outbreak_step: Infections on one day in the network model
In lgs85/covidsch: School-based network model for COVID-19

Infections on one day in the network model

outbreak_step(
  day,
  case_data,
  net,
  asym.child,
  asym.adult,
  asym.adult.inf,
  sym.child.inf,
  asym.child.inf,
  incfn,
  delayfn,
  prop.ascertain,
  presymrate,
  R,
  quarantine,
  isolation,
  tracing,
  secondary,
  outside,
  sensitivity = "high",
  testing = "none",
  cap_max_tests = NULL
)

`day`	number of days from start of the inection - must be > 0
`case_data`	data.frame of cases in outbreak so far; initially generated by outbreak_setup
`net`	network from which to sample cases, in pairwise list format. Object `haslemere` is built into the package
`incfn`	function samples from incubation period; generated by dist_setup
`delayfn`	function samples from the onset-to-hospitalisation delay; generated by dist_setup
`prop.ascertain`	numeric proportion of infectious contacts ascertained by contact tracing (must be 0<=x<=1)
`presymrate`	the proportion of cases with pre-onset transmission (must be 0<=x<=1)
`R`	scaling factor for infection probability
`quarantine`	logical whether quarantine is in effect, if TRUE then traced contacts are isolated before symptom onset
`isolation`	logical whether isolation is in effect
`tracing`	logical whether tracing is in effect
`secondary`	logical whether secondary contact tracing is in effect
`sensitivity`	app sensitivity - "high" or "low"
`testing`	"realistic", "random" or "none"
`cap_max_tests`	integer - maximum number of tests
`prop.asym`	proportion of asymptomtaic cases (must be 0<=x<=1)