/EpiSciML-Tutorials

Julia for Epidemiology - With a Scientific Machine Learning Perspective.

Primary LanguageJulia

EpiSciML-Tutorials

Julia for Epidemiology - With a Scientific Machine Learning Perspective.

A series of tutorials covering the following topics:

Part 1: Tools

  • How to construct UDE models as proxy to compartment models in epidemiology? – How to perform symbolic regression on UDE models in epidemiology? – Comparisons between UDEs and Neural ODEs – Forecasting epidemics

Part 2: Applications

  • The Quarantine SIR model (QSIR) and how to construct it? – Simulating different quarantine scenarios: effects of early reopening – Vaccination SIR model and how to construct it? – How to construct and train your own model for a particular application?

Part 3: ModelingToolkit integration

  • Compartment models in epidemiology – Parameter identification