babsim.hospital (version 11.8.8)

getSyntheticData: getSyntheticData

Description

Generate synthetic data

Usage

getSyntheticData(
  StartDate = "2020-09-01",
  EndDate = "2020-11-30",
  lambda = 4,
  peakData = c(21, 50, 28, 40, 42, 50),
  amntDaysSickness = 20,
  hospitalizationRates = list(rBed = 0.1347, rIntensiveBed = 0.004,
    rIntensiveBedVentilation = 0.0171)
)

Arguments

StartDate

Start date. Default: '2020-09-01'

EndDate

Start date. Default: '2020-11-30'

lambda

Average number of daily infections. Default: 4

peakData

Vector to define peak events. Odd entries represent days, even entries the number of infections. Default: c(21,50, 28,40, 42,50), i.e., after 21 days 50 additional infections, after 28 days 40 additional infections, and after 42 days 50 addditional infections to the base infection rate per day, which is defined by lambda.

amntDaysSickness

Length (in days) of the interval that is used to determine the number of infected individuals that have to go to the hospital. Based on this interval, the number of sick individuals is determined. The number of sick individuals is multiplied by the hospitalization rate to determine the number of bed. Default: 20

hospitalizationRates

list of hospitalization rates, i.e., percentage of sick individuals that need a bed, or an intensiveBed, or an intensiveBedVentilation. Default: list(rBed = 0.1347, rIntensiveBed = 0.004, rIntensiveBedVentilation = 0.0171).

Value

data frame with the following entries: bed=bed, intensiveBed = intensiveBed, intensiveBedVentilation = intensiveBedVentilation, Day = Day, Infected=Infected, Sick = Sick)

bed

int: COVID-19 beds

intensiveBed

int: COVID-19 ICU beds

intensiveBedVentilation

int COVID-19 ICU beds with ventilation

Day

Date, format: '2020-05-01' '2020-05-02' '2020-05-03' '2020-05-04' ...

Infected

int: number of infected individuals (daily)

Sick

int: number of sick individuals (daily)

Examples

# NOT RUN {
dataSynth <- getSyntheticData()
# }