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.
Prerequisites: Biostat 501 or Biostat 521, and Graduate Status
Description: This course offers an introduction to the principles, concepts, and methods of population-based epidemiologic research. It is intended to be the introductory course for students who are NOT majoring in Epidemiology. The course is divided into three primary sections: introduction to the basic principles of epidemiology and the measures used in epidemiology; epidemiologic study design and analysis;special topics that are important to an introductory understanding of epidemiology.
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.
Course Goals: The course has three main goals:
(1) Familiarize students with techniques to study the microbial diversity of the human body as well as the diversity of specific environmental systems that interact with the human body. These include drinking water biofilms and microorganisms in food. Research techniques that will be studied include culturing and sampling techniques, genetic approaches (e.g. cloning, 16S rRNA gene sequencing), microscopy and imaging as well as use of model systems such as Robbins devices and flow cells.
(2) Introduce the concept of functional microbiomics, and describe and perform laboratory techniques to investigate microbial diversity. Approaches to discover and interrogate cell-cell interactions between microorganisms will be introduced.
(3) Support students in the development of a model system or project in order to perform a discovery-based or hypothesis-based study of the microbial composition of an polymicrobial environmental sample.
Competencies: 2.A. Biological Variability
1. The nature and complexity of inter-individual variability (biological, biochemical, and physiological) as it affects the study of a disease process.
2. D. Human Physiology and Pathology
1. The biochemical and cellular basis for normal and pathological functioning
2. Interaction among anatomical systems and organs in health and disease.
3. The most important chronic, infectious, and degenerative diseases of humans in terms of the public's health
4. Pathobiology of major diseases integrated with the principles of epidemiology.
5. The impact of host characteristics (e.g., immune response, nutrition, presence of other diseases or infections) on disease outcomes
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.
EPID505 Polymicrobial Communities in Human Health and Disease
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.
Course Goals: The course has three main goals:
(1) Familiarize students with the microbial ecology of the human body and highlight the recent National Institutes of Health strategic initiative that focused on the human microbiome (http://nihroadmap.nih.gov/hmp/). Special focus will be given to particular regions of the human body, including the oral cavity, respiratory tract, gut, urogenital tract and skin.
(2) Introduce the concept of functional microbiomics and describe laboratory techniques to investigate the microbial diversity of regions of the body. Furthermore, approaches to discover and interrogate cell-cell interactions between resident and pathogenic species will be introduced. Research techniques that will be studied include classic genetic approaches (e.g. 16S rRNA gene sequencing), more complex genetic techniques (e.g. denaturing gradient gel electrophoresis and metagenomic sequencing) and approaches to image in-vivo and in-vitro multi-species communities (e.g. electron microscopy and confocal laser scanning microscopy).
(3) Support students in the development of a discovery-based or hypothesis-based study of the microbial composition of a particular region of the human body. This will be presented in the form of an original research proposal that will incorporate current findings from other human microbiome research and will use these findings to study the given region of the body in health and disease.
Competencies: 2. D. Human Physiology and Pathology
1.The biochemical and cellular basis for normal and pathological functioning
2.Interaction among anatomical systems and organs in health and disease.
3.The most important chronic, infectious, and degenerative diseases of humans in terms of the public's health
4.Pathobiology of major diseases integrated with the principles of epidemiology.
5.The impact of host characteristics (e.g., immune response, nutrition, presence of other diseases or infections) on disease outcomes
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
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.
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.
Course Goals: This course has three main goals: (1) Familiarize students with first-line methods to control populations of microorganisms. These methods will be in contrast to the use of antibiotics. First-line methods that will be described include physical and chemical treatment strategies such as heat and filter sterilization, disinfectants, mechanisms and use of broad acting biocides, as well as new emerging technologies such as quorum sensing inhibitors (2) Introduce the concept of multi-species biofilm communities, their recalcitrance and ability to enhance selection of antimicrobial resistance. (3) Discuss strategies that are or could be adopted to enhance microbial control strategies in the domestic, public and medical setting.
Competencies: 2. D. Human Physiology and Pathology Knowledge 1.The biochemical and cellular basis for normal and pathological functioning 2.Interaction among anatomical systems and organs in health and disease. 3.The most important chronic, infectious, and degenerative diseases of humans in terms of the public's health 4.Pathobiology of major diseases integrated with the principles of epidemiology. 5.The impact of host characteristics (e.g., immune response, nutrition, presence of other diseases or infections) on disease outcomes
Description: This course will teach the core principles of evolutionary biology and the special challenges of applying them to problems in psychology and public health. The course will begin with the subset of core principles of evolutionary biology that have particular applications in psychology and public health. Some of the early classes will be divided into subsections so we can match teaching to the backgrounds of students from different areas. It will then survey the fast growing field of evolutionary medicine, what it offers to psychology and public health already, and new applications that are likely to be especially useful. Most of the detailed examples will be from infectious disease and evolutionary aspects of behavioral disorders and behaviors that influence disease susceptibility. The course will close by addressing the challenges of formulating and testing evolutionary hypotheses about why natural selection left our bodies vulnerable to diseases, emphasizing how new research questions emerge from an evolutionary perspective, and new methodologies for rigorously testing evolutionary hypotheses about disease. At the conclusion of the course, participants will understand how core principles of evolutionary biology have been and can be applied to public health problems, and they will have a moderately developed critical capacity for assessing research reports in the area.
