In this course we will examine values, contexts, principles, and frameworks of public health. We will provide an introduction to public health, consider the history of public health, social/political determinants, impact of health disparities on race, class and gender, moral and legal foundations, public health structures, historical trauma and cultural competence, health and human rights, advocacy and health equity, communication and financing, and the future of public health in the 21st century. Grounded in theory and concepts, we will incorporate core competencies and skills for public health professionals and will focus on developing problem solving and decision-making skills through critical analysis, reflection, case studies, readings, and paper assignments.

Introduction to ethical issues in public health research/policy. Ethical analysis. Recognizing/analyzing moral issues.

Pathogenesis of diseases caused by occupational hazards. Evaluating work-related illnesses. Overall regulatory framework governing occupational health/safety. prereq: Environmental health major; toxicology course recommended or instr consent

Guided evaluation of potential health/safety problems at work site, recommendations and design criteria for correction/evaluation of occupational health/safety programs.

This is the first of two courses that covers fundamental principles of exposure, uptake and metabolism. This course focuses on identifying the mechanisms and effects of chemical, biological, and physical agents on human health. Discussions will focus on the action of environmental agents and how they interact with humans to cause disease. Emphasis is on understanding the principles of toxicology as they apply to understanding toxicant-human interactions.

Concepts/issues in occupational health/safety. Application of public health principles/decision-making process in preventing injury/disease, promoting health of adults, protecting worker populations from environmental hazards. Observational visit to manufacturing facility. prereq: Environmental health major or instr consent

Recognition, evaluation, and control of occupational health/safety hazards. Practice application to specific industrial hygiene problems related to gases/vapors, aerosols, and physical agents.

Nature, health effects, monitoring, and control of physical agents in working/living environments. Ionizing/non-ionizing radiations (including lasers, ultraviolet, visible, and infrared light). Noise/vibration, heat/cold stress. Dose, response, and engineering interventions.

Hierarchy of options for controlling human exposures to airborne contaminants, both gaseous/aerosol. Science/practice of process control/exhaust ventilation in workplaces/other indoor air spaces/air cleaning. Control of emissions to ambient environment.

Measuring exposures to potentially hazardous agents in air or water. Sampling the agent. Preparing sample for analysis. Conducting analysis. Interpreting results. prereq: EH or instr consent

Gaseous/particulate air contaminants, their occurrence in workplaces. Factors governing generation/dispersal. Criteria, rationales, and standards for measurement in workplace. Industrial hygiene measurement. Aerosol-related ill-health. prereq: Good grasp of [elementary physics, chemistry, mathematics including calculus]

Designing exposure studies for epidemiologic investigations and health risk assessments. Techniques to measure/estimate human exposures to hazardous agents in non-occupational and occupational environments. prereq: 6192 or instr consent

This course examines how to incorporate and handle spatial data to address public health questions, such as evaluating environmental exposures or identifying vulnerable and at-risk populations. We will utilize a Geographic Information System (GIS) to incorporate and visualize data for public health research. Classwork will be presented in the form of health-related case studies where GIS helps to formulate and address scientific hypotheses based on research topics in the School of Public Health. Specifically, the ArcGIS software will be used as a tool to integrate, manipulate, and display spatial health data. Topics include understanding spatial data, mapping, topology, spatial manipulations related to data structures, online data, geocoding, remote sensing imagery, and reviewing public health literature. The course will emphasize how to prepare spatial data for a formal statistical analysis. All coursework will be discussed in the context of statistical frameworks for evaluating geostatistical, point pattern, and area-level (or lattice) data examples. The intended audience for this course are masters and doctoral students who seek a more advanced understanding of GIS and spatial data beyond exploratory skills. Their goal should be a working knowledge of spatial analysis that can be readily applied in future research or employment. Students should leave this course prepared to take more advanced spatial analysis courses, map geographic trends, formulate scientific hypothesis for epidemiological applications, with the knowledge to acquire online spatial data, and the skills to critically evaluate published papers that utilize GIS.

