#' @title Parameterise antimalarial resistance
#' @description
#' Parameterise antimalarial resistance
#'
#' @param parameters the model parameters
#' @param drug the index of the drug which resistance is being set, as set by the set_drugs() function, in the parameter list
#' @param timesteps vector of time steps for each update to resistance proportion and resistance outcome probability
#' @param artemisinin_resistance_proportion vector of updates to the proportions of infections that are artemisinin resistant at time t
#' @param partner_drug_resistance_proportion vector of updates to the proportions of infections that are partner-drug resistant at time t
#' @param slow_parasite_clearance_probability vector of updates to the proportion of artemisinin-resistant infections that result in early treatment failure
#' @param early_treatment_failure_probability vector of updates to the proportion of artemisinin-resistant infections that result in slow parasite clearance
#' @param late_clinical_failure_probability vector of updates to the proportion of partner-drug-resistant infections that result in late clinical failure
#' @param late_parasitological_failure_probability vector of updates to the proportion of partner-drug-resistant infections that result in late parasitological failure
#' @param reinfection_during_prophylaxis_probability vector of updates to the proportion of partner-drug-resistant infections that result in reinfection during prophylaxis
#' @param slow_parasite_clearance_time single value representing the mean time individual's experiencing slow parasite clearance reside in the treated state
#' @export
set_antimalarial_resistance <- function(parameters,
drug,
timesteps,
artemisinin_resistance_proportion,
partner_drug_resistance_proportion,
slow_parasite_clearance_probability,
early_treatment_failure_probability,
late_clinical_failure_probability,
late_parasitological_failure_probability,
reinfection_during_prophylaxis_probability,
slow_parasite_clearance_time) {
if(any(partner_drug_resistance_proportion > 0,
late_clinical_failure_probability > 0,
late_parasitological_failure_probability > 0,
reinfection_during_prophylaxis_probability > 0)) {
stop("Parameters set for unimplemented feature - late clinical failure, late parasitological failure, or reinfection during prophylaxis")
}
if(any(c(length(artemisinin_resistance_proportion),
length(partner_drug_resistance_proportion),
length(slow_parasite_clearance_probability),
length(early_treatment_failure_probability),
length(late_clinical_failure_probability),
length(late_parasitological_failure_probability),
length(reinfection_during_prophylaxis_probability)) != length(timesteps))) {
stop("Length of one or more resistance parameter vectors does not match time steps specified for update")
}
if(any(artemisinin_resistance_proportion < 0 | artemisinin_resistance_proportion > 1 |
partner_drug_resistance_proportion < 0 | partner_drug_resistance_proportion > 1)) {
stop("Artemisinin and partner-drug resistance proportions must fall between 0 and 1")
}
if(any(slow_parasite_clearance_probability < 0 | slow_parasite_clearance_probability > 1 |
early_treatment_failure_probability < 0 | early_treatment_failure_probability > 1 |
late_clinical_failure_probability < 0 | late_clinical_failure_probability > 1 |
late_parasitological_failure_probability < 0 | late_parasitological_failure_probability > 1 |
reinfection_during_prophylaxis_probability < 0 | reinfection_during_prophylaxis_probability > 1)) {
stop("Resistance outcome probabilities must fall between 0 and 1")
}
if(length(slow_parasite_clearance_time) != 1) {
stop("Error: length of slow_parasite_clearance_time not equal to 1")
}
if(slow_parasite_clearance_time <= 0) {
stop("Error: slow_parasite_clearance_time is non-positive")
}
parameters$antimalarial_resistance <- TRUE
n_drugs <- length(parameters$drug_efficacy)
if (drug < 1 | drug > n_drugs) {
stop('Drug index is invalid, please set drugs using set_drugs')
}
drug_index <- which(parameters$antimalarial_resistance_drug == drug)
if (length(drug_index) == 0) {
drug_index <- length(parameters$antimalarial_resistance_drug) + 1
}
parameters$antimalarial_resistance_drug[[drug_index]] <- drug
parameters$antimalarial_resistance_timesteps[[drug_index]] <- timesteps
parameters$artemisinin_resistance_proportion[[drug_index]] <- artemisinin_resistance_proportion
parameters$partner_drug_resistance_proportion[[drug_index]] <- partner_drug_resistance_proportion
parameters$slow_parasite_clearance_probability[[drug_index]] <- slow_parasite_clearance_probability
parameters$early_treatment_failure_probability[[drug_index]] <- early_treatment_failure_probability
parameters$late_clinical_failure_probability[[drug_index]] <- late_clinical_failure_probability
parameters$late_parasitological_failure_probability[[drug_index]] <- late_parasitological_failure_probability
parameters$reinfection_during_prophylaxis_probability[[drug_index]] <- reinfection_during_prophylaxis_probability
parameters$dt_slow_parasite_clearance[[drug_index]] <- slow_parasite_clearance_time
return(parameters)
}
#' @title Retrieve resistance parameters
#' @description
#' Retrieve the resistance parameters associated with the drug each individual receiving clinical
#' treatment has been administered in the current time step.