Course Goals: Introduce students to basic principles of evolutionary theory, especially as they apply to health and disease, with special emphasis on infectious diseases and behavioral and mental disorders.
Competencies: Be able to define and give examples of the relevant core evolutionary concepts.
Demonstrate familiarity with the techniques and methods used in evolutionary biology.
Demonstrate ability to formulate and plan studies to test evolutionary hypotheses.
Be able to critically review and analyze applications of evolutionary theory in the scientific literature.
Learning Objectives: Learn how to formulate and test evolutionary hypotheses about why selection has left the body vulnerable to physical and mental disorders.
Learn to critically review and analyze applications of evolutionary theory to problems in public health, psychology and medicine.
This course is cross-listed with Psychology 515 in the LS&A department.
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.
Description: This course will examine the major pathological processes of interest to practitioners of Public Health. Specifically, the physiological mechanisms of disease will be examined with a view to understanding the cellular, biochemical and molecular processes that underlie diseases of major public health impact.
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 PUBHLTH413 in the PUBHLTH413 department.
Description: Considers the uses of epidemiology with emphasis on the social determinants of chronic diseases and premature mortality. Theoretical as well as methodological issues in conducting social epidemiology research are emphasized. Designed for graduate students who have prior familiarity with the basic principles and methods of epidemiologic research.
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.
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.
EPID521 Introduction to Geographic Information Systems for Public Health Research
Description: This course is a practical guide for how to use GIS in your work as a public health professional and will provide an understanding for why incorporating geography into study design is critical to the translation of research findings into effective health policy.
Course Goals: Students learn to: •Articulate the relationship between various geographies, community stakeholders and their relevance to study design and translational research • Describe the basic structure of spatial data • Identify and use available sources of GIS data •Gain an introductory comprehension of GIS data management, mapping and analysis •Gain proficiency with using ESRI's ArcGIS • Effectively use GIS products to communicate with stakeholders and translate research findings into health policy recommendations.
Competencies: Foundational Competencies: Policy in Public Health (Propose strategies to identify stakeholders and build coalitions and partnerships for influencing public health outcomes); Evidence-based Approaches to Public Health (Analyze quantitative and Qualitative data using biostatistics, Informatics, Computer-based programming and software, as appropriate).
Learning Objectives: Foundational Learning Objective: Explain the critical importance of evidence in advancing public health knowledge.
Prerequisites: At least 1 prior microbiology course or permission of the instructor
Undergraduates are allowed to enroll in this course.
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.
Description: This course is an introduction to the production of scientific abstracts/posters/articles in Epidemiology. Students will read articles from epidemiology journals and write bi-weekly assignments related to their internships and masters paper topics. We will focus on the production of clear and concise prose that communicates complex ideas effectively to the reader.
Description: Molecular techniques used in bacteriology and molecular epidemiology. Techniques covered include PCR, gel electophoresis, recombinant DNA technology, microarrays, and bacterial typing procedures.
Description: This seminar explores the diverse health impacts of economic, environmental, and cultural globalization. The transnational movement of people, technologies, capital, commodities, toxins, pathogens, ideologies and treatments are affecting people's well-being through diverse pathways. Introductory lectures and discussion of readings will explore various topics related to these issues. We will study the forces of globalization, beneficial and harmful health impacts, role in economic development and resource distribution, and implications for public health practice.
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.
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.
Description: A period of elective (i.e., non-required) practical projects for international students in Epidemiology. Students work for at least eight weeks in an approved agency. Course requirements include this approved practical work experience related to the student's field of study plus prior and concurrent consultation with the student's faculty advisor. Restricted to Epidemiology majors with at least two full consecutive terms of enrollment.
Description: The rapid development in molecular techniques since the early 1980's has enhanced the ability of epidemiologists to define and measure both exposures and outcomes. In this course, we will explore the impact of these measures on the design, conduct and analysis of epidemiologic studies by examining successful and unsuccessful applications of these new measurement tools. We will also discuss the ethical issues arising from an enhanced ability to identify individuals with early stage of disease, increased susceptibility or to measure very low levels of exposure in the environment, and sensitize students to the potential conflicts in research ethics arising from collaborative research projects.
Prerequisites: BIOSTAT 503, 553 or another graduate course in basic statistics, which may be taken concurrently with EPID 600
Description: This course provides students with the foundations of epidemiologic theory and practice. The course will cover conceptual and practical issues around the design, conduct, and analysis of epidemiologic research and the interpretation of epidemiologic data. The course format includes lectures and discussions of written exercises.
Prerequisites: Previous or concurrent enrollment in Biostat 523 or equiv; Epid 600 or 503 is recommended but not required
Description: Epid 601 is a comprehensive course in the basic concepts, principles, and methods of population-based epidemiologic research, which serves as a foundation for subsequent courses in epidemiology, biomedical research, and quantitative methods. Class topics expand on those covered in Epid 600. Emphasis is given to study design, quantitative measures, statistical analysis, data quality, sources of bias, and causal inference. The general approach of this course is both theoretical and quantitative, focusing on the investigation of disease etiology and other causal relations in public health and medicine.
