About this Course

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Beginner Level

A background in health sciences or/and quantitative methods would be useful, but not essential.

Approx. 10 hours to complete
English
Subtitles: English

What you will 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 will gain

incidenceEpidemiologyPrevalenceassociation
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level

A background in health sciences or/and quantitative methods would be useful, but not essential.

Approx. 10 hours to complete
English
Subtitles: English

Offered by

Imperial College London logo

Imperial College London

Start working towards your Master's degree

This course is part of the 100% online Global Master of Public Health from Imperial College London. If you are admitted to the full program, your courses count towards your degree learning.

Syllabus - What you will learn from this course

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Week
1

Week 1

2 hours to complete

Measures of disease frequency

2 hours to complete
5 videos (Total 18 min), 7 readings, 1 quiz
5 videos
Odds3m
Prevalence3m
Cumulative Incidence5m
Incidence rate5m
7 readings
About Imperial College & the team5m
How to be successful in this course5m
Grading policy5m
Glossary & Additional readings 20m
Recap: Measures of Frequency10m
Quiz Instructions2m
Relationship between Measures of Frequency10m
1 practice exercise
Measures of Frequency30m
Week
2

Week 2

2 hours to complete

Measures of association

2 hours to complete
5 videos (Total 19 min), 4 readings, 2 quizzes
5 videos
Relative Measures of Association5m
Absolute Measures of Association3m
Relative and Absolute Measures of Association4m
Ratios Versus Differences2m
4 readings
The 2x2 Table10m
Recap: Measures of Association10m
Quiz Instructions2m
Quiz Instructions2m
2 practice exercises
Measures of Association: Part 130m
Measures of Association: Part 230m
Week
3

Week 3

2 hours to complete

Attributable risk and strategies for prevention

2 hours to complete
3 videos (Total 14 min), 4 readings, 1 quiz
3 videos
Population Attributable Risk3m
The Prevention Paradox4m
4 readings
Recap: Attributable Risk10m
Quiz Instructions10m
Overview of Measures in Epidemiology10m
Strategies of Prevention30m
1 practice exercise
Attributable Risk30m
Week
4

Week 4

3 hours to complete

Disease detection and screening

3 hours to complete
6 videos (Total 22 min), 6 readings, 3 quizzes
6 videos
Predictive Values3m
Calculation of Diagnostic Test Metrics4m
Screening3m
Evaluating Screening5m
Course Summary1m
6 readings
Disease Detection and Diagnostic Tests5m
Recap: Diagnostic Test Metrics10m
Diagnostic tests and the COVID-19 pandemic20m
Quiz Instructions5m
Receiver Operative Characteristic (ROC) Curve10m
Quiz Instructions5m
3 practice exercises
Misclassification15m
Diagnostic Test Metrics30m
Wrap up: Measuring Disease45m

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About the Epidemiology for Public Health Specialization

Thousands of new epidemiological studies are conducted every year and their results can have a profound impact on how we live our lives. Decisions regarding the food you eat, how much you exercise, where you live and what treatment you will follow if you get sick are made based on data from such studies. This specialization aims to equip you with the skills that will allow you to correctly interpret epidemiological research, consider its limitations, and design your own studies. The first course of the specialisation, Measuring Disease in Epidemiology, looks into the main measures used in epidemiology and how these can inform decisions around public health policy, screening and prevention. The second course, Study Designs in Epidemiology, provides an overview of the most common study designs, their strengths and limitations. The third course, Validity and Bias in Epidemiology, builds on the fundamental concepts taught in the previous courses to discuss bias and confounding and how they might affect study results. It also provides the essential skills to prevent and control bias and confounding and critically think about causality. At the end of this specialization you will have gained the essential skills to design and critique epidemiological research and you will be able to pursue more advanced courses in epidemiology. Although this specialization is part of the GMPH programme, it can be taken independently of the GMPH....
Epidemiology for Public Health

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