From ac353fdfd1f6ea81ff052b793c783749e20c4319 Mon Sep 17 00:00:00 2001 From: RJSheppard Date: Fri, 28 Jun 2024 11:43:46 +0100 Subject: [PATCH] p.v has a constant asymptomatic infectivity, in contrast to p.f where infectivity is affected by age and immunity. We must therefore change this when asymptomatic infectivity is assigned (when an individual become asymptomatic). This occurs in initial assignments, when someone becomes infected to an asymptomatic status infection and when a clinical diseased individual progresses to asymptomatic. We can use the existing update_infection() function for vivax in human_infection and in disease progression. We can also now remove the gamma1 parameter from the vivax parameter list, used in the falciparum code. The P.v vignette has been extended to include modelled infectivity details. --- R/data.R | 28 +- R/disease_progression.R | 26 +- R/human_infection.R | 26 +- R/parameters.R | 477 ++++---- R/variables.R | 16 +- data-raw/parameter_draws.R | 62 +- ...meter_draws.csv => parameter_draws_pf.csv} | 0 data-raw/parameter_draws_pv.csv | 1001 +++++++++++++++++ data-raw/parasite_parameters.R | 9 + data-raw/parasite_parameters.csv | 118 ++ data/parameter_draws.rda | Bin 183633 -> 0 bytes data/parameter_draws_pf.rda | Bin 0 -> 183792 bytes data/parameter_draws_pv.rda | Bin 0 -> 90758 bytes data/parasite_parameters.rda | Bin 0 -> 1219 bytes man/get_parameters.Rd | 119 +- ...rameter_draws.Rd => parameter_draws_pf.Rd} | 12 +- man/parameter_draws_pv.Rd | 22 + man/parasite_parameters.Rd | 22 + tests/testthat/test-parameter_draws.R | 18 +- tests/testthat/test-vivax.R | 40 + vignettes/Plasmodium_vivax.Rmd | 62 + 21 files changed, 1782 insertions(+), 276 deletions(-) rename data-raw/{parameter_draws.csv => parameter_draws_pf.csv} (100%) create mode 100644 data-raw/parameter_draws_pv.csv create mode 100644 data-raw/parasite_parameters.R create mode 100644 data-raw/parasite_parameters.csv delete mode 100644 data/parameter_draws.rda create mode 100644 data/parameter_draws_pf.rda create mode 100644 data/parameter_draws_pv.rda create mode 100644 data/parasite_parameters.rda rename man/{parameter_draws.Rd => parameter_draws_pf.Rd} (59%) create mode 100644 man/parameter_draws_pv.Rd create mode 100644 man/parasite_parameters.Rd create mode 100644 tests/testthat/test-vivax.R create mode 100644 vignettes/Plasmodium_vivax.Rmd diff --git a/R/data.R b/R/data.R index 6ec11a38..5a04411f 100644 --- a/R/data.R +++ b/R/data.R @@ -1,9 +1,29 @@ -#' Parameter draws +#' Parasite parameters #' -#' 1000 draws from the joint posterior fit from +#' Parasite-specific parameters for P. falciparum and vivax for use in malariasimulation +#' +#' @format ## `parasite_parameters` +#' A +#' +#' @source , +"parasite_parameters" + +#' Parameter draws (P. falciparum) #' -#' @format ## `parameter_draws` +#' A list of 1000 draws from the joint posterior fit from +#' +#' @format ## `parameter_draws_pf` #' A list of lists of length 1000, each level contains a list of drawn parameters #' #' @source -"parameter_draws" \ No newline at end of file +"parameter_draws_pf" + +#' Parameter draws (P. vivax) +#' +#' 1000 draws from the joint posterior fit from +#' +#' @format ## `parameter_draws_pv` +#' A list of lists of length 1000, each level contains a list of drawn parameters +#' +#' @source +"parameter_draws_pv" \ No newline at end of file diff --git a/R/disease_progression.R b/R/disease_progression.R index 98710c44..436a52c0 100644 --- a/R/disease_progression.R +++ b/R/disease_progression.R @@ -36,12 +36,26 @@ progression_outcome_process <- function( renderer ){ - update_to_asymptomatic_infection( - variables, - parameters, - timestep, - variables$state$get_index_of("D")$and(target) - ) + if(parameters$parasite == "falciparum"){ + # p.f has immunity-determined asymptomatic infectivity + update_to_asymptomatic_infection( + variables, + parameters, + timestep, + variables$state$get_index_of("D")$and(target) + ) + } else if (parameters$parasite == "vivax"){ + # p.v has constant asymptomatic infectivity + update_infection( + variables$state, + "A", + variables$infectivity, + parameters$ca, + variables$progression_rates, + 1/parameters$da, + variables$state$get_index_of("D")$and(target) + ) + } update_infection( variables$state, diff --git a/R/human_infection.R b/R/human_infection.R index ae2cfe97..fdd8019c 100644 --- a/R/human_infection.R +++ b/R/human_infection.R @@ -504,12 +504,26 @@ schedule_infections <- function( } if(to_infect_asym$size() > 0) { - update_to_asymptomatic_infection( - variables, - parameters, - timestep, - to_infect_asym - ) + if(parameters$parasite == "falciparum"){ + # p.f has immunity-determined asymptomatic infectivity + update_to_asymptomatic_infection( + variables, + parameters, + timestep, + to_infect_asym + ) + } else if (parameters$parasite == "vivax"){ + # p.v has constant asymptomatic infectivity + update_infection( + variables$state, + 'A', + variables$infectivity, + parameters$ca, + variables$progression_rates, + 1/parameters$da, + to_infect_asym + ) + } } } diff --git a/R/parameters.R b/R/parameters.R index 6da0be95..6fe148eb 100644 --- a/R/parameters.R +++ b/R/parameters.R @@ -1,13 +1,24 @@ #' @title Get model parameters #' @description #' get_parameters creates a named list of parameters for use in the model. These -#' parameters are passed to process functions. These parameters are explained in +#' parameters are passed to process functions. +#' +#' The default parameters, which are for Plasmodium falciparum, are explained in #' "The US President's Malaria Initiative, Plasmodium falciparum transmission #' and mortality: A modelling study." #' +#' Plasmodium vivax specific parameters are explained in +#' "Mathematical modelling of the impact of expanding levels of malaria control +#' interventions on Plasmodium vivax." by White, Michael T., et al. +#' #' @param overrides a named list of parameter values to use instead of defaults +#' @param parasite Plasmodium parasite species ("falciparum" or "vivax"); default = "falciparum" +#' #' The parameters are defined below. #' +#' parasite parameter +#' * parasite - parasite species (falciparum or vivax); default = "falciparum" +#' #' initial state proportions: #' #' * s_proportion - the proportion of `human_population` that begin as susceptible; default = 0.420433246 @@ -24,7 +35,14 @@ #' * dd - the delay for humans to move from state D to A; default = 5 #' * dt - the delay for humans to move from state Tr to S; default = 5 #' * da - the delay for humans to move from state A to U; default = 195 -#' * du - the delay for humans to move from state U to S; default = 110 +#' * du - the delay for humans to move from state U to S (p.f only); default = 110 +#' +#' duration of pcr detectable infection: du (p.v only): +#' +#' * dpcr_max - Maximum duration of subpatent infection: default = 53.69 +#' * dpcr_min - Minimum duration of subpatent infection: default = 10 +#' * kpcr - Shape parameter: default = 4.021 +#' * apcr50 - Scale parameter: default = 9.8 #' #' human demography parameters: #' @@ -35,33 +53,37 @@ #' #' initial immunity values: #' -#' * init_icm - the immunity from clinical disease at birth; default = 0 -#' * init_ivm - the immunity from severe disease at birth; default = 0 -#' * init_ib - the initial pre-erythrocitic immunity; default = 0 +#' * init_ib - the initial pre-erythrocitic immunity (p.f only); default = 0 +#' * init_iaa - the initial acquired anti-parasite immunity (p.v only): default = 0 +#' * init_iam - the initial anti-parasite immunity at birth (p.v only); default = 0 #' * init_ica - the initial acquired immunity from clinical disease; default = 0 -#' * init_iva - the initial acquired immunity from severe disease; default = 0 -#' * init_id - the initial acquired immunity to detectability; default = 0 +#' * init_icm - the initial clinical immunity at birth; default = 0 +#' * init_iva - the initial acquired immunity from severe disease (p.f only); default = 0 +#' * init_ivm - the initial severe immunity from severe disease at birth (p.f only); default = 0 +#' * init_id - the initial acquired immunity to lm detectability (p.f only); default = 0 #' #' immunity decay rates: #' -#' * rm - decay rate for maternal immunity to clinical disease; default = 67.6952 -#' * rvm - decay rate for maternal immunity to severe disease; default = 76.8365 -#' * rb - decay rate for acquired pre-erythrocytic immunity; default = 3650 +#' * rb - decay rate for acquired pre-erythrocytic immunity (p.f only); default = 3650 +#' * ra - decay rate for acquired anti-parasite immunity (p.v only); default = 3650 #' * rc - decay rate for acquired immunity to clinical disease; default = 10950 -#' * rva - decay rate for acquired immunity to severe disease; default = 10950 -#' * rid - decay rate for acquired immunity to detectability; default = 3650 +#' * rva - decay rate for acquired immunity to severe disease (p.f only); default = 10950 +#' * rm - decay rate for maternal immunity to clinical disease (or p.v: maternal clinical and anti-parasite immunities); default = 67.6952 +#' * rvm - decay rate for maternal immunity to severe disease (p.f only); default = 76.8365 +#' * rid - decay rate for acquired immunity to lm-detectability (p.f only); default = 3650 #' #' immunity boost grace periods: #' -#' * ub - period in which pre-erythrocytic immunity cannot be boosted; default = 7.2 +#' * ub - period in which pre-erythrocytic immunity cannot be boosted (p.f only); default = 7.2 +#' * ua - period in which anti-parasite immunity cannot be boosted (p.v only); default = 44.09 #' * uc - period in which clinical immunity cannot be boosted; default = 6.06 -#' * uv - period in which severe immunity cannot be boosted; default = 11.4321 -#' * ud - period in which immunity to detectability cannot be boosted; default = 9.44512 +#' * uv - period in which severe immunity cannot be boosted (p.f only); default = 11.4321 +#' * ud - period in which immunity to detectability cannot be boosted (p.f only); default = 9.44512 #' #' maternal immunity parameters: #' -#' * pcm - new-born clinical immunity