Prerequisites: Epid 600; 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.
Description: EPID 603 is a two-semester seminar course to be taken by OEE, GE, and GHE students in the fall and winter semesters in year one. Students are exposed to various topics such as self-assessment, professional communication, responsible research, and career planning.
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.
Undergraduates are allowed to enroll in this course.
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.
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/EPID 608 in the SPH Environmental Health Sciences department.
Description: Vaccines represent the most cost-effective medial intervention that has made a major effect on mortality reduction and population growth. This course will cover the epidemiological, statistical, biological, microbiologic, immunological principles, approaches and methods used in vaccine development and vaccination program design. Through a detailed discussion of the pathobiology, epidemiology, vaccine, and vaccination program design of a selected group of vaccine preventable diseases, the course will introduce the students to the major types of infectious diseases defined by the types of pathogens, the different transmission mechanisms of infectious diseases, the concept of population transmission dynamics, and the basic types of population effects of vaccination. Current issues and challenges in vaccine development and immunization practice will als be discussed.
EPID617 Social epidemiology II: Social and economic determinants of population health
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.
Description: Social epidemiology course with a focus on global population and health trends, health equity, and the social determinants of health in a global context.
Course Goals: The goal of the course is to provide students with an introduction to social determinants of health in the global context. We will focus on (1) global population trends, (2) drivers of changes in health in low- and middle-income countries, and (3) key social determinants that contribute to global health inequity.
Competencies: (1) Identify and describe population patterns of health-related risk factors and health-related outcomes in terms of person, place, and time.
(2) Be familiar with the current major public health issues and be able to identify and evaluate the determinants of these public health issues (e.g., demographic, pathophysiologic, genetic, environmental, infectious, behavioral, and social).
(3) Be exposed to published epidemiologic studies and be able to critically appraise epidemiologic findings.
Prerequisites: EPID 600, EPID 503, 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.
Prerequisites: EPID 600 or EPID503 AND BIOSTAT 501 or BIOSTAT 521
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.
Description: This course deals with selected applications of epidemiologic methods and findings to public-health and clinical practice. Class topics include utilization and quality of medical care, health needs assessment, health impact estimation, evaluation and economic analysis of interventions, systematic reviews and meta analysis, risk assessment and health policy. The major objective is to provide a framework for integrating causal inference and decision making, thereby bridging the gap between science and practice. Emphasis is given to conceptual and methodologic issues that confront researchers, health planners, policy analysts, and decision makers.
Course Goals: 1. To provide a framework for integrating causal inference with decision making, thereby bridging the gap between science and both public-health and clinical practice.
2. To become familiar with different approaches for applying epidemiologic principles and methods to health-services, evaluative, and policy research.
3. To understand the barriers and challenges for translating epidemiologic findings into public policy.
Competencies: Following the completion of this course, the student will be able to perform the following activities at a basic level: collect relevant information and data to estimate the potential impact of a planned intervention on one or more health outcomes; design a study to evaluate the health effect and cost-effectiveness of an intervention in a target population; critique publications dealing with health-services, outcomes, or clinical research, based on sound scientific principles, and conduct a systematic review; and conduct an analysis of a policy that depends in part on epidemiologic evidence.
Learning Objectives: Following the completion of this course, the student will be able to do the following at a professional level expected in the workplace: describe the connections between epidemiologic and health-services research; describe and compare alternative approaches for identifying predictors of healthcare utilization; describe alternative methods and limitations for measuring the quality of care and comparing quality across patient, provider, or institutional populations; describe approaches for measuring the need for health services in populations; describe the counterfactual (potential outcomes) method for estimating the expected impact of a planned population intervention; describe and compare experimental, quasi-experimental, and observational methods for evaluating the impact of interventions on population health; describe and compare benefit-cost analysis and cost-effectiveness analysis; describe the components and problems of risk assessment; describe nontechnical aspects of risk evaluation including risk acceptability and perception; and describe barriers and challenges of translating empirical findings into public policy.
EPID630 Topics in Environmental Determinants of Infectious Diseases
Description: This course will focus on environmental determinants of infectious disease, examining the literature that addresses different environmental perturbations ranging from land use and climate change to urbanization and social changes. Students will learn about the natural history of infectious diseases and the different analytic methods used to study such systems.
EPID633 Introduction to Mathematical Modeling in Epidemiology and Public Health
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.
EPID634 Foundations in infectious disease transmission modeling
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.
Prerequisites: BIOSTAT 560 or permission from the instructor
Description: This course will introduce 1) the concepts of multistage carcinogenesis and the analysis of cancer epidemiology using mathematical models of carcinogenesis; 2) the analysis of cancer prevention strategies using Markov cancer natural history models. Students will learn how to develop and fit multistage and cancer natural history models in R.
EPID637 Systems Modeling of Behavior, Social Processes and Chronic Disease
Description: This advanced course provides in-depth coverage of applications of mathematical modeling to behavior, social processes, and chronic disease. We will review applications of agent-based and network modeling in social and behavioral science, and natural history models of chronic diseases. Students will learn to develop models in R, NetLogo, and NetworkX.
