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學生對 约翰霍普金斯大学 提供的 Data and Health Indicators in Public Health Practice 的評價和反饋

449 個評分
105 條評論


Epidemiology is often described as the cornerstone science in public health. Epidemiology in public health practice uses study design and analyses to identify causes in an outbreak situation, guides interventions to improve population health, and evaluates programs and policies. In this course, we'll define the role of the professional epidemiologist as it relates to public health services, functions, and competencies. With that foundation in mind, we'll introduce you to the problem solving methodology and demonstrate how it can be used in a wide variety of settings to identify problems, propose solutions, and evaluate interventions. This methodology depends on the use of reliable data, so we'll take a deep dive into the routine and public health data systems that lie at the heart of epidemiology and then conclude with how you can use that data to calculate measures of disease burden in populations....

76 - Data and Health Indicators in Public Health Practice 的 100 個評論(共 102 個)

創建者 Jalen K B

Oct 15, 2017

More modules

創建者 Owen K

Jul 02, 2018

best course

創建者 Marvellous O E

Mar 14, 2019



Feb 23, 2019

Thank you

創建者 alejandro i

Dec 14, 2018


創建者 Sergio A R B

Apr 11, 2018


創建者 dominico o

Feb 12, 2019


創建者 Ahmad B

Jan 14, 2020

This course is an excellent introduction to the rudiments of epidemiology and public health in general. I will recommend that anyone interested in or starting out in public health study or practice to take this course. I profoundly thank the course organizer, faculty, John Hopkins University and Coursera platform for offering this essential introductory course; Epidemiology in Public Health Practice.

創建者 Eseosa F I

Mar 19, 2019

This was a very easy-to-follow lesson on epidemiology in public health. The illustrations and exercises were useful for better understanding. I am glad I took this course as it has laid a good foundation for my career goals.

創建者 杜若

Mar 11, 2018

The content is very useful. I learn about the epidemiology in practice application. And the terms of epidemiology. Wish there would be a Chinese script.

創建者 Ranya A

Sep 15, 2017

I think the last week's module was by far the most helpful. Although the first three weeks were useful, the fourth week made it worth my time.

創建者 Mary W

Jul 23, 2019

Very good instructor and learning aides. You do need to read and then watch the videos as they go quite fast with a lot of details to absorb.

創建者 Marc P

Apr 29, 2018

very interesting course but indicators linked to disease burden need to be further explained/explored.

創建者 Víctor M G R

Jan 11, 2019

It is a great course. This course provides a good introduction about epidemiology in public health.


Jun 23, 2018

Great introductory-level course in applied epidemiology to measure disease burden in public health

創建者 Theresa S

Mar 05, 2019

Great review or introduction to epidemiology in practice. Thanks so much!

創建者 mohrah m a

Jan 03, 2018

It is concise and short course with valuable information. Great course

創建者 Chris J

Nov 26, 2017

Excellent course with solid practical applications.

創建者 paul t

Aug 07, 2019

very enjoyable course and well delivered

創建者 Esteban V

Feb 27, 2018

Buen curso, mal certificado.

創建者 Divya S P

Aug 03, 2017

It was a very useful course

創建者 Bianka B C

Mar 30, 2019

Nice Course, thank you!

創建者 prashant s

Sep 11, 2018

good course

創建者 DR A N

Aug 30, 2017

The course gives a good overview of the terms and knowledge needed for public health epidemiology. However, there also needs to be experience-sharing talks by renowned experts from all over the world on the actual competencies as well as soft skills and temperament required to succeed in this field. Some details in statistical calculations, field epidemiology and the difference with respect to etiologic epidemiology needs to be covered in greater detail.

創建者 Steve V

Jan 08, 2018

Beaucoup d'informations utiles, mais une interface trop sobre pour être réellement didactique. Le contenu pourrait également être amélioré.