Measuring Disease in Epidemiology

This course is part of Epidemiology for Public Health Specialization

Instructor: Filippos Filippidis

What you'll learn

  •   Calculate and interpret appropriate measures in order to describe disease frequency, association and attributable risk for given scenarios.
  •   Calculate sensitivity, specificity, positive and negative predictive values, in order to interpret these values in the context of screening.
  • Skills you'll gain

  •   Biostatistics
  •   Statistical Methods
  •   Preventative Care
  •   Epidemiology
  •   General Medical Tests and Procedures
  •   Science and Research
  •   Probability & Statistics
  •   Public Health
  •   Program Evaluation
  •   Research
  •   Quantitative Research
  •   Risk Analysis
  •   Health Policy
  • There are 4 modules in this course

    Epidemiological research is ubiquitous. Even if you don’t realise it, you come across epidemiological studies and the impact of their findings every single day. You have probably heard that obesity is increasing in high income countries or that malaria is killing millions of people in low income countries. It is common knowledge that smoking causes cancer and that physical activity is protective against heart disease. These facts may seem obvious today, but it took decades of epidemiological research to produce the necessary evidence. In this course, you will learn the fundamental tools of epidemiology which are essential to conduct such studies, starting with the measures used to describe the frequency of a disease or health-related condition. You will also learn how to quantify the strength of an association and discuss the distinction between association and causation. In the second half of the course, you will use this knowledge to describe different strategies for prevention, identify strengths and weaknesses of diagnostic tests and consider when a screening programme is appropriate.

    Measures of association

    Attributable risk and strategies for prevention

    Disease detection and screening

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