Dosing

Bolus(state, amount, t)

A bolus dose, increasing the value of state of the model by amount. The dose takes places at time t.

Example

dose = Bolus(state = s1, amount = 0.5, t = 2.0)

PeriodicBolus(state, amount, t_period, t_first = 0, initial_affect = !iszero(t_first))

A periodic bolus dose, increasing the value of state of the model by amount with a period equal to t_period. A delay until the first dose can be added using the t_first argument.

• t_first defaults to zero, in which case only t_period determines the dosing times.
• If initial_affect = true, then t_first is the time of the first dose and all doses

after it will follow the period t_period. If t_first is not zero, then initial_affect will default to true.

• If initial_affect = false, then the first dose will take place one period after t_first

so at time equal to t_first + t_period. In this case t_first works only as a time delay and does not represent the time of first dose.

Example

# Dose at t = 2.0, 4.0, 6.0, ...
dose = PeriodicBolus(state = s1, amount = 0.5, t_period = 2.0)

# Dose at t = 1.0, 3.0, 5.0, ...
dose = PeriodicBolus(state = s1, amount = 0.5, t_period = 2.0, t_first = 1.0)

# Dose at t = 3.0, 5.0, 7.0 ...
dose = PeriodicBolus(state = s1, amount = 0.5, t_period = 2.0, t_first = 1.0, initial_affect = false)

Infusion(state, rate, t, duration)

An infusion increasing the rate of change of state of the model by rate. The dose takes places at time t and lasts for a time equal to duration.

Example

dose = Infusion(state = s1, rate = 0.05, t = 2.0, duration = 5.0)

PeriodicInfusion(state, rate, t_period, duration, t_first = 0, initial_affect =  !iszero(t_first))

A periodic infusion increasing the rate of change of state of the model by rate for a time window equal to duration, repeated every t_period time units. The time period counts from the onset of the infusion, so t_period > duration needs to hold for non-overlapping infusions. A delay until the first dose can be added using the t_first argument.

• t_first defaults to zero, in which case only t_period determines the onset of each infusion.
• If initial_affect = true, then t_first is the time of the first dose and all doses

after it will follow the period t_period. If t_first is not zero, then initial_affect will default to true.

• If initial_affect = false, then the first dose will take place one period after t_first

so at time equal to t_first + t_period. In this case t_first works only as a time delay and does not represent the time of first dose.

Example

# Infusions at t = [2.0, 4.0, 6.0, ...] lasting 0.5 each
doses = PeriodicInfusion(state = s1, rate = 0.1, t_period = 2.0, duration = 0.5)

# Infusions at t = [1.0, 3.0, 5.0, ...] lasting 0.5 each
doses = PeriodicInfusion(state = s1, rate = 0.1, t_period = 2.0, duration = 0.5, t_first = 1)

# Infusions at t = [3.0, 5.0, 7.0 ...] lasting 0.5 each
doses = PeriodicInfusion(state = s1, rate = 0.1, t_period = 2.0, duration = 0.5, t_first = 1, initial_affect = false)