.
• Description: This class is the first semester of a year-long capstone course for master’s students in epidemiology. The course advances students’ analytical skills in developing epidemiological research questions, performing power and sample size calculations, and designing data collection instruments. Students will apply concepts into individual data analysis and writing projects.
• Learning Objectives: To develop an epidemiological research question based on the current scientific literature and using an existing dataset. To perform power calculations and sample size calculations for a given research question and study population. To assess measurement error and biases in an existing dataset.

EPID673: Epidemiology of Developmental Origins of Health and Disease

• Graduate level
• Residential
• Winter term(s) for residential students;
• 2 credit hour(s) for residential students;
• Instructor(s): Eduardo Villamor (Residential);
• Prerequisites: BIOSTAT 521 and EPID 600
• Description: This course will survey both classic and emerging literature describing the DOHaD paradigm from an epidemiological perspective. The course will have a structured discussion format.
• Learning Objectives: Through analysis and discussion of research papers in the field, students will be able to: 1) Identify sources of bias in DOHaD research and anticipate their potential effects on estimates of association; 2) Weight evidence on DOHaD according to the relative methodological strength of epidemiological reports; 3) Distinguish strengths and limitations of family studies and randomized trials in DOHaD epidemiology; 4) Link indicators used in epidemiological studies with the underlying biological processes they intend to measure; 5) Integrate evidence from different sources into conceptual frames on DOHaD topics; 6) Understand different strategies for analysis of epidemiological data in DOHaD research. In addition, this course will cover the following learning objective from the Council on Education for Public Health (CEPH): LO3. Explain the role of quantitative and qualitative methods and sciences in describing and assessing a population's health.
• Syllabus for EPID673

EPID674: Epidemiologic Data Analysis Using R

• Graduate level
• Online MPH only
• This is a second year course for Online students
• Winter term(s) for online MPH students;
• 2 credit hour(s) for online MPH students;
• Instructor(s): Michael Hayashi (Online MPH);
• Offered Every Year
• Prerequisites: None
• Advisory Prerequisites: (EPID 640, PH 512) or (EPID 600, BIOSTAT 521 or 501)
• Description: This course introduces the R statistical programming language for epidemiologic data analysis. Content focuses on organizing, managing, and manipulating data; basic graphics in R; and descriptive methods and regression models widely used in epidemiology. The 2-credit option includes statistical modeling in R. The 3-credit option adds programming in R.
• Residential Syllabus for EPID674

EPID675: Data Analysis for Environmental Epidemiology

• Graduate level
• Residential
• Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Sung Kyun Park (Residential);
• Offered Every Winter
• Prerequisites: BIOSTAT 560 and EPID 503 or 600
• Description: This course will introduce non-parametric smoothing methods, such as splines, locally weighted polynomial regression (LOESS) and generalized additive models (GAM), and focus on continuous environmental exposure variables. It will also deal with analysis of multi-level data including analyses of longitudinal data and complex sampling data, and time-series analysis that are widely used in environmental epidemiology. The course will cover how to handle limits of detection in environmental exposure data. It will provide an opportunity to analyze actual population data to learn how to model environmental epidemiologic data, and is designed particularly for students who pursue environmental epidemiologic research. The course will consist of lectures and hands-on practices in computer labs, homework assignments and final projects. R, a free software environment for statistical computing and graphics, will be used.
• This course is cross-listed with EHS675 in the Environmental Health Sciences department.
• Syllabus for EPID675

EPID677: Epidemiology of Aging

• Graduate level
• Residential
• Fall term(s) for residential students;
• 2 credit hour(s) for residential students;
• Instructor(s): Lindsay Kobayashi (Residential);
• Offered Every Fall
• Prerequisites: None
• Description: This course will address the epidemiology of aging from a public health perspective covering epidemiologic studies of disease, functional status, and well-being in late-life. The course is taught in seminar format, with in-class discussion of selected readings. Course evaluations will be based on class participation and a term paper.
• Syllabus for EPID677

EPID678: Applications Of Epidemiology In Governmental Public Health

• Graduate level
• Residential
• Fall term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Laura Power (Residential);
• Prerequisites: None
• Advisory Prerequisites: EPID 600 or EPID 639 or permission of instructor
• Description: Students will learn to apply their epidemiological training in real-world public health settings. The course will focus on teaching the most common communicable diseases and emerging issues likely to be faced by epidemiologists in a governmental public health department through lectures, interactive sessions, and applied projects.
• Learning Objectives: Students should be able to: - Understand role and functions of local, state, and federal public health organizations 1 - Summarize surveillance systems used by public health organizations - Summarize reportable diseases in Michigan and nationally - Understand how to navigate resources for reportable diseases and emerging threats - Describe the epidemiology, clinical characteristics, disease prevention, and control measures for the most common reportable diseases 2 - Understand how to collect data for communicable disease investigations, outbreak investigations, and emerging public health issues 3 - Describe how to import, clean, transform and analyze data to support public health investigations and surveillance - Explain how to effectively communicate findings to an interdisciplinary team - Describe how to translate a general public health question into a SMART applied analysis - Understand how to manage an applied analysis project from concept through delivery

