Calculate the Cumulative Effect of Interventions on Rate Parameters

Calculate the Cumulative Effect of Interventions on Rate Parameters

Usage

.cumulative_rate_intervention(t, time_begin, time_end, reduction)

Arguments

t

The current time.

time_begin

A numeric vector of the start times of all interventions being modelled.

time_end

A numeric vector of the end times of all interventions being modelled. Must be the same length as time_begin.

reduction

A numeric vector where each element gives the effect of the corresponding intervention on model rate parameters. When two interventions overlap, the proportions are added, for a maximum possible value of 1.0 (i.e., rate set to zero).

Value

.cumulative_rate_intervention() returns a number of the proportion reduction in a model rate parameter.

intervention_on_cm() returns the contact matrix cm scaled by the cumulative effect of any active interventions.