Wirichada Pan-ngum

Hope we can remember practicing this more often in our daily life.

Good questions! I think you would know when you are not giving relevant feedback to the topic of conversation. Also at the end of conversation, who said the most? Was it you who are supposed to be the listener or the other person.

There are a lots of talks around super spreading events that our deterministic model SEIR cannot capture. Check out how this could make such impact on set start the new wave.

I have given some examples in COVID19 but there are many more happening right now and they vary from country to country too.

Excellent thoughts on the project, Ameen! I have to stay you hit the points we have been discussing in the modelling working group with the MoPh. Let’s think a bit more about shorten the quarantine duration. What would that mean to the transmission.

You have suggested several potential strategies including limit number of tourists, other…[Read more]

The model is in the form of web tool as you can see. The actual model is coded in R but it is super complicated. Unless you need to further develop or modify the code I can share with you. In this course we do not intend to do anything that complicated.

Can I hear more from the others…what are you interested in?

Indeed this is a valid topic and very important Ameen. We work with the ministry on intervention study and predicting the disease impacts on the population level. Check it out https://comomodel.net/ our consortium and partners around the world!

For example of dengue in the lecture, you can see that questions to be answered by statistical and modelling approach are different. For statistics, you need to look at data and use the data in the analysis. For modelling it is more about predicting ‘what if’ scenarios. Data comes last when you want to test the model which you constructed from the…[Read more]

I completely agree with you, especially the benefit to the people in the rural where having the internet could change their life style a lot, both in good and bad way.

From my experience, I also found redundancy of data a big problem. Partly this is because people want to collect as much as possible and this results in now different values for the same thing. This creates extra work for people who need to reconcile more than one sources of data.

More to come in the last week on data sharing issue.

Data cleaning is repetitive and time consuming.

Data cleaning takes so much time.

Many practical points have been raised. Well done.

Good example for Thailand UHC. Still areas for improvement though we have come relatively far compared to many countries in this region. In the aging era, this would be very challenging indeed.

The students from Thailand have raised some important points about UHC we have. There will be more discussion about this topic in week 3. Well done!

Completely agreed. More information published in the reading assignment this coming week on “User perceptions towards EMR at Marie Stopes International Clinics”