EPID679: Epidemiology of Psychiatric and Substance Use Disorders

• Graduate level
• Residential
• Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Michael Swain (Residential);
• Offered Every Winter
• Prerequisites: None
• Advisory Prerequisites: EPID602
• Description: Introduces the epidemiology of psychiatric and substance use disorders. Addresses conceptual and methodological considerations in psychiatric research, descriptive and analytic epidemiology of common psychiatric and substance use disorders, and issues of classification and measurement for epidemiologic research. Students analyze epidemiologic data pertaining to psychiatric and substance use disorders.
• Learning Objectives: Upon completing this course students will be able to: -Describe the epidemiology of the major psychiatric and substance use disorders of childhood, adulthood, and late adulthood -Understand epidemiologic methods used to assess psychiatric and substance use disorders in the community -Demonstrate the ability to critically assess epidemiologic data and scientific articles pertaining to psychiatric and substance use disorders -Demonstrate ability to obtain and analyze various epidemiologic data sources with information pertaining to psychiatric and substance use disorders -Prepare a scientific paper pertaining to epidemiology of psychiatric or substance use disorders -Improve public communication skills through class presentations and discussions
• Syllabus for EPID679

EPID680: Hospital Epidemiology I

• Graduate level
• Residential
• Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Zhenhua Yang (Residential);
• Offered Every Winter
• Prerequisites: None
• Description: The course provides an overview and essential knowledge in hospital epidemiology. It covers healthcare associated infection surveillance, prevention, and control, healthcare outcome assessment, and healthcare employee health promotion. The course also discusses important emerging issues in healthcare settings, which include antibiotics resistance, emerging infectious diseases, and biological disaster preparedness.

Concentration Competencies that EPID680 Allows Assessment On

Department	Program	Degree	Competency	Specific course(s) that allow assessment
EPID	Hospital and Molecular Epidemiology	MPH	Apply epidemiologic principles to the design and implementation of interventions in a healthcare setting	EPID680
EPID	Hospital and Molecular Epidemiology	MPH	Apply principles of antibiotic stewardship	EPID680

EPID681: Hospital Epidemiolgy II

• Graduate level
• Residential
• Fall term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Betsy Foxman (Residential);
• Offered Every Fall
• Prerequisites: EPID680
• Description: This course will provide skill in use of surveillance techniques for HAIs, concepts of asepsis, disinfection and sterilization evaluation. Students will have opportunities to work through real-life experiences in infection control, including communicable disease exposures, outbreak investigation, biodisaster exercises, risk assessment in the healthcare setting and infections in special populations.
• Syllabus for EPID681

EPID685: Measurement And Modeling In Space-time Epidemiology

• Graduate level
• Residential
• Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Douglas Wiebe (Residential);
• Prerequisites: None
• Advisory Prerequisites: None
• Description: Focused on measuring exposure based on where and how people spend time to understand health effects, including intermittent and abrupt-onset events, common in injury epidemiology. Emphasis on the temporal-spatial scale relevant to a given exposure-outcome question. Teaches coding to analyze data to test hypotheses while avoiding pitfalls including autocorrelation.
• Learning Objectives: Recall the features and strategy of Rothman's sufficient cause model. Differentiate early and late occurring risk factors for a given injury or disease. Classify the induction period for an exposure as it related to occurrence of an injury or disease. Classify data collection methods according to their suitability for a given exposure-outcome relation. Recognize which data collection methods (eg, realtime monitoring via wearable devices; responses to prompts received on smartphone in ecologic momentary assessment (EMA)) are feasible for a given research question and epidemiologic study design. Learn basic steps to collect data and learning coding to clean and analyze data that have temporal and spatial components (in R, SAS, or Stata). List the dimensions of Haddon's Matrix. Populate Haddon's Matrix for a given injury or disease prevention effort.

EPID701: Fundamentals of Biostatistics

• Graduate level
• Residential
• Summer term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Hui Jiang (Residential);
• Prerequisites: none
• Description: This course teaches the statistical methods and principles necessary for understanding and interpreting data used in public health and policy evaluation and formation. Topics include descriptive statistics, graphical data summary, sampling, statistical comparison of groups, correlation, and regression. Students will learn via lecture, group discussions, critical reading of published research, and analysis of data.

EPID702: Analysis With Missing Data In Epidemiology

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Lu Wang (Residential);
• Prerequisites: None
• Advisory Prerequisites: Required: introduction to statistical inferences, such as likelihood estimations, and regression models; Recommended: correlated and longitudinal data analysis
• Undergraduates are allowed to enroll in this course.
• Description: This course discusses both statistical theory and methodology aimed at addressing ongitudinal studies, drop-out, selection model, and pattern-mixture model. Overall, this course covers both applied and theoretical aspects related to statistical analysis with missing data.
• Learning Objectives: Overall, this course covers both applied and theoretical aspects related to statistical analysis with missing data.