Description: This course teaches the fundamentals of data management, processing, manipulation, and critical review of data in SAS for epidemiologic and statistical analysis.
Course Goals: As a hands-on class, this course aims to teach the basics of SAS in addition to sharpening student's intuition about how to use, manipulate, review, interpret, and judge others' claims about data.
Competencies: 3.H. Computer Packages in Data Analysis
1.Use of computer packages for data entry and data analysis, to include spreadsheets, SAS, SPSS, STATA, and Epi Info.
3.J. Data Management
1.Different types of data (qualitative and quantitative), the scale used to measure the data (nominal, ordinal, interval, and ratio scales), and how the scale used relates to data coding, data entry, and generating a codebook.
2.Standard practices for data coding, data entry, generating codebooks for an epidemiological dataset, data verification, cleaning, and editing.
Learning Objectives: By the end of this course, students should be able to read in raw data, merge files, recode existing variables, create new parameters, critically review data for errors, create graphics to understand data, construct datasets for statistical analysis, and interpret simple statistical output in SAS.
Description: Measurement of Health-Related Risk Factors and Outcomes
Course Goals: To provide an introduction of measurement theory and applications of a variety of health-related risk factors and outcomes in epidemiologic research, and basic principles in the design of measurement instruments;
to provide oral and written accounts of the results of the application and analysis of a specific measurement method;
Competencies: This course will allow students to attain the following Departmental MPH core competencies (List 1-10): 8.Be familiar with basic aspects of field methods in epidemiology (e.g. human subject protection, data collection and management, survey design, sampling strategies, calculating power, and public health surveillance). 9.Demonstrate effective communication of epidemiologic findings in written and oral formats.
Prerequisites: EPID 600 (or equivalent), EPID 640 (or equivalent), and BIOSTAT 503 or 553 (or equivalent)
Description: This course introduces 1) various sampling methods (simple random sampling, stratified sampling, cluster sampling, convenience sampling, control sampling strategies in case-control design) and 2) power and sample size calculations. This course consists of lectures and hands-on exercises in computer labs, homework assignments, and a final project.
Course Goals: The goal of this course is to learn about how to design surveys with appropriate sampling methods widely used in epidemiologic research and how to compute sample sizes and/or powers given different epidemiologic study designs.
Competencies: After completing this class, students are expected to be able to attain
the following competencies: Be familiar with basic aspects of field methods in epidemiology (e.g. human subject protection, data collection and management, survey design, sampling strategies, calculating power, and public health surveillance).
Specifically, students will be able to:
o Choose and design appropriate sampling methods for different epidemiologic study designs.
o Compute sample size and/or power for different epidemiologic study designs.
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.
Course Goals: The goal of this course is to learn about what datasets are publicly available as well as how to access them and conduct analyses using them.
Competencies: After completing this class, students are expected to be able to attain the following Epidemiology Department MPH competencies:
• Be familiar with basic aspects of field methods in epidemiology (e.g. human subject protection, data collection and management, survey design, sampling strategies, calculating power, and public health surveillance).
• Calculate and interpret measures of event frequency (e.g. prevalence, incidence) an measures of association (e.g. odds ratio, relative risk, attributable risk) and be able to articulate the uses and limitations of these measures.
• Understand and be able to apply analytical approaches to data from different epidemiologic study designs (e.g. cross-sectional, cohort, randomized studies).
• Demonstrate effective communication of epidemiologic findings in written and oral formats.
Description: Overview of contemporary methodologic topics in epidemiology
Course Goals: The goal of this course is to provide an introduction to contemporary methods in epidemiologic research. We will discuss conceptual and empirical work on directed acyclic graphs, mediation and effect modification, meta-analysis, systems-based approaches, gene-environment interactions, multi-level modeling, and inverse-probability weighting for selection bias.
Competencies: This course will address the following Department of Epidemiology MPH core competencies (List 1-10): 6. Be familiar with the the basic tools of causal inference in epidemiology (e.g. counterfactuals, directed acyclic graphs, fundamental of systems approaches). 7. Understand epidemiologic concepts of causal inference including bias, confounding and effect modification, and be able to apply study design and analytical approaches to minimize, assess or account for them in epidemiologic studies. 9. Demonstrate effective communication of epidemiologic findings in written and oral formats. 10. Be exposed to published epidemiologic studies and be able to critically appraise epidemiological findings.
EPID650 Principles and Practice of Preventive Medicine
Description: Introduction to the evolving role of public health and epidemiology in disaster preparedness and response. It uses epidemiological principles to develop skills relevant to disaster preparedness, planning and relief/recovery efforts. Students acquire skills to assess risk and evaluate impacts after disasters, and work on a local health department preparedness project.
EPID655 Epidemiologic Field Investigations in Infection Control
Prerequisites: EPID 600 or equivalent, Epid 640, Biostat 503 or 553,EPID 600 or Perm. Instr.,EPID 600 or equivalent, Epid 640, Biostat 503 or 553,EPID 600 or Perm. Instr.,EPID 600 or equivalent, Epid 640, Biostat 501 or 521, EPID 600 or Perm. Instr.