In-depth introduction to laws (and associated regulations) of U.S. federal regulatory agencies, such as CPSC, EPA, FDA, OSHA, and DOT, that require/use toxicological data/information in their mission of protecting human/environmental health. prereq: Background in toxicology or pharmacology or related field is recommended

Introduce current status of molecular biomarker research, including biomarkers of chemical exposures, genetic toxicity markers, genomics-based biomarkers of susceptibility, organ/systems biomarkers. Progression of biomarker development/application from laboratory environment to clinical or population-based settings/development of public health policies/interventions. prereq: Introductory courses in toxicology and exposure analysis recommended

As defined by ASTM, nanotechnology is the emerging field of "technologies that measure, manipulate, or incorporate materials and/or features with at least one dimension between approximately 1 and 100 nm". Toxicology studies have indicated that exposures to nanomaterials present unique health risks not encountered with their parent materials. After completing this course, students will understand how the fundamental concepts and methods of occupational hygiene are applied specifically to nanomaterials. Students will learn to use aerosol science, toxicology, product lifecycle assessment, exposure assessment, and occupational hygiene data interpretation methods comprehensively to evaluate workers' disease risks from nanomaterial exposures and to guide intervention efforts. Emphasis will be placed on control measures appropriate for nanomaterials, and control banding approaches when data are lacking. Participants will study the handling of waste products and potential impacts of released nanoparticles on the public and the ambient environment. The course is aimed at graduate and upper-level undergraduate students in the health and basic sciences, engineering, public health, and industrial hygiene.

This course will cover the fundamental concepts of exploratory data analysis and statistical inference for univariate and bivariate data, including: ? study design and sampling methods, ? descriptive and graphical summaries, ? random variables and their distributions, ? interval estimation, ? hypothesis testing, ? relevant nonparametric methods, ? simple regression/correlation, and ? introduction to multiple regression. There will be a focus on analyzing data using statistical programming software and on communicating the results in short reports. Health science examples from the research literature will be used throughout the course. prereq: [College-level algebra, health sciences grad student] or instr consent

This course will cover more advanced aspects of statistical analysis methods with a focus on statistical modeling, including: ? two-way ANOVA, ? multiple linear regression, ? logistic regression, ? Poisson regression, ? log binomial and ordinal regression, ? survival analysis methods, including Kaplan-Meier analysis and proportional hazards (Cox) regression, ? power and sample size, and ? survey sampling and analysis. There will be a focus on analyzing data using statistical programming software and on communicating the results in short reports. Health science examples from the research literature will be used throughout the course. prereq: [PubH 6450 with grade of at least B, health sciences grad student] or instr consent

Correlated data arise in many situations, particularly when observations are made over time and space or on individuals who share certain underlying characteristics. This course covers techniques for exploring and describing correlated data, along with statistical methods for estimating population parameters (mostly means) from these data. The focus will be primarily on generalized linear models (both with and without random effects) for normally and non-normally distributed data. Wherever possible, techniques will be illustrated using real-world examples. Computing will be done using R and SAS. prereq: Regression at the level of PubH 6451 or PubH 7405 or Stat 5302. Familiarity with basic matrix notation and operations (multiplication, inverse, transpose). Working knowledge of SAS or R (PubH 6420).

Introduction to Bayesian methods. Comparison with traditional frequentist methods. Emphasizes data analysis via modern computing methods: Gibbs sampler, WinBUGS software package. prereq: [[7401 or STAT 5101 or equiv], [public health MPH or biostatistics or statistics] grad student] or instr consent

Facilitates student research training in occupational health and Safety. Roundtable discussions, interdisciplinary involvement.

Kinetic theory, definition, theory and measurement of particle properties, elementary particle mechanics, particle statistics; Brownian motion and diffusion, coagulation, evaporation and condensation, sampling and transport. prereq: CSE upper div or grad student

(No description) prereq: Max 18 cr per semester or summer; 24 cr required; For Environmental Health Students ONLY: Contact Director of Graduate Studies and the Graduate Student Coordinator.