EPID703: Applied Infectious Disease Modeling

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Andrew Brouwer (Residential);
• Prerequisites: None
• Advisory Prerequisites: Experience with modeling or good quantitative background, including statistics and differential equations; familiarity with R software.
• Description: Infectious disease modeling is increasingly being used to inform policy, practice, and research. This course will provide an introduction to the epidemiological and mathematical concepts underlying infectious disease modeling as well as the application of these concepts through hands-on model implementation.

EPID706: Mixed Methods In Epidemiologic Research

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Advisory Prerequisites: An entry-level qualitative research course or equivalent experience is helpful. In addition, an introduction to quantitative research such as a course on statistics and research design or equivalent experience is helpful.
• Undergraduates are allowed to enroll in this course.
• Description: Participants will gain knowledge of the foundations of mixed methods research, mixed methods quality criteria, major mixed methods research designs, the value added of mixed methods research, and legitimation and validation concepts. Through an interactive, problem-based approach, attendees will develop skills in designing a mixed methods study throughout the course.
• Learning Objectives: The intent of this course is to provide an overview of mixed methods research to learners who already have some familiarity with quantitative and qualitative research

EPID707: Nutritional Epidemiology

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Eduardo Villamor (Residential);
• Prerequisites: EPID 701 or EPID 503 or EPID 600 or EPID 601 AND EPID 709 or BIOSTAT 501 or BIOSTAT 521
• Description: This course focuses on the design, analysis, and interpretation of epidemiologic studies addressing diet and health. The course will provide quantitative practical skills to deal with methodological issues around dietary assessment methods, sources of variation in the diet, energy intake, measurement error, anthropometry and body composition, and biomarkers of intake.

EPID708: Machine Learning for Epidemiologic Analysis in the Era of Big Data

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Advisory Prerequisites: Introductory course in statistics as well as courses or working knowledge of basic regressions (linear, logistic, etc.). Having some background in the programming language R preferred.
• Description: Course focuses on advances in machine learning and its application to causal inference and prediction via Targeted Learning, which allows the use of machine learning algorithms for prediction and estimating so-called causal parameters, such as average treatment effects, optimal treatment regimes, etc. We will discuss implementation via cloud computing.

EPID719: Bioinformatics Analysis Of Epigenomics Data

• Graduate level
• Online MPH only
• Instructor(s):
• Prerequisites: None
• Advisory Prerequisites: Basic Epi Basic Biostats
• Undergraduates are allowed to enroll in this course.
• Description: This course is to provide students with bioinformatics tools to analyze and interpret epigenomics data in the setting of epidemiological studies. Topics to be included: epigenome-wide association studies (EWAS), differentially methylated region (DMR) analysis, and estimation of different epigenetic clocks. Data management and analyses will be carried out in R.

EPID720: Applied Mediation Analysis

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: none
• Description: The course will approach concepts and methods for mediation from the perspective of the counterfactual framework. Mediation analysis quantifies the extent to which the effect of an exposure on some outcome is mediated through a particular intermediate and the extent to which it is direct or through other pathways. Definitions, identification results and statistical techniques related to mediation analysis will be covered. The course will clarify the assumptions required for the estimation of direct and indirect effect and will extend the approach to mediation typically employed in epidemiology and the social sciences to settings with interactions, non-linearities, and time-varying exposures. Prerequisite: Familiarity with regression analysis and potential outcomes.
• Learning Objectives: 1.To understand the assumptions of a counterfactual frame in formulating mediation analyses questions 2.To identify different types of causal effects (e.g. total, direct, indirect) and their mathematical relations with each other 3.To correctly specify regression models in conducting mediation analyses 2.To master the use of statistical software code to conduct mediation analyses and the interpretation of output

EPID721: Applied Sensitivity Analyses In Epidemiology

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: Introductory epidemiology. Introductory biostatistics or introduction to generalized linear models. Working knowledge of a general statistical software like SAS, Stata or R
• Advisory Prerequisites: An introductory course on causal inference (e.g. EPID 780) is highly recommended
• Description: This course introduces how to think about and conduct sensitivity analyses for uncontrolled confounding, selection bias and measurement error in epidemiologic studies. The course will demonstrate the intuition behind the separate and combined consequences of these sources of bias on estimating and inferring causal effects. It will provide practical quantitative skills for assessing the sensitivity of analytical results to these biases in order to aid credible causal modeling and inference using empirical epidemiologic studies
• Learning Objectives: 1. Learn to articulate the different of impact of uncontrolled confounding, selection bias and measurement error separately and in combination. 2. Learn to depict visually these sources of bias and understand their impact using causal diagrams. 3. Learn to conduct quantitative bias analyses including multiple-bias modeling. 4. Learn to reason about and obtain bias parameters for sensitivity analyses. 5. Learn to apply and interpret probabilistic sensitivity analyses in epidemiologic studies.