relative to mother's; default = 0.774368 -#' * pvm - new-born severe immunity relative to mother's; default = 0.195768 +#' * pcm - new-born clinical immunity (or p.v: clinical and anti-parasite immunities) relative to mother's; default = 0.774368 +#' * pvm - new-born severe immunity relative to mother's (p.f only); default = 0.195768 #' #' unique biting rate: #' @@ -71,14 +93,17 @@ #' * n_heterogeneity_groups - number discretised groups for heterogeneity, used #' for sampling mothers; default = 5 #' -#' probability of pre-erythrocytic infection: +#' probability of pre-erythrocytic infection (p.f only): #' #' * b0 - maximum probability due to no immunity; default = 0.59 #' * b1 - maximum reduction due to immunity; default = 0.5 #' * ib0 - scale parameter; default = 43.9 #' * kb - shape parameter; default = 2.16 +#' +#' probability of pre-erythrocytic infection (p.v only): +#' * b - probability of pre-erythrocytic infection: default = 0.25 #' -#' probability of detection by light-microscopy when asymptomatic: +#' probability of detection by light-microscopy when asymptomatic (p.f only): #' #' * fd0 - time-scale at which immunity changes with age; default = 0.007055 #' * ad - scale parameter relating age to immunity; default = 7993.5 @@ -87,6 +112,13 @@ #' * id0 - scale parameter; default = 1.577533 #' * kd - shape parameter; default = 0.476614 #' +#' probability of patent infection due to anti-parasite immunity (p.v only): +#' +#' * philm_max - maximum probability due to no immunity; default = 0.9329 +#' * philm_min - maximum reduction due to immunity; default = 0.0131 +#' * alm50 - scale parameter; default = 17.3 +#' * klm - shape parameter; default = 3.202 +#' #' probability of clinical infection: #' #' * phi0 - maximum probability due to no immunity; default = 0.792 @@ -94,7 +126,7 @@ #' * ic0 - scale parameter; default = 18.02366 #' * kc - shape parameter; default = 2.36949 #' -#' probability of severe infection: +#' probability of severe infection (p.f only): #' #' * theta0 - maximum probability due to no immunity; default = 0.0749886 #' * theta1 - maximum reduction due to immunity; default = 0.0001191 @@ -107,6 +139,7 @@ #' infectivity towards mosquitoes: #' #' * cd - infectivity of clinically diseased humans towards mosquitoes; default = 0.068 +#' * ca - infectivity of asymptomatic humans towards mosquitoes (p.v only); default = 0.1 #' * gamma1 - parameter for infectivity of asymptomatic humans; default = 1.82425 #' * cu - infectivity of sub-patent infection; default = 0.0062 #' * ct - infectivity of treated infection; default = 0.021896 @@ -156,6 +189,13 @@ #' * delay_gam - lag from parasites to infectious gametocytes; default = 12.5 #' * dem - extrinsic incubation period in mosquito population model; default = 10 #' +#' hypnozoite parameters (p.v only): +#' +#' * f - hypnozoite relapse rate; default = 0.02439024 +#' * gammal - hypnozoite batch clearance rate; default = 0.002610966 +#' * init_hyp - initial hypnozoite batch number; default = 0 +#' * kmax - maximum number of hypnozoite batches for use in the equilibrium solution; default = 10 +#' #' treatment parameters: #' please set treatment parameters with the convenience functions #' \code{\link{set_drugs}} and \code{\link{set_clinical_treatment}} @@ -166,6 +206,9 @@ #' model prophylaxis for each drug; default = turned off #' * drug_prophylaxis_scale - a vector of scale parameters for weibull curves to #' model prophylaxis for each drug; default = turned off +#' * drug_hypnozoite_efficacy - a vector of efficacies targeting hypnozoites; default = turned off +#' * drug_hypnozoite_prophylaxis_shape - a vector of shape parameters for weibull curves to model prophylaxis against hypnozoite batch formation (days); default = turned off +#' * drug_hypnozoite_prophylaxis_scale - a vector of scale parameters for weibull curves to model prophylaxis against hypnozoite batch formation (days); default = turned off #' * clinical_treatment_drugs - a vector of drugs that are available for #' clinically diseased (these values refer to the index in drug_* parameters); default = NULL, NULL, NULL #' * clinical_treatment_coverage - a vector of coverage values for each drug; default = NULL, NULL, NULL @@ -243,14 +286,37 @@ #' * prevalence_rendering_min_ages - the minimum ages for clinical prevalence #' outputs; default = 730 #' * prevalence_rendering_max_ages - the corresponding max ages; default = 3650 +#' * n_with_hypnozoites_rendering_min_ages - the minimum ages for number with hypnozoites outputs (p.v only); default = numeric(0) +#' * n_with_hypnozoites_rendering_max_ages - the corresponding max ages; default = numeric(0) #' +#' Age structured mean immunity (/hyponozoite) rendering: +#' +#' * ib_rendering_min_ages - the minimum ages for blood immunity outputs (p.f only); default = numeric(0) +#' * ib_rendering_max_ages - the corresponding max ages; default = numeric(0) +#' * id_rendering_min_ages - the minimum ages for acquired detectability immunity (p.f); default = numeric(0) +#' * id_rendering_max_ages - the