Description: Formulation of study goals, selection of epidemiologic parameters, sampling strategies, questionnaire design and administration, database construction, entry and validation, interpretation of univariate and bivariate results. Student groups design and execute a pilot field study.
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 Epidemiology for Developing Countries
Description: This course is for students and researchers interested in pursuing collaborative epidemiologic research in international settings. The course will focus on steps and procedures for setting up and conducting international epidemiologic studies. Topics will include relationship between research groups and host country policy makers and collaborators, cultural and logistical differences between research studies in the U.S. and international settings. Other topics will include developing and maintaining research infrastructure, research design, field operations, anticipated obstacles, monitoring, ethical and IRB requirement for international studies, funding, and plans for maintaining future collaborations. Occasional guest lecturers, actively involved in international epidemiologic research will be integrated into the syllabus.
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.
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.
EPID673 Epidemiology of Developmental Origins of Health and Disease
Prerequisites: EPID 503 or EPID 600 AND BIOSTAT 503 or BIOSTAT 553
Description: This course will introduce the R statistical programming language for epidemiologic data analysis. 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.
Course Goals: The overall goal of the course is to provide students with a set of new data analysis tools for Epidemiology using R.
Competencies: After completing this class, students are expected to be able to attain the following Epidemiology Department MPH competencies:
• Be familiar with basic aspects of field methods in epidemiology (e.g. human subject protection, data collection and management, survey design, sampling strategies, calculating power, and public health surveillance) [Epid competency 8].
Specifically, students will be able to
o Enter, manage, and manipulate data in R
o Conduct basic data analysis in R
o Graphically display quantitative data in R
EPID675 Data Analysis for Environmental Epidemiology
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.
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.
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.
Course Goals: The goal of this class is to learn the epidemiology for major psychiatric and substance use disorders over the life course, and to apply epidemiologic principles and methods to understand the predictors and consequences of psychiatric and substance use disorders.
Competencies: 1. Identify and describe population patterns of health-related risk factors and health-related outcomes in terms of person, place and time.
2. Be familiar with the current major public health issues and be able to identify and evaluate the determinants of these public health issues (e.g. demographic, pathophysiological, genetic, environmental, infectious, behavioral, and social).
3. Know the different epidemiologic study designs including the relative strengths and weaknesses of each, and be able to propose an appropriate design strategy when presented with a research question.
4. Demonstrate effective communication of epidemiologic findings in written and oral formats.
5. Be exposed to published epidemiologic studies and be able to critically appraise epidemiological findings.
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
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.
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.
Course Goals: Course Goals:
1. Expose students to knowledge necessary to work in healthcare infection prevention and control.
2. Allow students to develop marketable skills essential to infection preventionists.
Competencies: By the completion of the course the student will have:
1. Understanding of the modes of transmission, risk factors, and appropriate interventions for prevention of HAIs
2. Knowledge of principles of effective hand hygiene, isolation systems, barrier control programs
3. Knowledge of surveillance systems used in hospitals and ability to use surveillance definitions to identify HAIs
4. Ability to analyze surveillance data to develop infection rates, identify clusters and work through an outbreak investigation
5. Understanding of role of aseptic technique, cleaning, disinfection and sterilization and ability to assess the adequacy of these procedures
6. Knowledge of how HAIs may present differently in specialized patient populations.
EPID684 Theory and applications of spatial epidemiology
Description: This course provides a survey of spatial problems in epidemiology with a
specific focus on public health applications of spatial analysis.
Topics covered will include the different types of spatial data, causal inference with spatial data, and specific examples of applications of spatial analysis to epidemiological problems.
Course Goals: This course is meant to introduce graduate students to the logic of spatial
analysis in epidemiology and public health. By the end of the course, students
will understand when spatial analysis is necessary, and common issues of causal inference with spatial data (e.g. ecological fallacies). Students will become familiar with the different ways spatial analysis is employed in different sub-fields of epidemiology and public health, ranging from chronic and infectious disease to mental and cognitive health and in the assessment of environmental exposure.
Competencies: 1. Apply systems thinking to a public health issue.
2. Discuss the means by which structural bias, social inequities and racism undermine health and create challenges to achieving health equity at organizational, community and societal levels.
Learning Objectives: 1. Describe the circumstances when spatial analysis is necessary and useful for
different types of epidemiological problems and contexts.
2. Understand and describe key issues of causal inference in spatial analysis (e.g. ecological and atomistic fallacies).
3. Become familiar with statistical concepts underlying spatial epidemiological analysis.
Prerequisites: courses in basic statistics and standard regression
Description: This course provides an introduction to Bayesian methods in epidemiology. Topics include: contrasting the Bayesian and classical approaches to hypothesis testing and interval estimation; strengths and weaknesses of the two paradigms, and when they give similar and dissimilar answers; objective and subjective Bayes; calibrated Bayes, a conceptual approach that combines Bayesian and frequentist ideas; computational tools, including Markov Chain Monte Carlo. the Bayesian approach to some important problems in epidemiology: contingency tables, diagnostic testing, comparison of means, regression, hierarchical models, measurement error, and analysis of data from common study designs.