EPID722: Foundations Of Clinical Pharmacology In Pharmacoepidemiology

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Description: This course will explore the application of principles in clinical pharmacology (mechanism of action, drug-drug interactions, pharmacokinetics, pharmacodynamics, etc.) to guide study design, interpretation, and clinical relevance for pharmacoepidemiology research.

EPID724: Leadership and Strategic Planning for Public Health

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Laura Power (Residential);
• Prerequisites: none
• Advisory Prerequisites: none
• Description: This course focuses on leadership skills and strategic planning for public health and healthcare professionals with the ultimate goal of readying students for public health 3.0. Students will learn approaches to empower teams and to collaborate across sectors and will practice using systems thinking and policy evaluation as tools for promoting health for individuals and populations. The course will include self-assessment of leadership skills, practice in identifying appropriate leadership and management techniques, and analysis of case studies to understand policy evaluation and systems thinking. Students will be encouraged to bring real-world experience to the class lessons and discussions.
• Learning Objectives: 1. Understand the basic structure of the public health system 2. Describe the reasons for and concepts behind Public Health 3.0 3. Discuss systems thinking mindset and utilize tools of systems thinking 4. List steps in policy analysis and evaluation and apply skills of policy analysis 5. Understand the concept of health in all policies 6. Be familiar with leadership styles in public health 7. Understand the differences in public health management and public health leadership 8. State their own leadership style 9. Apply leadership skills in a case-study 10. Be familiar with tools that are available for policy evaluation, systems thinking, and public health leadership

EPID730: Simulation Modeling of Tobacco Use, Health Effects and Policy Impacts

• Graduate level
• Residential
• Summer term(s) for residential students;
• 2 credit hour(s) for residential students;
• Instructor(s): Jihyoun Jeon, Meza Rafael, (Residential);
• Prerequisites: None
• Advisory Prerequisites: Either tobacco epidemiology or tobacco control knowledge, or familiarity with modeling. For those without modeling background, we recommend taking the EPID 793 Complex Systems Modeling for Public Health Research course first (offered the prior week)
• Undergraduates are allowed to enroll in this course.
• Description: This course will introduce students to the use of simulation modeling to assess the burden of tobacco use on health and project the impact of tobacco control interventions and regulations on use patterns and downstream health effects.
• Learning Objectives: This course will introduce students to the use of simulation modeling to assess the burden of tobacco use on health, and project the impact of tobacco control interventions and regulations on use patterns and downstream health effects

EPID731: Analysis Of Electronic Health Record (ehr) Data

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Xu Shi (Residential);
• Prerequisites: None
• Advisory Prerequisites: Quantitative training, familiarity with traditional regression methods, basic epidemiologic principles, and working knowledge of R. The course will be instructed with minimal mathematics formulas and will include comprehensive examples to facilitate a bro
• Undergraduates are allowed to enroll in this course.
• Description: To gain knowledge of the process of cleaning and abstracting EHR data to create analytic datasets, attain a broader understanding the secondary use of EHR data for research, with a focus on epidemiologic principles including the role of study design, bias, and generalizability
• Learning Objectives: This short course will offer an overview of modern analytical methods and research applications using EHR data, with a specific focus on epidemiologic inferences. Upon completion of the course, participants will i) gain knowledge of the process of cleaning and abstracting EHR data to create analytic datasets, ii) attain a broader understanding of the opportunities and challenges of the secondary use of EHR data for research, with a focus on epidemiologic principles including the role of study design, bias, and generalizability, iii) explore and gain hands-on experience using EHRs from Michigan Medicine, and iv) be prepared to generate and further explore new questions and perspectives.

EPID733: Quasi-experimental Methods In Epidemiology

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: No
• Advisory Prerequisites: familiarity with introductory epidemiology (e.g., confounding), and introductory biostatistics (e.g., expectation, laws of probability, linear regression); and some background in either Stata or R.
• Description: The course will cover the concepts, assumptions, statistical techniques, and empirical applications of these methods in the literature. Upon completion of the course, students will be able to critique the quality of a research paper that uses these methods and be able to conduct basic analyses in Stata or R.
• Learning Objectives: Currently, the cluster on causal inference at SSE includes full courses on causal inference fundamentals, mediation analysis, sensitivity analysis, and machine learning. However, there is no systematic coverage on 1) instrumental variable analysis, 2) difference-in-differences methods, and 3) regression discontinuity design. This proposed course will fill in this gap. These tools have found

EPID734: Epidemiologic Data Collection, Management, And Harmonization

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Advisory Prerequisites: The course does not presume any background in data collection, management or harmonization methods; however, prior experience in designing or conducting health research projects is helpful.
• Undergraduates are allowed to enroll in this course.
• Description: provide an overview of techniques for data collection, management and harmonization to learners who plan to conduct or are already engaged in health research and would like to gain familiarity with methods aimed at generating quality data for hypothesis testing and sharing purposes
• Learning Objectives: The intent of this course is to provide an overview of techniques for data collection, management and harmonization to learners who plan to conduct or are already engaged in health research and would like to gain familiarity with methods aimed at generating quality data for hypothesis testing and sharing purposes.