#'
#' @param parameters the model parameters
#' @param drugs vector of integers representing the drugs administered to each individual receiving treatment
#' @param timestep the current time step
get_antimalarial_resistance_parameters <- function(parameters, drugs, timestep) {
if(!parameters$antimalarial_resistance) {
stop("Error: Antimalarial resistance has not been parameterised; antimalarial_resistance = FALSE")
}
blank_vector <- numeric(length = length(drugs))
artemisinin_resistance_proportion <- blank_vector
partner_drug_resistance_proportion <- blank_vector
slow_parasite_clearance_probability <- blank_vector
early_treatment_failure_probability <- blank_vector
late_clinical_failure_probability <- blank_vector
late_parasitological_failure_probability <- blank_vector
reinfection_during_prophylaxis_probability <- blank_vector
dt_slow_parasite_clearance <- rep(parameters$dt, length = length(drugs))
for(i in seq_along(parameters$antimalarial_resistance_drug)) {
drug <- parameters$antimalarial_resistance_drug[[i]]
treated_with_drug <- which(drugs == drug)
resistance_timestep <- match_timestep(ts = parameters$antimalarial_resistance_timesteps[[i]], t = timestep)
artemisinin_resistance_proportion[treated_with_drug] <- parameters$artemisinin_resistance_proportion[[i]][resistance_timestep]
partner_drug_resistance_proportion[treated_with_drug] <- parameters$partner_drug_resistance_proportion[[i]][resistance_timestep]
slow_parasite_clearance_probability[treated_with_drug] <- parameters$slow_parasite_clearance_probability[[i]][resistance_timestep]
early_treatment_failure_probability[treated_with_drug] <- parameters$early_treatment_failure_probability[[i]][resistance_timestep]
late_clinical_failure_probability[treated_with_drug] <- parameters$late_clinical_failure_probability[[i]][resistance_timestep]
late_parasitological_failure_probability[treated_with_drug] <- parameters$late_parasitological_failure_probability[[i]][resistance_timestep]
reinfection_during_prophylaxis_probability[treated_with_drug] <- parameters$reinfection_during_prophylaxis_probability[[i]][resistance_timestep]
dt_slow_parasite_clearance[treated_with_drug] <- parameters$dt_slow_parasite_clearance[[i]]
}
resistance_parameters <- list()
resistance_parameters$artemisinin_resistance_proportion <- artemisinin_resistance_proportion
resistance_parameters$partner_drug_resistance_proportion <- partner_drug_resistance_proportion
resistance_parameters$slow_parasite_clearance_probability <- slow_parasite_clearance_probability
resistance_parameters$early_treatment_failure_probability <- early_treatment_failure_probability
resistance_parameters$late_clinical_failure_probability <- late_clinical_failure_probability
resistance_parameters$late_parasitological_failure_probability <- late_parasitological_failure_probability
resistance_parameters$reinfection_during_prophylaxis_probability <- reinfection_during_prophylaxis_probability
resistance_parameters$dt_slow_parasite_clearance <- dt_slow_parasite_clearance
return(resistance_parameters)
}
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