model_params_trial: Parameters for the vaccination trial model

In mrc-ide/gonovax: Deterministic Compartmental Model of Gonorrhoea with Vaccination

Parameters for the vaccination trial model

Description

Parameters for the vaccination trial model

Usage

model_params_trial(
  gono_params_trial = NULL,
  demographic_params_trial = NULL,
  initial_params_trial = NULL,
  vax_params = NULL,
  p_v = 0,
  n_erlang = 1,
  N = 6e+05,
  n_diag_rec = 1,
  asymp_recorded = TRUE
)

Arguments

gono_params_trial	A dataframe of natural history parameters
demographic_params_trial	A dataframe of demographic parameters
initial_params_trial	A list of starting conditions
vax_params	A vector of vaccination params
p_v	A scalar indicating the percentage of the trial cohort that is vaccinated
n_erlang	scalar giving the number of transitions that need to be made through vaccine-protected strata until that protection has waned
N	integer to assign the total number of individuals in the trial (split equally across the two arms)
n_diag_rec	integer giving the number of each X, V(erlang), and W stratum, allowing tracking of diagnosis history. e.g for a n_diag_rec = 2 and erlang = 1, there will be X.I, X.II, V1.I, V1.II, W.I, W.II strata. Where '.I' corresponds to never-diagnosed individuals and '.II' is for individuals diagnosed at least once.
asymp_recorded	logical indicating if the trial screens for and records asymptomatic diagnosis. If FALSE, asymptomatic infected individuals undergoing treatment do not move diagnosis history stratum

Value

A list of inputs to the model many of which are fixed and represent data. These correspond largely to 'user()' calls within the odin code, though some are also used in processing just before the model is run.

mrc-ide/gonovax documentation built on Dec. 15, 2024, 11:02 a.m.