EPID742: Generalized Linear Models

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Kevin (Zhi) He (Residential);
• Prerequisites: None
• Advisory Prerequisites: Introductory level courses in epidemiology and biostatistics.
• Description: Course will cover regression methods for continuous, binary, and count data. The majority of epidemiologic data involve either binary or count data, and binary data often arise from underlying continuous data. Therefore, linear , logistic ,and Poisson regression analyses are important analytic approaches that provide valuable insights into data collected.

EPID743: Applied Linear Regression

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: Intro Epidemiology and Biostatistics and Perm. Instr
• Description: This course is an introduction to the most powerful analysis technique in statistics: linear regression. This course discusses the applications of linear regression models to medical research and public health data. We will focus on the two major goals of linear models: (1) Explanation: the estimation of associations, and (2) Prediction: the use of models to predict subject outcomes, as with diagnostic tests. Specific topics include graphical exploratory data analysis, assumptions behind simple and multiple linear regression, use of categorical explanatory variables, identification of appropriate transformations of explanatory and/or outcome variables, assessment of predictor/outcome associations through hypothesis testing, identification of confounding and effect modification, assessment of model fit, and model selection techniques.

EPID761: Social Determinants Of Population Health

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Advisory Prerequisites: Intro Epidemiology and Biostatistics courses
• Undergraduates are allowed to enroll in this course.
• Description: Introduce how social factors affect health. Survey social determinants of health literature to provide basic substantive knowledge on differential patterns of health across individual and contextual levels. Discuss methodological approaches to systematic assessment of health disparities, conceptualizing and measuring social exposures, examining contextual factors, and estimating policy impacts.

EPID762: Analysis of Complex Sample Survey Data

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: . A first course in survey sampling or research methods and a basic understanding of sampling concepts such as stratification, cluster sampling and weighting is required.
• Description: This course will present a practical overview of modern techniques for analyzing survey data in a way that accounts for the complex features of the sample design that gave rise to the sample of units that was ultimately surveyed

EPID766: Analysis of Longitudinal Data from Epidemiologic Studies

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Ananda Sen (Residential);
• Offered Every Summer
• Prerequisites: P.I.
• Description: It has been popular in epidemiology to conduct longitudinal studies where study participants are followed over time and repeated measurements of interest are obtained. Compared to traditional cross-sectional or case-control studies, longitudinal studies can be more efficient to detect difference of interest, offer more evidence for possible causal inference, etc. However, longitudinal data are likely to be correlated, which presents substantial challenge in analyzing such data. This course will address 1) epidemiologic methods for the design and interpretation of longitudinal studies involving repeated measures and 2) statistical methods appropriate for longitudinal data including generalized estimating equations (GEEs), linear mixed models and generalized linear mixed models. A series of studies will be used to illustrate the major design issues and statistical approaches. Relevant procedures in statistical package SAS will be introduced and appropriate interpretation of results will be emphasized. Prerequisite: Students are expected to have one or two graduate or biostatistics courses on (simple and multiple) linear regression models, categorical data analysis such as logistic regression models, and experience with conducting data analysis using statistical software SAS.

EPID778: Spatial Statistics for Epidemiological Data

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s):
• Prerequisites: None
• Advisory Prerequisites: Previous expericne with R is preferred, not required
• Description: With the increasing availability of geographic information systems, spatial data have become more frequent in many disciplines, including public health and epidemiology. This course aims to provide an introduction to spatial statistical methods for epidemiological data, covering modeling approaches for the two different types of spatial data: point-referenced data, where the geographical coordinates of the observations have been recorded; and areal-averaged data, where summary statistics (e.g., number of disease cases by county, zip code, etc.) are reported for each areal unit. Topics covered include: exploratory analysis for spatial data, covariance functions, kriging, spatial regression; disease mapping, spatial smoothing; point processes, assessment of clustering, and cluster detection. Each lecture will feature a lab component, during which spatial analyses of datasets, made available to the participants, will be performed using the publically available R statistical software

EPID780: Applied Epidemiologic Analysis For Causal Inference

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Advisory Prerequisites: Students should have at least one basic epidemiology course with a working knowledge of regression and other standard statistical methodology common in basic epidemiological analysis.
• Undergraduates are allowed to enroll in this course.
• Description: This course introduces concepts and applications of potential outcomes and structural causal models for the estimation of causal parameters in epidemiologic research. The course will familiarize students with the assumptions underpinning modern causal inference methods and provide a conceptual understanding of standardization/g-computation and inverse probability weighting.

