Led by Dr. Christopher J.L. Murray, IHME has attracted a core of talented researchers who have worked in senior-level positions at the World Health Organization, the World Bank, and in governments all over the world. Over the years, they have created the concepts that have become the foundation for global health, including the disability-adjusted life year, the Global Burden of Disease, and effective coverage. Their work has been cited by researchers more than 32,000 times and has helped guide significant health reforms in Iran and Mexico. Throughout the school year, IHME faculty members teach classes at both the undergraduate and graduate levels at the University of Washington campus and at IHME in downtown Seattle.
Methods, Tools, and Data in Health Metrics and Evaluation (GH539)
IHME Seminar (GH590)
Seminars are intended to provide an opportunity for students to engage in a dialogue about the methods, results, and implications of current research. In addition, the series exposes students to the broad array of issues in completing research projects and the magnitude of work involved in producing salient results.
HME Track Seminar (GH592A)
Supply and Demand of Health and Health Services in Developing Countries (GH490E/590F)
This course examines the demand, supply, and financing of health and health service in developing countries. Each class period is divided into two distinct portions. During the first portion, students will be (1) introduced to a thematic topic; and (2) use theoretical frameworks from the field of economics to interpret that evidence. During this portion of the class, our objective is to identify what we know about these issues. The second portion of each class period will focus on the empirical methodology used to generate and test evidence from data. During this portion, our objective is to understand how we know what we know. Special attention is devoted to drawing causal inference from observational data.
Mortality Analysis for Global Health (GH590A)
This course is designed to introduce students in public health to the fundamentals of demographic analysis on the subject of mortality. Mortality indictors such as child mortality rate, adult mortality rate, maternal mortality rate, infant mortality rate, and life expectancy are routinely used in public health and often used as key benchmark in evaluating public health programs. Thus, it is essential for public health practitioners to understand how these mortality indictors are constructed and how to properly utilize them. This course provides a thorough overview of the conceptual, methodological, and empirical basis for quantifying health among individuals and populations. Students of this course will learn the strengths and limitations in applying the mortality analysis methods introduced in this course, especially in developing countries with limited empirical data.
Global Burden of Disease (GH590G)
This course is designed to introduce students to the concepts, technical components, and quantitative methods for burden of disease measurement. This course focuses predominately on constructing aggregate measures such as years of life lost (YLL), years lived with disability (YLD), and disability-adjusted life years (DALYs). Furthermore, this course will discuss a range of measurement techniques that combine information on mortality and nonfatal health outcomes for a host of different diseases. This course will provide students with an understanding of the methodological and empirical basis for quantifying burden of disease estimates for national and global health priorities. Students will learn how to use sparse data covering mortality, morbidity, causes of death, individual health status, and condition-specific epidemiology to determine levels of health within different populations, particularly in developing countries.
Quantitative Impact Evaluations (GH590)
This course focuses on the application of quantitative techniques for impact evaluation. Special emphasis will be placed on learning when, why, and how methods are applied. The topics covered include classic methods such as instrumental variable, double-difference, regression discontinuity, and matching. In addition, alternative methods such as quantile regression will be introduced.
Interactive Data Visualizations (GH590C)
This course is designed to introduce students to the theory and practice of interactive data visualization for global health. It will provide an overview of the breadth and history of statistical graphics and data visualization, as well as an introduction to user interface and web design and development. It will include substantial hands-on experience building interactive data visualizations through a project-based approach. The course will also touch on the cognitive psychological theories of what works and what does not in statistical graphic communication and how empirical methods can investigate these claims. IDV4GH will give students a broad exposure to the technologies, implementations, and cultures of interactive data visualizations in global health.