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Set ITN parameters

Source: R/set_bednets.R
set_bednets.Rd

Set ITN parameters

Usage

set_bednets(
  params,
  continuous_distribution = FALSE,
  daily_continuous_cov = NULL,
  days = NULL,
  coverages = NULL,
  gamman = 2.64 * 365,
  retention = 3 * 365,
  dn0 = 0.41,
  rn = 0.56,
  rnm = 0.24,
  distribution_type = "random"
)

Arguments

params

malariasimple parameters

continuous_distribution

Is ITN distribution continuous? If FALSE, distribution is assumed to occur in discrete events.

daily_continuous_cov

Vector of daily ITN coverage (required when continuous_distribution = TRUE). A single value is also accepted

days

Vector of days on which ITN distribution events occur (required when continuous_distribution = FALSE). Analogous to 'timesteps' argument in malariasimulation

coverages

Vector detailing the proportion of the population receiving an ITN during each intervention (required when continuous_distribution = FALSE)

gamman

Mean lifetime ITN insecticide efficacy (days).

retention

Average number of days a net is kept for

dn0

Probability of mosquito dying upon an encounter with ITN (max)

rn

Probability of repeating behaviour with ITN (max)

rnm

Probability of repeating behaviour with ITN (min)

distribution_type

Either 'random' or 'correlated'

Value

Updates the input parameter list to include ITN parameters

Examples

n_days <- 500
#Discrete distribution scenario
discrete_itn_params <- get_parameters(n_days = n_days) |>
  set_bednets(days = c(50,100,200),
          coverages = c(0.2,0.5,0.1)) |>
  set_equilibrium(init_EIR = 10)

#Continuous distribution scenario
continuous_cov <- 0.2 + 0.15*(sin(2 * pi * (1:n_days / 365)) + 1)
discrete_itn_params <- get_parameters(n_days = n_days) |>
  set_bednets(continuous_distribution = TRUE,
          daily_continuous_cov = continuous_cov) |>
  set_equilibrium(init_EIR = 10)