EPID784: Survival Analysis Applied To Epidemiologic And Medical Data

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Douglas Schaubel, Kevin (Zhi) He, (Residential);
• Offered Every Summer
• Prerequisites: An introductory course in (bio)statistics that covers regression is required. Familiarity with a statistical software package is helpful, but example code will be provided in labs.
• Advisory Prerequisites: The mathematical level is completely accessible with knowledge of high school algebra, one semester of calculus, and a one-year course in basic statistical methods.
• Description: The primary objectives of this course are to provide participants with the background required to understand commonly used survival analysis methods and to apply such methods using standard statistical software. The course material relies heavily on examples and intuitive explanations of concepts.

EPID787: An Introduction To Multilevel Analysis In Public Health

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Offered Every Summer
• Prerequisites: None
• Advisory Prerequisites: Introductory course in epidemiology and an introductory course in statistics (i.e. some familiarity with regression modeling).
• Description: This short course will review the rationale for multilevel analysis in public health research, build the statistical theory and practice of these models from the fundamentals of the regression-based approaches and demonstrate a variety of different forms that the models can take, including fixed and random effects, marginal (population average) models and extensions for categorical and survival outcomes. Fitting and interpreting models will be demonstrated using Stata statistical software, and parallel code will also be provided in SAS. Special emphasis will be placed on the strengths and limitations of multilevel analyses in investigating social and group-level determinants of health, and the causal interpretations of estimated parameters.

EPID793: Complex Systems Modeling for Public Health Research

• Graduate level
• Residential
• Summer term(s) for residential students;
• 2 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Description: This course will provide an introduction to two major complex systems science modeling techniques with wide applicability to public health. We will cover an introductory overview of complex systems modeling in general, and systems dynamics and agent-based modeling in particular. We will discuss model applications, best practices, and more advanced practical topics such as team-building, computation, funding, and publication. We will provide extensive hands-on lab experience during each section of the course. At the completion of the course the student will be able to explain current and potential future roles of complex systems science in public health, describe the respective advantages/disadvantages of each method covered, and will be expected to produce a draft proposal for applying one of the two system science methods to a particular problem. Students will become informed consumers of complex systems research, will be prepared to actively participate in interdisciplinary teams using the modeling techniques, and will be well positioned to incorporate systems science methods into their own research. Prerequisite: Relevant background in public health.

EPID798: Epidemiologic Data Analysis using R

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Sung Kyun Park (Residential);
• Prerequisites: Introductory level courses in Epidemiology (e.g., EPID 503 or EPID 600) and Biostatistics (e.g., BIOSTAT 503 or BIOSTAT 553). Experience in the use of Windows-based microcomputers. No experience of R is required.
• Description: This course will introduce the R statistical programming language for epidemiologic data analysis. R is a freely available, versatile, and powerful program for statistical computing and graphics. This course will focus on core basics of organizing, managing, and manipulating data; basic graphics in R; and descriptive methods and regression models widely used in epidemiology.

EPID799: Qualitative Methods for Epidemiology

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: none
• Description: This course provides an overview of qualitative research methods that can complement and enhance epidemiologic studies. It is useful for epidemiologists interested in understanding the social, cultural and behavioral aspects of public health issues within communities. Students will learn how to integrate qualitative methods into epidemiology research and how to select appropriate qualitative methods. Sessions will cover: principles of qualitative research, study design, participant recruitment, data collection methods (interviews, group discussion, and observation), writing and presenting qualitative research and assessing research quality. The course uses participatory learning activities to build core skills. The course is valuable for public health professionals, staff at government and non-government agencies focusing on health and disease, graduate students and researchers. Skills learnt in this course will be valuable for conducting epidemiology research and evaluating qualitative research components in funding proposals, projects and publications.

EPID806: History of Epidemiology

• Graduate level
• Residential
• Winter term(s) for residential students;
• 2 credit hour(s) for residential students;
• Instructor(s): Ana Baylin (Residential);
• Last offered Winter 2014
• Not offered 2024-2025
• Prerequisites: EPID601 or similar
• Description: This is a methodology course which focuses on the historical evolution of methods (e.g., study designs) and concepts (e.g., confounding, bias, interaction and causal inference) that constitute today's epidemiology. The course will also include a brief history of Public Health and history of the Department of Epidemiology at Michigan.

EPID811: Critical Appraisal of Epidemiologic Studies

• Graduate level
• Residential
• Fall term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Sara Adar (Residential);
• Prerequisites: Doctoral standing or Perm. Instr.
• Description: This is an introductory course for doctoral students in the epidemiology Ph.D. program. It will proved a unifying examination of epidemiological constructs and their application to the evaluation of the literature. Topics include: Importance of causal relationships; study designs that can demonstrate and test causation; interpretation of results from causation.
• Syllabus for EPID811

Concentration Competencies that EPID811 Allows Assessment On

Department	Program	Degree	Competency	Specific course(s) that allow assessment
EPID	Epidemiologic Science	PhD	Evaluate epidemiological study designs and advanced epidemiological methods, and select the most appropriate method to address a specific study question	EPID811, EPID824, Comprehensive Exam
EPID	Epidemiologic Science	PhD	Demonstrate a thorough understanding of causal inference, sources of bias, and methods to improve the validity of epidemiologic studies	EPID811, EPID824, Comprehensive Exam