Course Goals: The Bayesian approach to some important problems in epidemiology: contingency tables, diagnostic testing, comparison of means, regression, hierarchical models, measurement error, and analysis of data from common study designs.
Prerequisites: Introductory courses in epidemiology and biostatistics
Description: This course will provide an introduction to test/scale development theories (Classical Test Theory vs Item Response Theory) and the properties of clinical outcome measurement tools (i.e. validity, reliability and responsiveness).
Course Goals: To provide a comprehensive overview to attendees on the development, implementation and assessment of measurement tools, in particular patient reported outcome measures, for us in clinical research or practice. ,.
Competencies: The students that have taken this class are expected to be able to:
C. 1. Describe health measurement test development theories
C. 2. Comprehend key psychometric components of measurement tools for clinical research
C. 3. Apply the basic terminology and definitions of measurement.
C. 4. Comprehend and critically review measurement characteristics: validity, reliability, responsiveness and interpretability.
EPID708 Machine Learning for Epidemiologic Analysis in the Era of Big Data
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.
Course Goals: • A basic understanding of causal inference, including structural causal models, definition of causal parameters via counterfactual distributions, and ways to establish identifiability from observed data.
• Familiarity and ability to implement machine learning, specifically the concepts of SuperLearning and the power of cross-validation in data-adaptive estimation.
• Ability to apply machine learning algorithms to prediction problems and estimate and derive inference for the resulting fit.
• Ability to use the fits of machine learning algorithms to estimate causal effects using simple substitution estimators.
• Ability to apply Targeted Learning approaches (e.g., targeted maximum likelihood estimation) to estimate, using machine learning, a priori specified treatment effects as well as general variable importance measures.
• A basic understanding of how to use parallel computing and large computer clusters to be able to estimate using computer intensive algorithms on large (Big Data) data sets.
• How the general methodology applies to goals of Precision Medicine.
Competencies: • Ability to apply estimation roadmap to novel data questions.
• Ability to implement estimation via R and existing software packages.
• Basic knowledge of how to use such algorithms on Big Data including the use of cloud computing.
Undergraduates are allowed to enroll in this course.
Description: This course will focus on diabetes epidemiology through lecture and discussions. Topics will include diagnosis and classification, risk factors and projections of disease burden, screening for diabetes, the evidence-base for diabetes prevention,and landmark observational studies and clinical trials evaluating the impact of treatment on complications.
Course Goals: The student will understand issues related to:
- diagnosis and classification
- risk factors and current and future disease burden
- screening for and prevention of type 2 diabetes
- microvascular and neuropathic complications of diabetes
- cardiovascular (CV) risk factors and CV disease in diabetes
- treatment of diabetes, its complications, and comorbidities
- translating interventions into community practice
- diabetes computer simulation modeling
Competencies: The student will learn:
- methodological issues related to diagnosing a chronic disease
- why, when, who, where, and how to screen for diabetes
- the advantages and disadvantages of primary, secondary, and tertiary interventions for diabetes
- the challenges of conducting randomized controlled clinical trials in diabetes
- the barriers to translating knowledge from clinical trials into community practice
- the rationale for and limitations to chronic disease computer simulation modeling
Learning Objectives: The student will learn methodological issues related to diagnosing a chronic disease. Why, when, who, where, and how to screen for diabetes, the advantages, and disadvantages of primary, secondary, and tertiary interventions for diabetes and the challenges of conducting randomized controlled clinical trials in diabetes.
EPID722 Medical Product Epidemiology and Global Regulation
Description: This course addresses the use and effects of medical
products -These products are regulated worldwide. These regulatory requirements have stimulated the need for data and varied studies on very large populations to establish the safety of the products and the concomitant conditions that help determine their safety and
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.
Description: This course will provide an introduction theories, concepts, methods, and findings in recent social epidemiologic research. We will develop a
basic understanding of how key social factors shape the distribution of health and disease in the general population, with a focus on race/ethnicity, social status, features of the neighborhood social
environment, and individual-level psychosocial characteristics.
EPID778 Spatial Statistics for Epidemiological Data
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
Course Goals: 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
Competencies: 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
EPID793 Complex Systems Modeling for Public Health Research
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.
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.
Course Goals: 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.
Competencies: 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.
Description: Considers race and ethnicity as determinants of chronic diseases and premature mortality. Theoretical as well as methodologic issues in conducting epidemiologic research on race and ethnicity are emphasized. Designed for doctoral students who have prior familiarity with the basic principles and methods of social epidemiologic research.
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.
Course Goals: 1) Practice critical thinking of epidemiologic concepts and methods in historical context
2) Understand the historical evolution of epidemiologic methods
Competencies: This course addresses PhD competencies #1,2,3, and 9, and Master competencies #4,5,7,9, and 10
EPID811 Critical Appraisal of Epidemiologic Studies
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.
EPID813 Advanced seminar on public health and aging
Prerequisites: Doctoral standing at UM with training in research methods and statistics in relevant disciplines.
Description: This course provides advanced training in aging research pertaining to the public health and well-being of older adults. It will cover a variety of substantive and methodological areas in aging-related epidemiologic research and geriatrics. Selection of specific topics will in part depend on the interests of participating students.
