Comentários e feedback de alunos de Epidemias - A Dinâmica das Doenças Infecciosas da instituição Universidade Estadual da Pensilvânia
Sobre o curso
Melhores avaliações
Can't fault this course at all and nor would I want to. Very interesting, brilliantly presented and the range of experts really enhanced it. It was engaging and made me keen to find out more.
It is a wonderful course , I have gain and updated my Knowledge in the area of Epidemics and Infectious Disease, Thanks to the Course organizers and most effective presentations . Dr Shivaji
251 — 275 de 320 Avaliações para o Epidemias - A Dinâmica das Doenças Infecciosas
por Dickson A
•Great Course !
por Leandro N
•Great course!
por Rosa
•Great Course!
por Mehran K
•Comprehensive
por Kolby N
•Great Course
por Daniel K
•great course
por Malshi O G
•Really good
por deuzuita b d m
•it is good
por Sara K
•Loved it!
por Lucas S f
•very well
por 李晓雨
•very good
por hossam g
•excellent
por Ricardo G R
•Amazing!
por eleonor
•great!
por 邵红霞
•great
por ABHRAJIT D
•good
por Mona A A
•GOOD
por Alfred L J
•good
por kiat
•Nice
por Josephine P
•G
por Kuong S
•R
por Alejandro P
•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).
por Dave W
•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.
por Ed B
•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.
por Nicole K D
•Year of COVID19. This course helped explain how disease, pathogens, treatments, cultural attitudes, and global collaboration work. Spurred more of an interest in this field of study. Professors articulated the information well, but I did have to follow the transcripts from time to time; though those were incorrect a few times too. A great course, I look forward to an update, considering they talked about the "Ebola epidemic" from 2014 in the Q&A at the end.
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