EPID815: Modern Statistical Methods In Epidemiologic Studies

• Graduate level
• Residential
• Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Sung Kyun Park (Residential);
• Prerequisites: EPID 601 (or equivalent) and BIOSTAT 522 and BIOSTAT 523 (or equivalent), Experience using R required (at least the levels covered in EPID 674 (Epidemiologic Data Analysis using R)).
• Advisory Prerequisites: BIOSTAT 512 (Longitudinal Analysis) recommended
• Description: This course will cover modern statistical methods in the context of epidemiological applications to address public health problems. This course is intended for PhD students in Epidemiology and related areas. Specific topics may vary each year.
• Syllabus for EPID815

EPID824: Advanced Epidemiologic Methods

• Graduate level
• Residential
• Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Spruha Joshi (Residential);
• Prerequisites: EPID601
• Advisory Prerequisites: EPID600 and EPID601 or equivalent, and doctoral student taking comprehensive exam; other students admitted by permission of instructor
• Description: Advanced epidemiologic methods, with an emphasis on causality in epidemiologic research, theoretical considerations and interpretations of findings.
• Syllabus for EPID824

Concentration Competencies that EPID824 Allows Assessment On

Department	Program	Degree	Competency	Specific course(s) that allow assessment
EPID	Epidemiologic Science	PhD	Evaluate epidemiological study designs and advanced epidemiological methods, and select the most appropriate method to address a specific study question	EPID811, EPID824, Comprehensive Exam
EPID	Epidemiologic Science	PhD	Demonstrate a thorough understanding of causal inference, sources of bias, and methods to improve the validity of epidemiologic studies	EPID811, EPID824, Comprehensive Exam

EPID889: Responsible Conduct of Research and Scholarship Seminar

• Graduate level
• Residential
• Fall, Winter term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Belinda Needham (Residential);
• Prerequisites: None
• Description: This seminar will cover the Responsible Conduct of Research and Scholarship (RCRS) training for all incoming EPID PhD students and other individuals who are affiliated with a training grant. The seminar will also expose students to cutting-edge epidemiologic research topics through departmental talks by experts in the field as well as provide additional professional development training. RCRS is defined by National Institutes of Health as "the practice of scientific investigation [and academia] with integrity. It involves the awareness and application of established professional norms and ethical principles in the performance of all activities related to scientific research [and academia]."
• Syllabus for EPID889

EPID890: Doctoral Seminar in Epidemiology

• Graduate level
• Residential
• Fall, Winter term(s) for residential students;
• 1-2 credit hour(s) for residential students;
• Instructor(s): C. Leigh Pearce (Residential);
• Prerequisites: None
• Description: Doctoral seminar to provide guidance to new doctoral candidates as they write their prospectus, and to provide opportunities to practice the presentation modalities of epidemiology through seminars, poster sessions, and oral presentations.

EPID990: Dissertation Research/Pre-Candidate

• Graduate level
• Residential
• Fall, Winter, Spring, Summer term(s) for residential students;
• 1-8 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Description: For students who have NOT reached candidacy yet.

EPID995: Dissertation Research/Candidate

• Graduate level
• Residential
• Fall, Winter, Spring, Summer term(s) for residential students;
• 8 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Description: Election for dissertation work by doctoral student who has been admitted to status as a candidate

PUBHLTH500: Investigating Public Health Issues

• Graduate level
• Residential
• Fall term(s) for residential students;
• 6 credit hour(s) for residential students;
• Instructor(s): Lynda Lisabeth (Residential);
• Prerequisites: None
• Description: How do we define what constitutes a public health issue? How do we empirically examine health disparities? In the fall semester, you will learn how to investigate and define a pressing public health issue using evidence-based approaches to public health, including calculating and interpreting epidemiological measures and performing statistical analyses, in either Excel or R (depending on your home department requirements). With support from SPH’s informationists, you will learn to identify appropriate resources to support their investigation of how key factors–such as nutritional, environmental, healthcare access and policies, and social determinants of health–impact your team’s public health issue. You will learn to analyze the relative contribution of these factors through key public health frameworks, such as the social ecological model, and through a systems-based approach to public health. Your learning will be supported by a series of formative assessments, including quizzes, reflections, response papers, and problem sets. The fall semester’s work will culminate in each team completing a public health report, an authentic summative assessment that showcases your learning over the course of the semester.
• Learning Objectives: see syllabus

