Epidemiology for Public Health Specialization

Every year, thousands of new epidemiological studies are undertaken, and the findings of these research can have a significant influence on how we live. Based on the results of these research, decisions are made about what you eat, how much you exercise, where you live, and the medical care you will receive if you become ill. With the help of Epidemiology for Public Health specialization, you will be able to properly understand epidemiological research, take into account its limits, and create your own investigations.

Measuring Disease in Epidemiology, the first course in the specialization, examines the primary measurements used in epidemiology and how these can influence decisions about public health policy, screening, and prevention. Study Designs in Epidemiology, the second course, gives an overview of the most popular study designs, their advantages and disadvantages. The third course, Validity and Bias in Epidemiology, extends the foundational ideas covered in the earlier courses by talking about bias and confounding and how these could influence study outcomes. Additionally, it gives the necessary abilities to guard against and manage confusion and bias as well as think critically about causation.

You will be prepared to conduct and evaluate epidemiological research once you have completed this specialization, and you will be eligible to enroll in more difficult epidemiology courses. Although Epidemiology for Public Health specialization is a component of the GMPH curriculum, it can be pursued separately.

You will apply the knowledge you have gained to compute the proper measures of frequency and association in a range of research types through the assignments for this specialization. Additionally, you'll practice spotting bias and confounding in epidemiological studies and applying the appropriate controls. You'll be able to determine which study findings to believe and accurately understand how they apply in real life by doing that.

What you will learn

• In order to describe disease frequency, association, and attributable risk for specified situations, calculate and interpret the necessary measurements.
• To interpret these numbers in the context of screening, compute the sensitivity, specificity, positive, and negative predictive values.
• To outline the advantages and disadvantages of various epidemiological study designs, compare and contrast them.
• Recognize the various biases that might affect epidemiological studies so that you can employ techniques to lessen them.

Skill you will gain

• Association
• Screening
• Causal Inference
• Clinical Study Design
• Bias
• Incidence
• Epidemiology
• Prevalence
• Randomized Controlled Trial
• Case-Control Study
• Study designs
• Cohort

Instructor: Filippos Filippidis

Offered by: Imperial College London

Coursera rating: 4.8/5.0, 839 ratings

Enroll here: https://www.coursera.org/specializations/public-health-epidemiology