We heard you.

When we released part one of our vaccination speed prediction series, we got a few requests. "Can we compare our speed to other countries?", "I would love to see the results for the Netherlands!", and so on. Good news. We heard you loud and clear. You wanted to be able to see how other countries were doing in terms of vaccination speed and compare those results to the Belgian results. So, we did some research and were able to provide a more extensive overview, including Europe's vaccination data and some more statistics.


Didn't see our last blog? Let's recap how we were able to do this. By combining Robotics Process Automation (RPA) and Artificial Intelligence (AI), we were able to create an autonomous flow that results in our prediction graphics. The first step of the process was putting our RPA bots to work. As we needed to be able to make predictions, we needed data to feed our AI algorithm. To get this data, our bots scour the internet for relevant official vaccination data, which are then sent to an Excel file by the bots. In addition, the bots keep adding new data to the existing rows every day, so the model keeps training.

As for the Artificial Intelligent part, we used Microsoft Azure to point us to the best AI model for this case, which was chosen from hundreds of different models that are trained simultaneously. The models were compared on several properties, including accuracy and drift. Today, our application uses a deep learning algorithm to find patterns in the data and make the right prediction. This means that the program creates a kind of "rudimentary brain" that can find connections in the data. Once the model was established, we published it to an API so we could also share it publicly and privately... Hence, our blogs.


Time to check out which country is vaccinating at the speed of light! In our new and improved application, we included the vaccination progress per country, the current and predicted winners of the vaccination race, the percentage vaccinated per country and the acceleration change per week. Check it out here:

Do you have any other features you'd like to see? Contact us!


So, where did we get our data? We mentioned that we used official data for our rudimentary application, and some of you were curious as to where we found this data. With our latest additions, we use a different data source than for our first model. For instance, our European data comes from the European Center for Disease Prevention and Control. You can read more about this here (Github, world data) and here (ECDC, European data).