Example data | Filtering impact data | Filtering on touchstone | Filtering on diseases | Flagging duplicates | Filtering invalid trajectories | Identifying differences between datasets | Generating differences | Generate national IQRs | Flag large differences | Generate a combined dataset | Comparing national values to regional values | Plotting functions | Plotting significant differences | Plotting modelling group variation | Plotting GAVI vaccination | Plot cumulative values

Big picture | Function organisation | Package data | Package dependencies | Data frames and tibbles | Testing

Representing countries and territories | Representing infection parameters | Representing vaccine investment for pandemic preparedness | Running the model | References

Default contact settings | Basic example using POLYMOD | Passing setting-specific contact scaling | Future developments | References

Creating an NPI class object | Common rules for NPI triggers | Time-limiting a pre-canned response | Bespoke time-limited response | Repeated time-limited response

Compare demography | Examine age patterns | Global burden by decade | Global burden timeseries | Coverage sets | Fully-vaccinated persons

References

Value of a life year | Life expectancy and years of life lost | Value of a statistical life | Value of lives lost | References

Rationale | Epidemiological model | Model structure | Ordinary differential equations | Age-sector classes | Vaccination classes | Model transition parameters | Seed and force of infection | Disease transition rates | Vaccination | Modelling economic losses | Economic activity losses | References

References

Value of a school year | Valuation constants | Country GNI | Present value of future earnings | Value of education lost | Future developments