Section outline

  • Instructors

    Joseph Ntaganira, MD, DTM, MPH, PhD

    Full Professor

    B.P. 7616 KIGALI

    Email: jntaganira@ur.ac.rw or jntaganira@nursph.org

    Tel: 078 886 4720

    Contact Hours: 15

    Purpose

    The purpose of this course is to introduce MPH/MSc candidates to basic epidemiology principles, concepts, and methods. The course combines theoretical knowledge with practical applications, permitting students to demonstrate their competencies through both individual work and group interactions. Competencies are evaluated on students’ ability to define and identify determinants of disease, threats to internal validity and external validity, describe and use epidemiologic analytical study designs.

    Objectives

    1. Students should be able to define the different theories of causality.
    2. Students should be able to contrast the difference between cause and association
    3. Students should be able to define and identify the major sources of errors, bias, and confounders in epidemiological research.
    4. Students should be able to compare and contrast the key study designs used in epidemiological research.
    1. Describe and use analytical studies: case-control, cohort, experimental study designs, randomized, controlled trials (clinical and community trials)
    1. Students should be able to identify an epidemiological research problem and elaborate the research question appropriate to addressing that problem.

     

    Expected learning outcomes

    By the end of the course unit, the learner should be able to:

    a)       Define and use measures of association

    b)       Discuss the theories of causality of Koch, Bradford Hill and Rothman

    c)       Define types of bias and identify their impact

    d)       Describe methods of reducing bias

    e)       Describe the properties of a confounding factor

    f)         Describe methods to identify a confounder

    g)       Describe and use epidemiological studies (Analytical studies).

     

    • What is your name and profession?

      What is your professional experience in the health field?

      Have you ever participated in a research?

      Can you remind me the definition of Epidemiology?

      Do you see any usage of your Epidemiology I course during the Covid-19 pandemic? 

      Submit your answers during this first week.

  • Learning outcome At the end of this topic you will be able :

    • Be able to construct a 2x2 table for summarizing epidemiologic data.
    • Be able to explain how to compare the incidence of disease in two or more groups.
    • Be able to define, calculate, and interpret:
      • relative risk
      • attributable risk (risk difference)
      • attributable risk percent (the attributable proportion)
      • odds ratio
    • Be able to demonstrate the uses of these measures of association.
    • Be able to explain what is meant by a "reference group"

    READINGS

    Hennekens: p30-p53 & p73-p100

    Gordis: p227-p246

    LEARNING TASK:

    Do the assignment on Measures of Association

    Answer all the questions at the end of the chapter on measures of association, Gordis

    • Contrast the difference between cause and association
    • Discuss the theories of causality of Koch, Bradford Hill and Rothman
    • Identify the different levels at which causes may be found, i.e. biological, behavioral, social, environmental, structural
  • At the end of this topic you will be able to:

    • Describe the properties of a confounding factor
    • Methods to identify a confounding factor
    • List three ways to control for confounding
    • Understand an effect modifier
    • Difference between a confounding factor and an effect modifier
  • When you have completed this session you will be able to:

    • Interpret descriptive data and develop hypotheses
    • Determine when to proceed with an analytic study to further test the hypothesis
    • Describe the characteristics and design of a case control study
    • Describe the characteristics and design of a cohort study
  • Presentation

  • Exam
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