Description: This pilot course will focus on selected theoretical and methodologic issues related to the analysis of epidemiologic data with the purpose of drawing causal inference. The topics covered will include long-standing fundamental issues as well as new techniques or novel epidemiologic applications of methods used in other disciplines. The course will consist of 14 three hour sessions. Each session will include a brief didactic presentation of the key issues for the session by the instructor followed by a structured small group and class discussion of a selected reading or readings.
EPID815 Modern Statistical Methods in Epidemiologic Studies
Prerequisites: EPID 600, BIOSTAT 523 and BIOSTAT 560 for epid students. Biostat 650, 651 for biostat students
Description: The goal of this pilot course is to create an interdisciplinary educational experience for Ph.D. students in Epidemiology (also available as an optional elective for Masters students in Biostatistics) through a uniquely designed course that contains lectures on advanced biostatistical methods, but places them in the context of epidemiological applications.
Course Goals: Students enrolled in the class will learn about cutting edge statistical methods in these four contemporary topics that arise frequently in the present scientific context. These four topics are: (a) Modern techniques for model building and variable selection; (b) Methods for analyzing longitudinal data; (c) Spatial regression methods; (d) Methods for studies of interaction/effect modification. The course will equip the new generation epidemiologists with state-of-the-art statistical methods in these domains, and teach them the craft of translating a practical problem into mathematical equations. However, the entire theoretical learning process will be placed in the context of sophisticated modeling of data from large complex studies with a focused problem to solve. Data for the projects will come from two studies that Professors Park and Mendes de Leon are involved with: the Normative Aging Study (NAS) and the Chicago Health and Aging Project (CHAP).
Competencies: After completing this class, students are expected to be able to attain the following competencies:
•Describe preferred methodological alternatives to commonly used statistical methods when assumptions are not met.
•Distinguish among the different measurement scales and the implications for selection of statistical methods to be used based on these distinctions.
•Apply descriptive techniques commonly used to summarize public health data.
•Apply common statistical methods for inference.
•Apply descriptive and inferential methodologies according to the type of study design for answering a particular research question.
•Interpret results of statistical analyses found in public health studies.
•Develop knowledge to communicate and collaborate effectively with scientists in a variety of health-related disciplines to which biostatistics are applied (e.g. public health, medicine, genetics, biology; psychology; economics; management and policy).
•Become well-versed in the application of core statistical techniques (biostatistical inference, linear regression, generalized linear models, nonparametric statistical methods, linear mixed models) and 4-5 selected statistical specialization techniques.
•Select appropriate techniques and apply them to the processing of data from health studies.
•Interpret the results of statistical analysis and convert them into a language understandable to the broad statistical community.
•Develop written and oral presentation skills and other scientific reporting skills, based on statistical analyses for public health, medical and basic scientists and educated lay audiences
•Employ state-of-the-art statistical and other quantitative methods in the analysis of epidemiologic data.
•Demonstrate a thorough understanding of causal inference, sources of bias, and methods to improve the validity of epidemiologic studies.
•Understand the principles and methods of data-collection and data-processing procedures in the design and conduct of epidemiologic research, with sound knowledge of measurement validity and reliability, data quality control, data management, documentation, and security
Prerequisites: EPID 605, 609 617 or any other infectious disease course.
Description: Tuberculosis remains one of the deadliest diseases in the world. Social and operational factors, the growing AIDS epidemic, and increasing drug resistance have dramatically compounded the tuberculosis crisis. This course will review the history, epidemiology, biology, pathogenesis, and clinical management of tuberculosis. It will examine the current issues related to tuberculosis and discuss the complex mechanisms that contribute to the almost unparalleled impact of tuberculosis on global health in the past and present time, including the impact of the emergence of AIDS epidemics.
Each session will include a one-hour didactic presentation of the specific topic for the session by the instructor followed by a structured class discussion of reading(s) relevant to the session-specific topics that address emerging methods. In the last session, the students will be asked to present their research proposals on an infectious disease of their primary interests using the concepts and methods learned in this class. While the focus of the lectures will be centered on tuberculosis, the discussions will address the application of general concepts in infectious disease.
EPID822 Malaria and other important vector-borne diseases
Prerequisites: Epid 602, Epid 605 or equivalent; EHS 513 or equivalent
Description: Infectious agents transmitted by arthropod vectors produce an enormous disease burden worldwide, especially in underdeveloped countries. Malaria alone kills more than one million people each year, mostly children, and results in 42 million DALYs lost. This course is designed to investigate the epidemiology of malaria and other important vector-borne diseases that principally affect poor people living in tropical countries. The complex interactions influencing transmission dynamics, including immunologic, ecologic, economic and social factors are explored. Options for treatment, prevention and control involving vectors, parasites and human behavior are examined. Analysis also considers the role of other infections, including HIV, as altering transmission and disease. Class sessions will include a brief didactic presentation of the key issues for that topic followed by a structured discussion of selected readings.
