A repisitory containing an age-stratified influenza model, simulated either spatially-explicit or non-spatially-explicit for Belgium. Uses the in-house code of the JHU IDD group to simulate and calibrate the model.
- Learn how to build models with FlepiMoP
- Benchmark computational complexity and user-friendliness against my influenza demo model implemented using pySODM.
- Calibrate the models to data from the 2017-2018 Influenza season in Belgium. Once more assess its computational complexity and user-friendliness.