Measuring Disease in Epidemiology
Epidemiology for Public Health,
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.
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| Rating | 4.5★ based on 38 ratings |
|---|---|
| Length | 5 weeks |
| Effort | 4 weeks, 2-4 hrs/week |
| Starts | Oct 31 (32 weeks ago) |
| Cost | $50 |
| From | Imperial College London via Coursera |
| Instructor | Filippos Filippidis |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Science Data Science |
| Tags | Life Sciences Data Science Data Analysis Public Health |
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What people are saying
easy to understand
Easy to understand, very useful Quizzes are difficult, requiring far too much time.
I Although the videos are well done and the teacher makes it easy to understand, it is extremely frustrating that the answers are in decimals and there is no way to know exactly the answer the tests ask (even if you do it in excel, it won't necessarily give you the same as the professor has, depending on how he configured his excel program).
This isn't an easy subject, but it is made easy to understand.
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very good
The course material, video lectures were very intractive teaching methodology which has enabled me to understand a lot, the course enabled me to have very good understanding about Epidemiological Study measures of disease frequencies.
it was wonderful, the exams were brain-stimulating Very informative The course is very good and directed to the subject that approaches with useful exercises to understand each concept very well.
very good A clear and concise framework about epidemiological measurements definition, meaning & applications, including measurements of associations, health impacts, and validity of screening tests.
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excellent course
Very clear, lots of exercises An excellent course, very practical and professional.
Thank you for the excellent course materials, quizzes, and discussions.
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| Rating | 4.5★ based on 38 ratings |
|---|---|
| Length | 5 weeks |
| Effort | 4 weeks, 2-4 hrs/week |
| Starts | Oct 31 (32 weeks ago) |
| Cost | $50 |
| From | Imperial College London via Coursera |
| Instructor | Filippos Filippidis |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Science Data Science |
| Tags | Life Sciences Data Science Data Analysis Public Health |
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