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Prepare Future Scenario Parameters for Transmission Model

prepare_future_data.Rd

This function generates an updated parameter list for projecting future scenarios in a transmission model. It modifies the vaccination coverage, R0 values, and seeding of new cases based on a user-specified set of future events. It also resets migration, birth, and death inputs to their final known values.

Usage

prepare_future_data(params, future_events, current_susceptibility)

Arguments

params

A named list of model parameters as used in the core transmission model.

future_events

A `data.frame` specifying future event timepoints and modifications. Must contain:

  • year: Future year (numeric, in calendar years).

  • relative_coverage: Multiplicative modifier to vaccination coverage.

  • R0: Basic reproduction number for each future year.

  • introduced_cases: Number of seed infections to introduce at each timepoint.

current_susceptibility

A named list with updated `S0`, `Rpop0` values reflecting the final simulation state.

Value

A modified version of the `params` list ready to run forward simulations under future scenarios.