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Public Health: Epidemiology I

PH 302 OL1 (CRN: 60330)

3 Credit Hours

About PH 302 OL1

Epidemiology is the study of disease distribution and determinants in populations; we will define populations and estimate the distribution of health-related conditions and their determinants. Pre/co-requisites: Bachelor's degree and college-level mathematics course.

Instructor

Related Programs

Certificate of Graduate Study in Epidemiology, Certificate of Graduate Study in Healthcare Management and Policy, Certificate of Graduate Study in Public Health and Master of Public Health (MPH) Online

Notes

Dates: May 20 - June 14, 2019; Open to graduate-level Public Health students; All other students require instructor permission; Must submit the request at http://go.uvm.edu/ph Students will be notified if permission is granted; contact student Advisor, Vika Pleshakova at vpleshak@uvm.edu for any questions.

More Information

Section Description

Epidemiology is the study of the cause and spread of disease among a given population. We rarely observe a health risk factor that is both necessary and sufficient to cause a particular disease outcome. Rather, the determinants of disease are often multi-faceted, with many factors remaining unidentified. Epidemiologic methods provide a framework to organize the complex relationships between health risk factors and disease outcomes. This framework allows us to estimate how risk factors affect the overall health of a population and to identify individuals and groups that may be particularly susceptible to disease. Course Learning Objectives • Understand the ideas associated with epidemiologic thinking and causation • Define and describe populations in terms of person, place, and time • Identify disease transmission models and calculate disease frequency • Describe the major types of epidemiologic study design • Assess the strengths and weaknesses of different types of study design • Explain the criteria for assessing causal inference • Calculate measures of risk and apply them to associations between exposure and disease • Calculate the reliability and validity of screening tests • Explain confounding factors, sources of bias, and random error that can inhibit our ability to see an association between exposure and disease

Section Expectation

An undergraduate-level MATH course is a prerequisite for this course.

Evaluation

The course is evaluated on a combination of Problem Sets, Quizzes, Discussions, and a Final Paper.

Meetings

to

Location

Online Course (View Campus Map)

Important Dates

Note: These dates may change before registration begins.

Deadlines
Last Day to Add
Last Day to Drop
Last Day to Withdraw with 50% Refund
Last Day to Withdraw with 25% Refund
Last Day to Withdraw

Resources

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