Yes. The idea is that you start with the real data and you build a machine-learning or AI model that learns all the patterns in the real data, and then you generate new data from this model.
The generated data has no mapping to the original data. It has no mapping to real people. It's fake data that's generated from a model, but it maintains the properties and characteristics of the real data. You can do many kinds of analytics and surveillance—in this case, public health surveillance—using the synthetic data, but you have strong privacy protection at the same time.