PUBHLTH501: Developing Public Health Solutions

• Graduate level
• Residential
• Winter term(s) for residential students;
• 6 credit hour(s) for residential students;
• Instructor(s): Sharon Kardia (Residential);
• Prerequisites: NONE
• Advisory Prerequisites: NONE
• Description: How do we decide what form of intervention might best address a given public health issue? How do we develop a plan to advocate for a public health intervention? In this course, you will build on your investigation of your team’s public health issue during the fall semester to consider how to develop a culturally-sensitive and effective solution to their team’s problem, whether it be a behavioral, environmental, or policy-based intervention to promote health equity. You will additionally conduct formative research on the need for the intervention, consult key stakeholders and interprofessional experts, and create a plan to evaluate and advocate for their proposed intervention using theories and evidence-based strategies. Your learning will be supported by a series of formative assessments, including quizzes, reflections, case studies, and response papers. The semester’s work will culminate in each team completing a program plan, an authentic summative assessment that showcases students’ learning over the course of the semester.
• Learning Objectives: See syllabus

PUBHLTH512: Principles of Epidemiology for Public Health

• Graduate level
• Both Residential and Online MPH
• This is a first year course for Online students
• Fall, Winter term(s) for residential students; Fall term(s) for online MPH students;
• 3 credit hour(s) for residential students; 3 credit hour(s) for online MPH students;
• Instructor(s): Alison Mondul, Elizabeth Levin-Sparenberg, (Residential); Carrie Karvonen-Gutierrez, C. Leigh Pearce, (Online MPH);
• Prerequisites: SPH MPH and SPH MHSA Residential Students Only or By Instructor Permission
• Advisory Prerequisites: BIOSTAT 501 or equivalent course
• Undergraduates are allowed to enroll in this course.
• Description: This course provides a foundation to the principles of epidemiology for applications to public health. This introductory epidemiology course is for students who are NOT pursuing an Epidemiology MPH. The course will overview the fundamental concepts of epidemiology including measures of frequency and association, study design, data collection and interpretation. This course will have a hybrid style (online & in-class) of instruction.
• This course is required for the school-wide core curriculum

Concentration Competencies that PUBHLTH512 Allows Assessment On

Department	Program	Degree	Competency	Specific course(s) that allow assessment
EHS	Industrial Hygiene	MS	Analyze, interpret, and apply statistical and epidemiological data	PUBHLTH512, EPID601, Thesis

PUBHLTH515: Population Health

• Graduate level
• Online MPH only
• This is a second year course for Online students
• Winter term(s) for online MPH students;
• 3 credit hour(s) for online MPH students;
• Instructor(s): Sharon Kardia (Online MPH);
• Prerequisites: Biostat501 or higher, PubHlth 512 or higher
• Advisory Prerequisites: Pubhlth511
• Description: This course is intended to serve as an introduction to population health from both the vantage point of both public health and healthcare. We will examine the key components of community health needs assessments, how they are used, and how to compare population health assessments across subpopulations and time. We will also explore the epidemiological sources and criteria by which to select high quality data sources to estimate population health indicators and to select evidence-based interventions to improve population health. Finally, we will design of multisector collaborations that support the phases of population health improvement. As a survey of the population health, the course provides an overview for students wishing no more than an introduction to the field, as well as good grounding for students who wish to pursue additional coursework in population health.
• Learning Objectives: 1. Explain differences between population health assessments for public health and healthcare. 2. Understand the key components of community health needs assessments (CHNA). 3. Analyze how public health and healthcare will use a CHNA to improve population health. 4. Estimate key population health indicators for social determinants of health, chronic disease outcomes, and opioid abuse. 5. Categorize data sources by epidemiologic criteria. 6. Analyze differences between subpopulations and across time trends. 7. Design multisector collaborations that support population health improvement. 8. Outline a plan for population health improvement. 9. Recommend evidence-based interventions based on epidemiologic criteria and community suitability.

Concentration Competencies that PUBHLTH515 Allows Assessment On

Department	Program	Degree	Competency	Specific course(s) that allow assessment
Population and Health Sciences		MPH	Analyze the focus and function of population health assessments between public health and health care systems across local, state, and national settings	PUBHLTH515
Population and Health Sciences		MPH	Compare population health indicators across subpopulations, time, and data sources	PUBHLTH515, BIOSTAT592, EPID590, EPID592, EPID643, BIOSTAT595, BIOSTAT501
Population and Health Sciences		MPH	Estimate population health indicators from high quality data resources from diverse sources	PUBHLTH515, EPID643, NUTR590, BIOSTAT592, BIOSTAT501
Population and Health Sciences		MPH	Design multisector collaborations that will support all phases of population health improvement (assessment, planning, implementation, evaluation)	PUBHLTH515, HBEHED590, HBEHED591, PUBHLTH511
Population and Health Sciences		MPH	Recommend evidence-based interventions that engage broad and diverse community stakeholders for population health improvement	PUBHLTH515, EPID591, NUTR597, PUBHLTH511

PUBHLTH615: Public Health in Action: National

• Graduate level
• Residential
• Winter term(s) for residential students;
• 2 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: Permission of Instructor
• Undergraduates are allowed to enroll in this course.
• Description: An intensive course to prepare students for a culminating week-long practice-based experience designed to address existing and emerging public health priorities as defined by the respective communities and their academic partners. Students will be engaged directly with communities and exposed to the contextual, cultural, political and economic factors impacting health.