182.617.01
Exposure Assessment Techniques for Epidemiology
Course Status
Cancelled
Course Status
Cancelled
Location
East Baltimore
Term
4th Term
Department
Environmental Health and Engineering
Credit(s)
3
Academic Year
2017 - 2018
Instruction Method
TBD
Tu, Th, 3:30 - 4:50pm
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Resources
Prerequisite
180.609 Principles of Environmental Health or 180.601 Environmental Health or an equivalent introductory course in environmental health
182.613. Exposure Assessment Techniques for Health Risk Management
Prepares students to use techniques of exposure assessment in aid of epidemiological studies. Introduces students to core concepts including exposure variability and its implications for reconstructing historical exposures; sparse data and measurement errors; the exposure data matrix; methods for imputation of missing values; the relationship between exposure and tissue concentrations; the choice of exposure metric; and exposure-response relationships. Examines advanced techniques for imputing missing data while reconstructing exposures. Demonstrates the application of mathematical models of exposure using exposure determinant information and Bayesian methods. Considers exposure windows and exposure lagging. Focuses on using biologic models of how disease develops in response to exposure. Students will critically evaluate exposure assessment strategies in selected epidemiological studies from the peer-reviewed literature.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Explain the nature of exposure problems in reconstructing historical exposures in occupational and non-occupational settings
- Recognize the implications of sparse data and the choice of the exposure metric on the resulting exposure-response relationship
- Design studies to estimate exposure for prospective and retrospective epidemiological studies and interpret data obtained from such studies
- Use statistical techniques, physical mathematical models, and Bayesian methods for quantifying exposures
- Articulate the relationship between exposures and tissue concentrations using pharmacokinetic models
- Critically evaluate exposure assessment strategies in epidemiological studies