multisim: Simulate multiple trajectories

In MESuRS-Lab/mwss: Stochastic simulations of infectious disease spread in healthcare systems structured as a networked metapopulation

Simulate multiple trajectories

Description

The function multisim run the model multiple times, save the results in a list of class 'mwss'. Results are trajectories simulated by SimInf package. Epidemiological and immunity states of each ward are save at each time steps. When run in shiny, a progress bar is also displayed during simulations.

Usage

multisim(model, nSim, ward_names)

Arguments

model	SimInf model generated by the function mwss
nSim	Number of simulations
ward_names	String vector with ward names/id in the same order than the one used in the function mwss to build the model

Value

List of data.table of class 'mwss'. Additional ISO, SA,ScreenP, ScreenH, TestSympP and TestSympH classes are added depending on the prevention, surveillance and control measures implemented in the model.

Examples

data("toydata")
list2env(toydata,envir=.GlobalEnv)
gdata <- build_gdata()
model <- mwss(ward_names, pop_size_P, pop_size_H, nVisits, LS, gdata, tSim = 30)
results <- multisim(model, 5, ward_names)

MESuRS-Lab/mwss documentation built on Sept. 12, 2023, 12:08 a.m.