Wirichada Pan-ngum

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”