Prerequisites: EPID 601, BIOSTAT 523, BIOSTAT 560 or permission from instructor
Description: This course is for doctoral students with an interest in cardiovascular disease epidemiology (with a focus on stroke) and the epidemiologic methods used in this research area. Students will be exposed to major topics and issues in cardiovascular research and will gain experience with critical evaluation of the epidemiologic literature.
Course Goals: The goal of this course is to provide interested doctoral students with an opportunity to learn about cardiovascular epidemiology while providing them with an opportunity to apply their methodological training to critical evaluation of research in this area. Students taking this class are expected to learn about: 1) Pathophysiology of major forms of cardiovascular disease. 2) Methods for quantifying cardiovascular disease burden overall and in special populations. 3) Health disparities in cardiovascular disease and approaches to understanding their causes. 4) Risk factors for cardiovascular disease. 5) Translation of epidemiologic research in cardiovascular disease into clinical trials. 6) Clinical trials and evidence-based medicine. 7) Epidemiologic methods used in cardiovascular research.
Competencies: Critically evaluate and synthesize the scientific literature and develop new hypotheses to address gaps in our knowledge; Have a mastery of epidemiology study designs and be able to select a design that is appropriate to address a specific study question; Have a thorough understanding of causal inference, sources of bias, and methods to improve the validity of epidemiologic studies; Employ state-of-the-art statistical and other quantitative methods in the analysis of epidemiologic data; Demonstrate mastery in a substantive area of population health, and in this area integrate relevant biological, behavioral, and social mechanisms that operate at multiple levels of causation; Demonstrate excellent skills in the writing of scientific papers and grant applications; Provide clear and effective oral communications of epidemiologic concepts, methods, results, and implications to scientists, students, policy makers, and the public.
Description: Advanced epidemiologic methods, with an emphasis on causality in epidemiologic research, theoretical considerations and interpretations of findings.
Course Goals: By the end of the course, the student will be able to:
• Identify models, tools and strategies to strengthen causal inference in epidemiologic studies
• Develop appropriate study designs in light of a specific research question, resources, population, time, and other characteristics
• Analyze and evaluate observational epidemiologic studies with differing designs
• Recognize and remediate issues of biases and validity in epidemiologic studies
• Appreciate broader statistical concerns and alternative methods for epidemiologic research
Competencies: -Critically evaluate and synthesize the scientific literature and develop new hypotheses to address gaps in our knowledge
-Have a mastery of epidemiology study designs and be able to select a design that is appropriate to address a specific study question
-Have a thorough understanding of causal inference, sources of bias, and methods to improve the validity of epidemiologic studies
-Design a research project that addresses an important population health or clinical question, using appropriate epidemiologic methods under constraints confronted in practice
-Employ state-of-the-art statistical and other quantitative methods in the analysis of epidemiologic data
-Provide clear and effective oral communications of epidemiologic concepts, methods, results, and implications to scientists, students, policy makers, and the public
EPID889 Responsible Conduct of Research and Scholarship Seminar
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]."
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.
Description: Students will review assigned readings on the epidemiology or natural history of specific infections or chronic diseases or on host or environmental factors associated with disease, or on epidemiological methods and their application. May be elected more than once
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.
Course Goals: Course Goal: To provide an action-based experience for public health graduate students to address 'real time' public health issues in vulnerable communities.
1.Provide students with the opportunity to develop and apply theoretical and practical skills to current public health issues impacting the well being of communities.
2.Actively engage and immerse students as partners in surfacing information, data and solutions in response to the today's public health challenges.
3.Strengthen student understanding of how public health science and practice can be used to meaningfully address complex population health issues in communities.
4.Develop skills in working with and in diverse communities.
Competencies: SPH Cross-Cutting Competencies:
-Describe the role of structural inequality in producing health disparities
-Demonstrate effective written and oral skills for communicating with different audiences in the context of professional public health activities.
-Demonstrate team building, negotiation and conflict management skills.
-Appreciate the importance of working collaboratively with diverse communities and constituencies (e.g. researchers, practitioners, agencies and organizations).
Core Competencies, Academic Public Health Linkages:
1A1. Identifies the health status of
populations and their related determinants of
health and illness (e.g., factors contributing to health promotion and disease prevention, the quality, availability and use of health services).
1A2. Describes the characteristics of a population-based health problem (e.g., equity, social determinants, environment)
4A2. Recognizes the role of cultural, social, and behavioral factors in the accessibility, availability, acceptability and delivery of public health services
4A2. Recognizes the role of cultural, social, and behavioral factors in the accessibility, availability, acceptability and delivery of public health services
3A2. Communicates in writing and orally, in person,
and through electronic means, with linguistic and cultural proficiency
3A3. Solicits community-based input from individuals and organizations
2A4. Gathers information that will inform policy decisions (e.g., health, fiscal, administrative, legal, ethical, social, political)
3A2. Communicates in writing and orally, in person, and through electronic means, with linguistic and cultural proficiency
3A2. Communicates in writing and orally, in person, and through electronic means, with linguistic and cultural proficiency
5A1. Recognizes community linkages and relationships among multiple factors (or determinants) affecting health (e.g., The Socio-Ecological Model)
8A1. Incorporates ethical standards of practice as the basis of all interactions with organizations, communities, and individuals