PPS: Create a PPS object
In BHAI: Estimate the Burden of Healthcare-Associated Infections

Description Usage Arguments Value See Also Examples

This function creates a PPS object.

PPS(num_hai_patients = NULL, num_survey_patients = NULL,
  length_of_stay = NULL, loi_pps = NULL, hospital_discharges = NULL,
  num_hai_patients_by_stratum = NULL,
  num_hai_patients_by_stratum_prior = NULL, mccabe_scores_distr = NULL,
  mccabe_by_stratum_prior = NULL, mccabe_life_exp = NULL,
  num_survey_patients_by_stratum = NULL, population = NULL,
  country = "")

`num_hai_patients`	Named numeric containing patients having healthcare-associated infections.
`num_survey_patients`	Number of patients in point prevalence survey.
`length_of_stay`	Length of stay of all patients in hospitals. This is need for the prevalence to incidence conversion with the Rhame-Sudderth formula.
`loi_pps`	A list containing length of infections from all patients in the PPS. The length of infection of all healthcare-associated infections. In PPS this is usually approximated as the time from infection onset until the date of the survey.
`hospital_discharges`	The number of hospital discharges.
`num_hai_patients_by_stratum`	A list containing for each infection the number of patients in each age and gender stratum.
`num_hai_patients_by_stratum_prior`	The prior weight (counts) for each infection, age and gender stratum. This is used for smooting the age and gender distribution when small numbers are observed.
`mccabe_scores_distr`	The observed McCabe scores (counts) for each infection, age and gender stratum from the PPS.
`mccabe_by_stratum_prior`	The prior weight (counts) for each infection, McCabe score, age and gender stratum. This is used for smooting the age and gender distribution when small numbers are observed.
`mccabe_life_exp`	Named list containing remaining life expectancies for each McCabe score (NONFATAL, ULTFATAL, RAPFATAL).
`num_survey_patients_by_stratum`	Number of survey patients stratified by infection, age and gender. If this parameter is provided the methodology described in Cassini et al. (2016) <doi:https://doi.org/10.1371/journal.pmed.1002150> is applied.
`population`	Population size.
`country`	Name of the country.

A PPS class object.

PPS

data(german_pps_2011_repr)
german_pps_repr = PPS(num_hai_patients = num_hai_patients,
    num_hai_patients_by_stratum = num_hai_patients_by_stratum,
    num_hai_patients_by_stratum_prior = num_hai_patients_by_stratum_prior,
    num_survey_patients = num_survey_patients,
    length_of_stay = length_of_stay,
    loi_pps = loi_pps,
    mccabe_scores_distr = mccabe_scores_distr,
    mccabe_life_exp = mccabe_life_exp,
    hospital_discharges = hospital_discharges,
    population = population,
    country="Germany (representative sample)")
german_pps_repr