Introduction to Epidemiology
This course designed to teach the underlying theory of epidemiologic study designs and analysis and prepare students for conduct of epidemiology research. Students will learn about the design of investigations seeking to understand the cause of human disease, disease progression, treatment and screening methods include clinical trials, cohort studies, case-cohort, case-case, nested case-control and case-control designs. Concepts of incidence rates, attributable rate and relative rate, induction and latent periods of disease occurrence, confounding, effect modification, misclassification, and causal inference will be covered in depth.
This course requires many practice activities so students can recall and master the many basic ratio calculations involved in epidemiology.
- Describe population features and factors influencing population membership.
- Calculate and interpret measures of disease frequency and excess risk.
- Evaluate key characteristics and utility of various epidemiological study designs.
- Describe person, time and place characteristics that often affect epidemiological associations.
- Identify evidence that supports causality in exposure-outcome associations.
- Distinguish types, sources, and consequences of measurement error.
- Explain sources, evidence, and consequences of confounding and basic methods to control for it.
- Describe effect modification in associations, and basic methods to test for it.
- Apply applications of epidemiology for improving public health.Clearly and succinctly describeing and interpreting epidemiological studies.
Problem solving, calculations, discussion