Part 6 - Moving between demographics

In this sixth part of the tutorial you will:

• Understand how you can move individuals between demographics using metawards.movers.

• Use go functions to model the movement of individuals as they go into isolation and then are released back to their normal life

• Learn how to write custom movers to investigate when individuals should isolate, and how many days they should stay quarantined.

• Learn how to conditionally send a fraction of individuals to another demographic, so you can investigate different levels of compliance with self-isolation orders, and different compliance rates for quarantine

• Movers and go functions
  • Demographic for self-isolation
  • Moving individuals to isolation
  • Mixing without infection
  • Running the model
  • The asymptomatic stage
  • Adjusting progress
• Self-isolation duration
  • Using demographics to represent days
  • Moving daily
  • Mixing home and released
• How many days of self-isolation is needed?
  • Analysing the results
  • Relections on results
• Conditional Compliance
  • Moving a fraction of individuals
  • Scanning compliance
• Staying under quarantine
  • go_early functions
  • Scanning quarantine
  • Analysis
  • Reflections on results