scenario_sim: Run a specified number of simulations with identical...

In covid19risk/impact-sim: Feasibility of controlling 2019-nCoV outbreaks by isolation of cases and contacts

Description

Run a specified number of simulations with identical parameters

Usage

scenario_sim(
  n.sim = NULL,
  prop.ascertain = NULL,
  cap_max_days = NULL,
  cap_cases = NULL,
  r0isolated = NULL,
  r0community = NULL,
  disp.iso = NULL,
  disp.com = NULL,
  k = NULL,
  delay_shape = NULL,
  delay_scale = NULL,
  num.initial.cases = NULL,
  prop.asym = NULL,
  quarantine = NULL
)

Arguments

n.sim	number of simulations to run
prop.ascertain	Probability that cases are ascertained by contact tracing
cap_max_days	Maximum number of days to run process for
cap_cases	Maximum number of cases to run process for
r0isolated	basic reproduction number for isolated cases
r0community	basic reproduction number for non-isolated cases
disp.iso	dispersion parameter for negative binomial distribution for isolated cases
disp.com	dispersion parameter for negative binomial distribution for non-isolated cases
delay_shape	shape of distribution for delay between symptom onset and isolation
delay_scale	scale of distribution for delay between symptom onset and isolation
num.initial.cases	Initial number of cases in each initial cluster
num.initial.clusters	Number of initial clusters

Author(s)

Joel Hellewell

Examples

## Not run: 
res <- scenario_sim(n.sim = 5,
num.initial.cases = 5,
cap_max_days = 365,
cap_cases = 2000,
r0isolated = 0,
r0community = 2.5,
disp.iso = 1,
disp.com = 0.16,
k = 0.7,
delay_shape = 2.5,
delay_scale = 5,
prop.asym = 0,
prop.ascertain = 0)
#' 
## End(Not run)

covid19risk/impact-sim documentation built on April 16, 2021, 2:15 a.m.