corresponding max ages; default = numeric(0) +#' * iaa_rendering_min_ages - the minimum ages for antiparasite immunity (p.v only); default = numeric(0) +#' * iam_rendering_max_ages - the corresponding max ages; default = numeric(0) +#' * ica_rendering_min_ages - the minimum ages for acquired clinical immunity outputs; default = numeric(0) +#' * ica_rendering_max_ages - the corresponding max ages; default = numeric(0) +#' * iva_rendering_min_ages - the minimum ages for acquired severe immunity outputs (p.f only); default = numeric(0) +#' * iva_rendering_max_ages - the corresponding max ages; default = numeric(0) +#' * idm_rendering_min_ages - the minimum ages for maternal antiparasite immunity outputs (p.v only); default = numeric(0) +#' * idm_rendering_max_ages - the corresponding max ages; default = numeric(0) +#' * icm_rendering_min_ages - the minimum ages for maternal clinical immunity outputs; default = numeric(0) +#' * icm_rendering_max_ages - the corresponding max ages; default = numeric(0) +#' * ivm_rendering_min_ages - the minimum ages for maternal severe immunity outputs (p.f only); default = numeric(0) +#' * ivm_rendering_max_ages - the corresponding max ages; default = numeric(0) +#' * hypnozoites_rendering_min_ages - the minimum ages average hypnozoite batches outputs (p.v only); default = numeric(0) +#' * hypnozoites_rendering_max_ages - the corresponding max ages; default = numeric(0) +#' #' mixing: #' #' * rdt_intercept - the y intercept for the log logit relationship betweeen rdt #' and PCR prevalence; default = -0.968 #' * rdt_coeff - the coefficient for the log logit relationship betweeen rdt #' and PCR prevalence; default = 1.186 -#' +#' #' miscellaneous: #' #' * mosquito_limit - the maximum number of mosquitoes to allow for in the @@ -266,203 +332,180 @@ #' rates; default = TRUE #' #' @export -get_parameters <- function(overrides = list()) { - parameters <- list( - # initial state proportions - s_proportion = 0.420433246, - d_proportion = 0.007215064, - a_proportion = 0.439323667, - u_proportion = 0.133028023, - t_proportion = 0, - # human fixed state transitions - dd = 5, - dt = 5, - da = 195, - du = 110, - # human demography parameters - human_population = 100, - average_age = 7665, - custom_demography = FALSE, +get_parameters <- function(overrides = list(), parasite = "falciparum") { + + if(!parasite %in% c("falciparum","vivax")){stop("parasite must be 'falciparum' or 'vivax'")} + + parameters <- c( + # human fixed state transitions # initial immunities - init_ica = 0, - init_iva = 0, - init_icm = 0, - init_ivm = 0, - init_id = 0, - init_ib = 0, # immunity decay rates - rm = 67.6952, - rvm = 76.8365, - rb = 10 * 365, - rc = 30 * 365, - rva = 30 * 365, - rid = 10 * 365, # immunity boost grace periods - ub = 7.2, - uc = 6.06, - uv = 11.4321, - ud = 9.44512, # maternal immunity parameters - pcm = .774368, - pvm = .195768, - # unique biting rate - a0 = 8 * 365, - rho = .85, - sigma_squared = 1.67, - n_heterogeneity_groups = 5, - enable_heterogeneity = TRUE, - # blood immunity parameters - b0 = 0.59, - b1 = 0.5, - ib0 = 43.9, - kb = 2.16, - # asymptomatic immunity to lm detection parameters - fd0 = 0.007055, - ad = 21.9 * 365, - gammad= 4.8183, - d1 = 0.160527, - id0 = 1.577533, - kd = .476614, - # clinical immunity parameters - phi0 = .792, - phi1 = .00074, - ic0 = 18.02366, - kc = 2.36949, - # severe disease immunity parameters - theta0 = .0749886, - theta1 = .0001191, - kv = 2.00048, - fv0 = 0.141195, - av = 2493.41, - gammav = 2.91282, - iv0 = 1.09629, + # probability of pre-erythrocytic infection/blood immunity + # probability of asymptomatic detection (p.f only) + # probability of patent infection (due to anti-parasite immunity, p.v only) + # probability of clinical infection + # probability of severe infection (p.f only) # infectivity towards mosquitos - cd = 0.068, - gamma1= 1.82425, - cu = 0.0062, - ct = 0.021896, - # mosquito fixed state transitions (inc. mortality) - del = 6.64, - dl = 3.72, - dpl = .643, - me = .0338, - ml = .0348, - mup = .249, - mum = .132, - # species-specific vector biology (default is An. gambiae s.s) - species = 'gamb', - species_proportions = 1, - blood_meal_rates = 1/3, - Q0 = .92, - foraging_time = .69, - beta = 21.2, - total_M = 1000, - init_foim= 0, - # carrying capacity parameters - g0 = 2, - g = c(.3, .6, .9), - h = c(.1, .4, .7), - gamma = 13.25, - model_seasonality = FALSE, - rainfall_floor = 0.001, - # flexible carrying capacity - carrying_capacity = FALSE, - carrying_capacity_timesteps = NULL, - carrying_capacity_values = NULL, - # parasite incubation delays - de = 12, - delay_gam = 12.5, - dem = 10, - # treatment parameters - drug_efficacy = numeric(0), - drug_rel_c = numeric(0), - drug_prophylaxis_shape = numeric(0), - drug_prophylaxis_scale = numeric(0), - clinical_treatment_drugs = list(), - clinical_treatment_timesteps = list(), - clinical_treatment_coverages = list(), - # MDA - mda = FALSE, - mda_drug = 0, - mda_timesteps = NULL, - mda_coverages = NULL, - mda_min_ages = -1, - mda_max_ages = -1, - smc = FALSE, - smc_drug = 0, - smc_timesteps = NULL, - smc_coverages = NULL, - smc_min_ages = -1, - smc_max_ages = -1, - # PMC - pmc = FALSE, - pmc_drug = 0, - pmc_timesteps = NULL, - pmc_coverages = NULL, - pcs_ages = -1, - # bed nets - bednets = FALSE, - phi_bednets = .85, - k0 = .699, - # indoor spraying - spraying = FALSE, - phi_indoors = .90, - # pev - pev = FALSE, - pev_doses = c(0, 1.5 * 30, 3 * 30), - # tbv - tbv = FALSE, - tbv_mt = 35, - tbv_md = 46.7, - tbv_ma = 3.6, - tbv_mu = 0.8, - tbv_k = 0.9, - tbv_tau = 22, - tbv_rho = .7, - tbv_ds = 45, - tbv_dl = 591, - tbv_tra_mu = 12.63, - tbv_gamma1 = 2.5, - tbv_gamma2 = .06, - tbv_timesteps = NULL, - tbv_coverages = NULL, - tbv_ages = NULL, - # antimalarial resistance - antimalarial_resistance = FALSE, - antimalarial_resistance_drug = NULL, - antimalarial_resistance_timesteps = NULL, - artemisinin_resistance_proportion = NULL, - partner_drug_resistance_proportion = NULL, - slow_parasite_clearance_probability = NULL, - early_treatment_failure_probability = NULL, - late_clinical_failure_probability = NULL, - late_parasitological_failure_probability = NULL, - reinfection_during_prophylaxis_probability = NULL, - dt_slow_parasite_clearance = NULL, - # rendering - prevalence_rendering_min_ages = 2 * 365, - prevalence_rendering_max_ages = 10 * 365, - incidence_rendering_min_ages = numeric(0), - incidence_rendering_max_ages = numeric(0), - clinical_incidence_rendering_min_ages = numeric(0), - clinical_incidence_rendering_max_ages = numeric(0), - severe_prevalence_rendering_min_ages = numeric(0), - severe_prevalence_rendering_max_ages = numeric(0), - severe_incidence_rendering_min_ages = numeric(0), - severe_incidence_rendering_max_ages = numeric(0), - age_group_rendering_min_ages = numeric(0), - age_group_rendering_max_ages = numeric(0), - # mixing - rdt_intercept = -0.968, - rdt_coeff = 1.186, - # misc - mosquito_limit = 100 * 1000, - individual_mosquitoes = FALSE, - human_population_timesteps = 0, - r_tol = 1e-4, - a_tol = 1e-4, - ode_max_steps = 1e6, - progress_bar = FALSE + # parasite incubation periods + # hypnozoite parameters (p.v only) + malariasimulation::parasite_parameters[[parasite]], + list( + # parasite + parasite = parasite, + # initial state proportions + s_proportion = 0.420433246, + d_proportion = 0.007215064, + a_proportion = 0.439323667, + u_proportion = 0.133028023, + t_proportion = 0, + # human demography parameters + human_population = 100, + average_age = 7663, + custom_demography = FALSE, + # unique biting rate + a0 = 8 * 365, + rho = .85, + sigma_squared = 1.67, + n_heterogeneity_groups = 5, + enable_heterogeneity = TRUE, + # mosquito fixed state transitions (inc. mortality) + del = 6.64, + dl = 3.72, + dpl = .643, + me = .0338, + ml = .0348, + mup = .249, + mum = .132, + # species-specific vector biology (default is An. gambiae s.s) + species = 'gamb', + species_proportions = 1, + blood_meal_rates = 1/3, + Q0 = .92, + foraging_time = .69, + beta = 21.2, + total_M = 1000, + init_foim= 0, + # carrying capacity parameters + g0 = 2, + g = c(.3, .6, .9), + h = c(.1, .4, .7), + gamma = 13.25, + model_seasonality = FALSE, + rainfall_floor = 0.001, + # flexible carrying capacity + carrying_capacity = FALSE, + carrying_capacity_timesteps = NULL, + carrying_capacity_values = NULL, + # treatment parameters + drug_efficacy = numeric(0), + drug_rel_c = numeric(0), + drug_prophylaxis_shape = numeric(0), + drug_prophylaxis_scale = numeric(0), + clinical_treatment_drugs = list(), + clinical_treatment_timesteps = list(), + clinical_treatment_coverages = list(), + # MDA + mda = FALSE, + mda_drug = 0, + mda_timesteps = NULL, + mda_coverages = NULL, + mda_min_ages = -1, + mda_max_ages = -1, + smc = FALSE, + smc_drug = 0, + smc_timesteps = NULL, + smc_coverages = NULL, + smc_min_ages = -1, + smc_max_ages = -1, + # PMC + pmc = FALSE, + pmc_drug = 0, + pmc_timesteps = NULL, + pmc_coverages = NULL, + pcs_ages = -1, + # bed nets + bednets = FALSE, + phi_bednets = .85, + k0 = .699, + # indoor spraying + spraying = FALSE, + phi_indoors = .90, + # pev + pev = FALSE, + pev_doses = c(0, 1.5 * 30, 3 * 30), + # tbv + tbv = FALSE, + tbv_mt = 35, + tbv_md = 46.7, + tbv_ma = 3.6, + tbv_mu = 0.8, + tbv_k = 0.9, + tbv_tau = 22, + tbv_rho = .7, + tbv_ds = 45, + tbv_dl = 591, + tbv_tra_mu = 12.63, + tbv_gamma1 = 2.5, + tbv_gamma2 = .06, + tbv_timesteps = NULL, + tbv_coverages = NULL, + tbv_ages = NULL, + # antimalarial resistance + antimalarial_resistance = FALSE, + antimalarial_resistance_drug = NULL, + antimalarial_resistance_timesteps = NULL, + artemisinin_resistance_proportion = NULL, + partner_drug_resistance_proportion = NULL, + slow_parasite_clearance_probability = NULL, + early_treatment_failure_probability = NULL, + late_clinical_failure_probability = NULL, + late_parasitological_failure_probability = NULL, + reinfection_during_prophylaxis_probability = NULL, + dt_slow_parasite_clearance = NULL, + # rendering + age_group_rendering_min_ages = numeric(0), + age_group_rendering_max_ages = numeric(0), + incidence_rendering_min_ages = numeric(0), + incidence_rendering_max_ages = numeric(0), + clinical_incidence_rendering_min_ages = numeric(0), + clinical_incidence_rendering_max_ages = numeric(0), + severe_incidence_rendering_min_ages = numeric(0), + severe_incidence_rendering_max_ages = numeric(0), + prevalence_rendering_min_ages = 2 * 365, + prevalence_rendering_max_ages = 10 * 365, + n_with_hypnozoites_rendering_min_ages = numeric(0), + n_with_hypnozoites_rendering_max_ages = numeric(0), + # age structured average immunity (/hypnozoite) rendering + ib_rendering_min_ages = numeric(0), + ib_rendering_max_ages = numeric(0), + id_rendering_min_ages = numeric(0), + id_rendering_max_ages = numeric(0), + ica_rendering_min_ages = numeric(0), + ica_rendering_max_ages = numeric(0), + iva_rendering_min_ages = numeric(0), + iva_rendering_max_ages = numeric(0), + idm_rendering_min_ages = numeric(0), + idm_rendering_max_ages = numeric(0), + icm_rendering_min_ages = numeric(0), + icm_rendering_max_ages = numeric(0), + ivm_rendering_min_ages = numeric(0), + ivm_rendering_max_ages = numeric(0), + hypnozoites_rendering_min_ages = numeric(0), + hypnozoites_rendering_max_ages = numeric(0), + # mixing + rdt_intercept = -0.968, + rdt_coeff = 1.186, + # misc + mosquito_limit = 100 * 1000, + individual_mosquitoes = FALSE, + human_population_timesteps = 0, + r_tol = 1e-4, + a_tol = 1e-4, + ode_max_steps = 1e6, + progress_bar = FALSE + ) ) # Override parameters with any client specified ones @@ -572,6 +615,13 @@ parameterise_total_M <- function(parameters, total_M) { #' #' @export set_parameter_draw <- function(parameters, draw){ + + if(parameters$parasite == "falciparum"){ + parameter_draws <- parameter_draws_pf + } else if (parameters$parasite == "vivax"){ + parameter_draws <- parameter_draws_pv + } + if(draw > 1000 || draw < 1){ stop("draw must be an integer between 1 and 1000") } @@ -581,4 +631,3 @@ set_parameter_draw <- function(parameters, draw){ } return(parameters) } - diff --git a/R/variables.R b/R/variables.R index 66f0ce4f..cb3b1a17 100644 --- a/R/variables.R +++ b/R/variables.R @@ -182,11 +182,17 @@ create_variables <- function(parameters) { # Set the initial infectivity values for each individual infectivity_values[diseased] <- parameters$cd - infectivity_values[asymptomatic] <- asymptomatic_infectivity( - initial_age[asymptomatic], - id$get_values(asymptomatic), - parameters - ) + if(parameters$parasite == "falciparum"){ + # p.f has immunity-determined asymptomatic infectivity + infectivity_values[asymptomatic] <- asymptomatic_infectivity( + initial_age[asymptomatic], + id$get_values(asymptomatic), + parameters + ) + } else if (parameters$parasite == "vivax"){ + # p.v has constant asymptomatic infectivity + infectivity_values[asymptomatic] <- parameters$ca + } infectivity_values[subpatent] <- parameters$cu # Initialise the infectivity variable diff --git a/data-raw/parameter_draws.R b/data-raw/parameter_draws.R index 2935f3ab..f04fbe9e 100644 --- a/data-raw/parameter_draws.R +++ b/data-raw/parameter_draws.R @@ -1,15 +1,55 @@ -## code to prepare parameter draws +## code to prepare parameter draws: pf +pd_pf <- read.csv("data-raw/parameter_draws_pf.csv") -pd <- read.csv("data-raw/parameter_draws.csv") +# Split individual draws_pf into a list of named parameter lists +draws_pf <- 1:max(pd_pf$draw) +parameter_draws_pf <- list() +for(draw in draws_pf){ + pars <- as.list(pd_pf[pd_pf$draw == draw, "value"]) + names(pars) <- pd_pf[pd_pf$draw == draw, "parameter"] + parameter_draws_pf[[draw]] <- pars +} +names(parameter_draws_pf) <- draws_pf + +usethis::use_data(parameter_draws_pf, overwrite = TRUE) + +## code to prepare parameter draws: pv +## this dataset does not match the default parameters, but the code should still be functional. +pd_pv <- read.csv("data-raw/parameter_draws_pv.csv", header = T) |> + tibble::rownames_to_column(var = "draw") |> + dplyr::mutate(phi0 = phi_D_max, + phi1 = phi_D_min/phi_D_max) |> + dplyr::select(-c(loglike, phi_D_min, phi_D_max)) |> + tidyr::pivot_longer(cols = !draw, names_to = "parameter", values_to = "value") |> + dplyr::mutate(parameter = dplyr::case_when( + parameter == "u_par" ~ "ua", + parameter == "phi_LM_max" ~ "philm_max", + parameter == "phi_LM_min" ~ "philm_min", + parameter == "A_LM_50pc" ~ "alm50", + parameter == "K_LM" ~ "klm", + parameter == "u_clin" ~ "ud", + parameter == "phi0" ~ "phi0", + parameter == "phi1" ~ "phi1", + parameter == "A_D_50pc" ~ "ic0", + parameter == "K_D" ~ "kc", + parameter == "A_d_PCR_50pc" ~ "apcr50", + parameter == "K_d_PCR" ~ "kpcr", + parameter == "d_PCR_max" ~ "dpcr_max", + parameter == "d_LM" ~ "da", + parameter == "P_MI" ~ "pcm", + parameter == "d_MI" ~ "rm" + ), + draw = as.numeric(draw)) |> + as.data.frame() -# Split individual draws into a list of named parameter lists -draws <- 1:max(pd$draw) -parameter_draws <- list() -for(draw in draws){ - pars <- as.list(pd[pd$draw == draw, "value"]) - names(pars) <- pd[pd$draw == draw, "parameter"] - parameter_draws[[draw]] <- pars +# Split individual draws_pf