simfn: COVID-19 ICU bed occupancy simulation

In nhs-bnssg-analytics/covid-simr: easy-to-use function for modelling the effect of different mitigating scenarios on projected capacity-dependent covid19 deaths

Description

COVID-19 ICU bed occupancy simulation

Usage

simfn(rep, dates, metric, value, los_median, los_95, cap, pfat, uncert)

Arguments

rep	(postive integer), number of repetitions in simulation.
dates	(vec, Date), dates in siulation.
metric	PLACEHOLDER
value	PLACEHOLDER
los_median	positive numeric, median length of stay (in days) for admitted covid19 pateints, to be estimated by user from data or other source
los_95	positive numeric, 0.95 quantile length of stay (in days) for admitted covid19 patients, to be estimated by user from data or other source
cap	positive integer, maximum number of patients who can be concurrently admitted to the hospital/unit
pfat	numeric in range 0 (no chance of death) to 1 (certain death), probability that a patient who arrives but is rejected/cannot be admitted (because there are no beds free) dies
uncert	log, does the simulation include uncertainty.

Value

Results of simulation.

nhs-bnssg-analytics/covid-simr documentation built on May 12, 2020, 4:55 p.m.