À propos de ce cours

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Dates limites flexibles

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Niveau débutant

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

Approx. 10 heures pour terminer

Recommandé : 4 weeks, 2-4 hrs/week...

Anglais

Sous-titres : Anglais

Ce que vous allez apprendre

  • Check

    Calculate and interpret appropriate measures in order to describe disease frequency, association and attributable risk for given scenarios.

  • Check

    Calculate sensitivity, specificity, positive and negative predictive values, in order to interpret these values in the context of screening.

Compétences que vous acquerrez

incidenceEpidemiologyPrevalenceassociation

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.

Niveau débutant

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

Approx. 10 heures pour terminer

Recommandé : 4 weeks, 2-4 hrs/week...

Anglais

Sous-titres : Anglais

Programme du cours : ce que vous apprendrez dans ce cours

Semaine
1
2 heures pour terminer

Measures of disease frequency

One of the main purposes of epidemiology is to describe the frequency of diseases or other conditions that are important for the health of populations. Depending on the circumstances, there are different types of measures that you can use to do this. In this module, you will learn to calculate measures such as the prevalence, odds, cumulative incidence and incidence rate. We will highlight what they have in common as well as their differences. By the end of the module, you will be able to select and calculate the appropriate measure of frequency in a variety of contexts....
5 vidéos (Total 18 min), 7 lectures, 1 quiz
5 vidéos
Odds3 min
Prevalence3 min
Cumulative Incidence5 min
Incidence rate5 min
7 lectures
About Imperial College & the team5 min
How to be successful in this course5 min
Grading policy5 min
Glossary & Additional readings 20 min
Recap: Measures of Frequency10 min
Quiz Instructions2 min
Relationship between Measures of Frequency10 min
1 exercice pour s'entraîner
Measures of Frequency30 min
Semaine
2
2 heures pour terminer

Measures of association

This module starts by introducing the distinction between association and causation, which is critical not only for epidemiology, but for research in general. Subsequently, you will learn all the main measures epidemiologists use to quantify association; mainly risk and rate differences and risk, rate and odds ratios. Over the course of this module, you will develop the skills to calculate and interpret measures of frequency. This is not enough by itself though, so you will also learn to select the most appropriate measure depending on the research question and the availability of data....
5 vidéos (Total 19 min), 4 lectures, 2 quiz
5 vidéos
Relative Measures of Association5 min
Absolute Measures of Association3 min
Relative and Absolute Measures of Association4 min
Ratios Versus Differences2 min
4 lectures
The 2x2 Table10 min
Recap: Measures of Association10 min
Quiz Instructions2 min
Quiz Instructions2 min
2 exercices pour s'entraîner
Measures of Association: Part 130 min
Measures of Association: Part 230 min
Semaine
3
2 heures pour terminer

Attributable risk and strategies for prevention

Published studies often report the magnitude of the association they investigate, which is clearly important when trying to identify causal links. Sometimes though, what we are interested in is the impact of a factor or of a disease on the population as a whole. This is when the concepts of attributable risk and of population attributable risk come in handy. These measures quantify the population impact of a health-related factor and therefore are particularly useful for health policy. Equipped with this knowledge, you will then explore the two main approaches to disease prevention: the high-risk and the population approach....
3 vidéos (Total 14 min), 4 lectures, 1 quiz
3 vidéos
Population Attributable Risk3 min
The Prevention Paradox4 min
4 lectures
Recap: Attributable Risk10 min
Quiz Instructions10 min
Overview of Measures in Epidemiology10 min
Strategies of Prevention30 min
1 exercice pour s'entraîner
Attributable Risk30 min
Semaine
4
3 heures pour terminer

Disease detection and screening

Diagnostic tests are used all the time to determine whether an individual is sick or not. However, these tests are far from perfect. Quantifying their imperfection allows us to understand their limitations and interpret their results. In this module, you will learn to calculate and interpret the metrics used to do this, including sensitivity, specificity, positive and negative predictive values. Using these metrics, you will subsequently learn to evaluate whether a screening programme can be effective or not considering its methodological and practical aspects....
6 vidéos (Total 22 min), 5 lectures, 3 quiz
6 vidéos
Predictive Values3 min
Calculation of Diagnostic Test Metrics4 min
Screening3 min
Evaluating Screening5 min
Course Summary1 min
5 lectures
Disease Detection and Diagnostic Tests5 min
Recap: Diagnostic Test Metrics10 min
Quiz Instructions5 min
Receiver Operative Characteristic (ROC) Curve10 min
Quiz Instructions5 min
3 exercices pour s'entraîner
Misclassification15 min
Diagnostic Test Metrics30 min
Wrap up: Measuring Disease45 min

Enseignant

Avatar

Filippos Filippidis

Lecturer in Public Health
School of Public Health

À propos de Imperial College London

Imperial College London is a world top ten university with an international reputation for excellence in science, engineering, medicine and business. located in the heart of London. Imperial is a multidisciplinary space for education, research, translation and commercialisation, harnessing science and innovation to tackle global challenges. Imperial students benefit from a world-leading, inclusive educational experience, rooted in the College’s world-leading research. Our online courses are designed to promote interactivity, learning and the development of core skills, through the use of cutting-edge digital technology....

À propos de la Spécialisation Epidemiology for Public Health

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

Foire Aux Questions

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