into a list of named parameter lists +draws_pv <- 1:max(pd_pv$draw) +parameter_draws_pv <- list() +for(draw in draws_pv){ + pars <- as.list(pd_pv[pd_pv$draw == draw, "value"]) + names(pars) <- pd_pv[pd_pv$draw == draw, "parameter"] + parameter_draws_pv[[draw]] <- pars } -names(parameter_draws) <- draws +names(parameter_draws_pv) <- draws_pv -usethis::use_data(parameter_draws, overwrite = TRUE) +usethis::use_data(parameter_draws_pv, overwrite = TRUE) diff --git a/data-raw/parameter_draws.csv b/data-raw/parameter_draws_pf.csv similarity index 100% rename from data-raw/parameter_draws.csv rename to data-raw/parameter_draws_pf.csv diff --git a/data-raw/parameter_draws_pv.csv b/data-raw/parameter_draws_pv.csv new file mode 100644 index 00000000..a5d31b84 --- /dev/null +++ b/data-raw/parameter_draws_pv.csv @@ -0,0 +1,1001 @@ 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+43.2486,0.856398,0.00989994,17.6175,3.10447,4.2504,0.962212,0.0104528,26.5819,6.34998,15.6075,5.68067,36.1337,16.9848,0.334233,80.3378,-9551.45 +45.9157,0.990636,0.0136395,16.0353,3.21309,4.09181,0.962766,0.0171233,22.7876,4.90563,8.54088,4.86061,68.6112,17.7872,0.190042,65.6234,-9547.53 diff --git a/data-raw/parasite_parameters.R b/data-raw/parasite_parameters.R new file mode 100644 index 00000000..65b5c71b --- /dev/null +++ b/data-raw/parasite_parameters.R @@ -0,0 +1,9 @@ +## code to prepare parasite parameters +parasite_csv <- read.csv("data-raw/parasite_parameters.csv") +parasite_parameters <- lapply(unique(parasite_csv$parasite), function(x){ + parameters <- as.list(parasite_csv[parasite_csv$parasite==x,c("default")]) + names(parameters) <- parasite_csv[parasite_csv$parasite==x,c("parameter")] + return(parameters) +}) +names(parasite_parameters) <- unique(parasite_csv$parasite) +usethis::use_data(parasite_parameters, overwrite = TRUE) \ No newline at end of file diff --git a/data-raw/parasite_parameters.csv b/data-raw/parasite_parameters.csv new file mode 100644 index 00000000..f4142ca5 --- /dev/null +++ b/data-raw/parasite_parameters.csv @@ -0,0 +1,118 @@ +parasite,parameter,default,reference +falciparum,dd,5, +falciparum,dt,5, +falciparum,da,195, +falciparum,du,110, +falciparum,init_ib,0, +falciparum,init_ica,0, +falciparum,init_iva,0, +falciparum,init_icm,0, +falciparum,init_ivm,0, +falciparum,init_id,0, +falciparum,rb,3650, +falciparum,rc,10950, +falciparum,rva,10950, +falciparum,rid,3650, +falciparum,rm,67.6952, +falciparum,rvm,76.8365, +falciparum,ub,7.2, +falciparum,uc,6.06, +falciparum,uv,11.4321, +falciparum,ud,9.44512, +falciparum,pcm,0.774368, +falciparum,pvm,0.195768, +falciparum,b0,0.59, +falciparum,b1,0.5, +falciparum,ib0,43.9, +falciparum,kb,2.16, +falciparum,fd0,0.007055, +falciparum,ad,7993.5, +falciparum,gammad,4.8183, +falciparum,d1,0.160527, +falciparum,id0,1.577533, +falciparum,kd,0.476614, +falciparum,phi0,0.792, +falciparum,phi1,0.00074, +falciparum,ic0,18.02366, +falciparum,kc,2.36949, +falciparum,theta0,0.0749886, +falciparum,theta1,0.0001191, +falciparum,iv0,1.09629, +falciparum,kv,2.00048, +falciparum,fv0,0.141195, +falciparum,av,2493.41, +falciparum,gammav,2.91282, +falciparum,cd,0.068, +falciparum,gamma1,1.82425, +falciparum,cu,0.0062, +falciparum,ct,0.021896, +falciparum,de,12, +falciparum,delay_gam,12.5, +falciparum,dem,10, +vivax,dd,5, White (2018); doi: 10.1038/s41467-018-05860-8 +vivax,dt,1, Pukrittayakamee (2008); Am J Trop Med Hyg +vivax,da,16.942, White (2018); doi: 10.1038/s41467-018-05860-8 +vivax,dpcr_max,53.69, White (2018); doi: 10.1038/s41467-018-05860-8 +vivax,dpcr_min,10, White (2018); doi: 10.1038/s41467-018-05860-8 +vivax,kpcr,4.021, White (2018); doi: 10.1038/s41467-018-05860-8 +vivax,apcr50,9.8, White (2018); doi: 10.1038/s41467-018-05860-8 +vivax,init_iaa,0, +vivax,init_iam,0, +vivax,init_ica,0, +vivax,init_icm,0, +vivax,ra,3650, White (2018); doi: 10.1038/s41467-018-05860-8 +vivax,rc,10950, White (2018); doi: 10.1038/s41467-018-05860-8 +vivax,rm,64.584, White (2018); doi: 10.1038/s41467-018-05860-8 +vivax,ua,44.09, White (2018); doi: 10.1038/s41467-018-05860-8 +vivax,uc,4.29, White (2018); doi: 10.1038/s41467-018-05860-8 +vivax,pcm,0.306, White (2018); doi: 10.1038/s41467-018-05860-8 +vivax,b,0.25, White (2018); doi: 10.1038/s41467-018-05860-8 +vivax,philm_min,0.0131, White (2018); doi: 10.1038/s41467-018-05860-8 +vivax,philm_max,0.9329, White (2018); doi: 10.1038/s41467-018-05860-8 +vivax,klm,3.202, White (2018); doi: 10.1038/s41467-018-05860-8 +vivax,alm50,17.30, White (2018); doi: 10.1038/s41467-018-05860-8 +vivax,phi0,4.2857, White (2018); doi: 10.1038/s41467-018-05860-8; phi0 is equivalent to phi_D_max (4.2857) +vivax,phi1,0.2186, White (2018); doi: 10.1038/s41467-018-05860-8; phi1 is equivalent to phi_D_min/phi_D_max (0.9368/4.2857) +vivax,ic0,23.788, White (2018); doi: 10.1038/s41467-018-05860-8 +vivax,kc,5.41, White (2018); doi: 10.1038/s41467-018-05860-8 +vivax,cd,0.8, Kiattibutr (2017); doi: 10.1016/j.ijpara.2016.10.006 +vivax,ca,0.1, Kiattibutr (2017); doi: 10.1016/j.ijpara.2016.10.006 +vivax,cu,0.035, Kiattibutr (2017); doi: 