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The predictions are made with a neural network using the epidemiological SIR model.
The model takes 31 days of training and predicts the next 14 days.
We use the K-means algorithm to cluster Belgium's provinces based on their numbers for infection rate, hospitalisation rate and the percentage of their positive tests
Using data given by Google we present graphs to show the evaluation of mobility in different sectors of the society
