Part 2 - Refining the model
In this second part of the tutorial you will:
Learn how to change a disease model by adding in an extra “infectious but asymptomatic” stage to the lurgy.
Learn how to perform parameter sweeps to investigate how disease parameters change the population trajectories during a model run.
Understand random error by running a parameter sweep with many repeats.
Learn how to run
metawardson a HPC cluster
Learn how to examine a hypothesis and conduct a large model run on a cluster to gather evidence.
Learn how to change the underlying geographic model data
- Refining the disease model
- Adjustable Variables
- Analysing the output
- Running on a cluster
- Refining the model
- Model data