SN
Apr 11, 2016
great course and its intensive learning . One might think its just another course . However, one needs to follow all the lectures and notes closely to be able to pass all their assignments .
DR
Jan 24, 2022
Considero que es un excelente curso para introducirse al área de la epidemiología, ya sea para profesionales del área de la salud o personas que quieran tener un conocimiento general del tema.
By FATIMAH A S A F A S A
•Oct 21, 2024
ممتازه جدا
By roxana g g
•May 26, 2023
buen curso
By deuzuita b d m
•Mar 6, 2016
it is good
By Amit P ( O
•Feb 26, 2025
Very Good
By Zia U R
•Aug 5, 2024
Excellent
By Peter O
•Apr 12, 2022
i love it
By Sara K
•Apr 28, 2017
Loved it!
By Lucas F
•Feb 3, 2016
very well
By 李晓雨
•Aug 31, 2015
very good
By hossam g
•Aug 30, 2015
excellent
By Ricardo G R
•Aug 14, 2015
Amazing!
By eleonor
•Jun 10, 2016
great!
By Henok M
•Jan 25, 2023
great
By 邵红霞
•Nov 21, 2017
great
By Alfred L J
•Jul 19, 2023
good
By ABHRAJIT D
•Sep 19, 2020
good
By Mona A A
•Jun 3, 2020
GOOD
By kiatnern
•Apr 21, 2016
Nice
By Igu C
•Oct 8, 2022
By Josephine P
•Oct 26, 2016
G
By Kuong S
•Oct 7, 2015
R
By Alejandro P
•Aug 17, 2015
I liked the course, with its many different speakers and approaches.
The one thing I missed the most was seeing the models in action. Even if the course isn't aimed at scientists or programmers, there are free online simulations where one can adjust model constants to see the effects interactively without any knowledge required.
See NetLogo at http://ccl.northwestern.edu/netlogo/, for which there are forest fire, disease spread in networks, cellular automatas and many other interactive simulations. Insight providing questions may involve finding the value of a parameter such as the epidemic can't spread, for instance.
For more formula oriented optional exercises, I would recommend something similar to Differential Equations in Action from Udacity. It's a relatively easy course implementing the SIR model, physics and ABS. An exercise could be "modify the simulation to consider X% germs get resistant after each antibiotic treatment" (either in NetLogo, or Python).
By Catherine K
•Aug 24, 2023
It was a good course. It covered everything I had expected. I didn't care for the "epidemiologist" sections but realize it is integral to the subject. I purchased David Quammen's ebook "Spillover" this year and have read through it. Twice. Fascinating stuff! Much of what was in this book, was included in this course so I had an idea about bats, and spillover, and where HIV came from, and how fast SARS circled the Earth.
I was front line staff, Clinical Lead, for the first CoV-19 outbreak in the first Nunavut Community in Nov. 2020. I was working as Regional Communicable Disease Co-Ordinator when the First Omicron variant arrived in the first Nunavut Community in Dec. 2021. This course helped me link many of the processes which our Dept. of Health was utilizing at the time.
By Dave W
•Aug 1, 2020
Ideally I would have liked a bit more maths, having obtained a textbook by the lead academic in this course, but nevertheless I have learned good background information regarding the subject. Having the virus at present allows this information to be put into practice. However I do believe, that the course could be 'tidied' up. The transcripts of the lectures have been used for a few years. They have some errors and it would be more professional if they had been corrected by now. Some of the links are dysfunctional. These should be checked and adjusted accordingly.
By Ed B
•Mar 22, 2020
This course was a good introduction to Epidemics. I feel that I have a good grasp of the complex nature of this field of study, and the different factors that can play a part in epidemiological outcomes. I would have liked have been exposed to more of the modelling methods in the field, but SIR model was a good introduction and allowed me to look further into agent and individual based models and I have a good enough understanding of the jargon to follow scientific papers on the modelling of infectious diseases.