Back to Measuring Disease in Epidemiology
Imperial College London

Measuring Disease in Epidemiology

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.

Status: Health Policy
Status: Statistical Analysis
BeginnerCourse10 hours

Featured reviews

AA

5.0Reviewed Jan 15, 2021

This is a great introduction to both the Coursera Specialization where it belongs. The lectures, quizzes and other contents are engaging and well-made.

IS

5.0Reviewed Jun 21, 2020

A very interesting course. It makes me very curious about solving assignments and test my knowledge. A wonderful experience. Thank you.

BR

5.0Reviewed Sep 26, 2021

Thank you for the excellent course materials, quizzes, and discussions. This was a very complete course, absolutely worth the time and effort.

MG

4.0Reviewed Sep 29, 2019

The couse is excellent but the quizzes answers should be multiple choices not open answer and after passing the quizzust provide us with the right answers of the wrong answered one

RP

5.0Reviewed Jan 1, 2021

Very useful independently but also for better interpreting going further regression models e.g. logistic ones in statistics. Clearly explained and with relevant examples.

JV

5.0Reviewed Oct 19, 2019

The course is very good and directed to the subject that approaches with useful exercises to understand each concept very well.

RD

5.0Reviewed Apr 10, 2021

Excellent course! The videos are to the point and are easy to understand. I definitely would recommend others to do this course!

JV

5.0Reviewed Oct 11, 2019

The develop of this course was amazing,. There were some difficults but in my opinion, the Lecturers were so clear in general giving us the information. It was a great experience for me.

AN

4.0Reviewed Jul 8, 2020

Great course that builds up concepts gradually and really respects your time. Highly recommend for anyone looking for a gentle introduction to some basic epidemiological concepts

GR

5.0Reviewed Jul 27, 2019

Very straight forward and interesting. The professor is great at answering questions and providing helpful tips to complete the course.

II

4.0Reviewed Jan 14, 2022

G​ood overview on basic epidemiological statistics that are also taught in med school - very comprehensible recap for me, thanks!

RI

5.0Reviewed Dec 3, 2020

Great course to gain an understanding of different ways of measurement and interpretation of public health interventions. The lecturers use visualized examples which is a great addition to the course.

All reviews

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Bruno Adler Maccagnan Pinheiro Besen
5.0
Reviewed Mar 6, 2019
Neha Malik
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Reviewed May 20, 2020
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Deusdenir de Souza Matis
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Reviewed May 30, 2019