Epidemiology

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About Course

Epidemiology is a unique science – it offers powerful tools to quantify the degree to which risk factors and humanitarian interventions affect population health in a crisis. Indeed, epidemiology saves lives and improves global, long-term health.

But this has not always been a popular field. However, it is getting more attention now because of the current health crisis that is going on. In this course, I’ll be introducing you to some basic concepts and principles that make epidemiology such a versatile and flexible field, especially in the health sciences.

Upon enrollment in the course, all materials such as lecture videos, practice quizzes will always be available should you wish to go back to the material to study and review. You will also receive a Certificate of Completion, which you can use to boost your resume, curriculum vitae.

Start learning and increasing your knowledge today!

Who this course is for:

  1. Laboratory Scientists
  2. Medical Students
  3. Health Professionals
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What Will You Learn?

  • Principles of Epidemiology
  • Epidemiologic Triad
  • Risk Factors for Disease
  • Contributions of Epidemiologists
  • Ecological Issues in Epidemiology

Course Content

Epidemiology

  • Introduction and History of Epidemiology
    00:00
  • Pioneers of Epidemiology History
    00:00
  • Definition of Epidemiology
    00:00
  • Person, Place, Time and Population Perspective
    00:00
  • Examples of Research Areas Using Epidemiology
    00:00
  • Introduction to Measures of Disease Frequency
    00:00
  • Prevalent vs Incident Cases
    00:00
  • Prevalence
    00:00
  • Risks
    00:00
  • Rates
    00:00
  • Odds
    00:00
  • Experimental Study Design
    00:00
  • Experimental Study Design II
    00:00
  • Experimental Study Design III
    00:00
  • Cohort Study Design
    00:00
  • Case Control Study Design
    00:00
  • Cross Sectional Studies
    00:00
  • Ecologic Studies
    00:00
  • Measures of Association
    00:00
  • Odds Ratio
    00:00
  • Interpreting Measures of Association
    00:00
  • Confidence Intervals
    00:00
  • Confidence Interval Example
    00:00
  • Introduction to Causality
    00:00
  • Bradford Hill Criteria
    00:00
  • Conclusion
    00:00

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