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Generate_Dataset

Generate_Dataset.Rd

Generate annual serological and/or case/death data

Usage

Generate_Dataset(
  input_data = list(),
  FOI_values = c(),
  R0_values = c(),
  sero_template = NULL,
  case_template = NULL,
  vaccine_efficacy = 1,
  p_severe_inf = 0.12,
  p_death_severe_inf = 0.39,
  p_rep_severe = 1,
  p_rep_death = 1,
  mode_start = 1,
  start_SEIRV = NULL,
  dt = 1,
  n_reps = 1,
  deterministic = FALSE,
  mode_parallel = FALSE,
  cluster = NULL,
  output_frame = FALSE
)

Arguments

input_data

List of population and vaccination data for multiple regions in standard format [TBA]

FOI_values

Vector of values of the force of infection due to spillover from sylvatic reservoir

R0_values

Vector of values of the basic reproduction number for human-human transmission

sero_template

Seroprevalence data template - data frame with region, year, minimum/maximum age, vc_factor [TBA] and number of samples

case_template

Annual reported case/death data template - data frame with region and year

vaccine_efficacy

Fractional vaccine efficacy

p_severe_inf

Probability of an infection being severe

p_death_severe_inf

Probability of a severe infection resulting in death

p_rep_severe

Probability of reporting of a severe but non-fatal infection

p_rep_death

Probability of reporting of a fatal infection

mode_start

Flag indicating how to set initial population immunity level in addition to vaccination
If mode_start=0, only vaccinated individuals
If mode_start=1, shift some non-vaccinated individuals into recovered to give herd immunity (uniform by age, R0 based only)
If mode_start=2, use SEIRV input in list from previous run(s)
If mode_start=3, shift some non-vaccinated individuals into recovered to give herd immunity (stratified by age)

start_SEIRV

SEIRV data from end of a previous run to use as input (list of datasets, one per region)

dt

Time increment in days to use in model (should be either 1.0, 2.5 or 5.0 days)

n_reps

number of stochastic repetitions

deterministic

TRUE/FALSE - set model to run in deterministic mode if TRUE

mode_parallel

TRUE/FALSE - set model to run in parallel using cluster if TRUE

cluster

Cluster of threads to use if mode_parallel=TRUE

output_frame

TRUE/FALSE - indicate whether to output a complete data frame of results in template format (if TRUE) or calculated values only (if FALSE) '

Details

This function is used to generate annual serological and/or case/death data based on templates; it is normally used by the single_posterior_calc() function.

[TBA - Explanation of breakdown of regions to model and how to set lengths of FOI_values and R0_values]