10.1016/j.ijpara.2016.10.006 +vivax,ct,0.4, Kiattibutr (2017); doi: 10.1016/j.ijpara.2016.10.006 +vivax,de,10, Herrera (2011); DOI: doi: 10.4269/ajtmh.2011.09-0498 +vivax,delay_gam,0, White (2018); doi: 10.1038/s41467-018-05860-8 +vivax,dem,8.4, Gething (2011); doi: 10.1186/1756-3305-4-92 +vivax,f,0.02439024, White (2018); doi: 10.1186/s12936-018-2318-1 +vivax,gammal,0.002610966, White (2018): doi: 10.1186/s12936-018-2318-1 +vivax,init_hyp,0, +vivax,kmax,10, White (2018); doi: 10.1038/s41467-018-05860-8 +vivax,du,110,to_be_removed +vivax,init_iva,0,to_be_removed +vivax,init_ivm,0,to_be_removed +vivax,init_ib,0,to_be_removed +vivax,init_id,0,to_be_removed +vivax,ub,7.2,to_be_removed +vivax,uv,11.4321,to_be_removed +vivax,ud,9.44512,to_be_removed +vivax,pvm,0.195768,to_be_removed +vivax,rvm,76.8365,to_be_removed +vivax,rb,3650,to_be_removed +vivax,rva,10950,to_be_removed +vivax,rid,3650,to_be_removed +vivax,b0,0.59,to_be_removed +vivax,b1,0.5,to_be_removed +vivax,ib0,43.9,to_be_removed +vivax,kb,2.16,to_be_removed +vivax,theta0,0.0749886,to_be_removed +vivax,theta1,0.0001191,to_be_removed +vivax,iv0,1.09629,to_be_removed +vivax,kv,2.00048,to_be_removed +vivax,fv0,0.141195,to_be_removed +vivax,av,2493.41,to_be_removed +vivax,gammav,2.91282,to_be_removed +vivax,fd0,0.007055,to_be_removed +vivax,ad,7993.5,to_be_removed +vivax,gammad,4.8183,to_be_removed +vivax,d1,0.160527,to_be_removed +vivax,id0,1.577533,to_be_removed +vivax,kd,0.476614,to_be_removed diff --git a/data/parameter_draws.rda b/data/parameter_draws.rda deleted file mode 100644 index a4f1585fea3baf0c1059ed8b70141b8bd9609ffc..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 183633 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zNC%VfBSSx~sL-@71?AjiorH)O9gvxffWxwcWb8X988E~n4C9VK?8AnVie#lCQxgnn z%G5yq6hfA2s3q#t$lsC{m%fq zE`sc6(#L*O8G}8s4hKrblKKAI?C`Nu0S_3O;WrNvRS<;7Zc)&FaIa^3koTh{txCtCcZ^g(WpK zHT$j2oxaATo*#gBD?om`fTdVV}SV zMJ!f8f{I5us;UhON4kw7%xXqG?p6=>UNw!9 zMvr@vkdo|&iYSqol|)VvBktYV5k(H*U4$;#oZrAPTYt zQNziok*OW9v;{kIVJK9zk)pKwWd=qf_-WkH=^t1%H$Jg?Vh(@b)i)Pq~&y?{hN)=JihFvfbGD_y-2H;+q$?fZii>5z-^G%rpG z`vrdX%lM&G?i^Pwj4@BK(Lz_%#wZ>3)#eT + %\VignetteIndexEntry{P. vivax model} + %\VignetteEngine{knitr::rmarkdown} + %\VignetteEncoding{UTF-8} +--- + +```{r, include = FALSE} +knitr::opts_chunk$set( + collapse = TRUE, + comment = "#>", + dpi=300, + fig.width=7 +) +``` + +```{r, output.lines=6} +# Load the requisite packages: +library(malariasimulation) +# Set colour palette: +cols <- c("#E69F00", "#56B4E9", "#009E73", "#F0E442", "#0072B2", "#D55E00", "#CC79A7") +``` + +This vignette describes the unique features of the *P. vivax* model. + +## Using the *P. vivax* model + +To select the *P. vivax* model, use the `parasite` argument in the `get_parameters()` function: + +```{r, output.lines=6} +p <- get_parameters(parasite = "vivax") +``` + +Then we can run the simulation as normal: + +```{r, output.lines=6} +simulation <- run_simulation(timesteps = 100, parameters = p) +``` + +## Model details + +### Parameters + +Our default *P. vivax* parameters are sourced from a version of the analysis in White et al. 2018 (doi: 10.1038/s41467-018-05860-8), where model parameters were fitted to data from Papua New Guinea. The chosen parameter set fixes `b = 0.25` and `sigma_squared = 1.67` (for consistency with the *P. falciparum* model). The default parameters for both parasite species can be found in `data/raw/parasite_parameters.csv`, while parameters common to both models are given in `R/parameters.R` under `get_parameters()`. + +Values for the model fitting posterior distribution can be selected using the `set_parameter_draw()` function as found in the [Parameter Variation](https://mrc-ide.github.io/malariasimulation/articles/ParameterVariation.html) vignette. + +### Structure + +The *P. falciparum* model has five human disease compartments: susceptible (S), clinical disease (D), asymptomatic infection (A), sub-patent infection (U), and treated (Tr). Asymptomatic infections may or may not be detectable by light-microscopy. + +The *P. vivax* model follows a similar structure to the *P. falciparum* model, and also has five human disease compartments. However, the human disease states modeled explicitly focus on parasite density and detectability, such that we have: susceptible (S), clinical disease (D), **light-microscopy detectable infection (A)**, **PCR detectable infection (U)**, and treated (Tr). + +### Infectivity of LM-detectable infections + +While the *P. falciparum* model calculates the onward infectivity of asymptomatic infections (`ca`) using the age and detectability immunity of each individual, the *P. vivax* model uses a constant infectivity for LM-detectable infections (`ca = 0.1`). + +### Key Model References + +White, M. T., Walker, P., Karl, S., Hetzel, M. W., Freeman, T., Waltmann, A., Laman, M., Robinson, L. J., Ghani, A., & Mueller, I. (2018). Mathematical modelling of the impact of expanding levels of malaria control interventions on Plasmodium vivax. Nature Communications, 9(1), 1–10.