setup_importations: Set up importation sims
In HopkinsIDD/covidImportation: Estimating the Number of Imported COVID-19 Cases

Set up importation sims

setup_importations(
  dest = "UT",
  dest_type = c("state"),
  dest_country = "USA",
  dest_aggr_level = c("airport"),
  first_date = ISOdate(2019, 12, 1),
  last_date = Sys.time(),
  output_dir = file.path("output", paste0(paste(dest, collapse = "+"), "_",
    as.Date(Sys.Date()))),
  save_case_data = TRUE,
  get_travel = TRUE,
  n_top_dests = Inf,
  travel_dispersion = 3,
  param_list = list(p_report_source = c(0.05, 0.25), shift_incid_days = -10, delta = 1),
  check_errors = TRUE
)

`dest`	character string, name of destination to simulate importations for
`dest_type`	character string, options: "airport", "city", "state", "country"
`dest_country`	optional character string, specify a higher level destination (i.e. dest_0="USA"), default NULL
`dest_aggr_level`	character string, level to which travel will be aggregated for destination. Includes "airport", "city", "state", "country", "metro" (only available for CA currently)
`first_date`	Date, first import date
`last_date`	Date, last import date
`output_dir`	where output files are saved
`save_case_data`	Whether to save the JHUCSSE raw data
`get_travel`	whether to load or pull travel data
`n_top_dests`	Number of destinations to include, ranked by volume; default (Inf) is all.
`travel_dispersion`	numeric
`param_list`	list, with the following elements `p_report_source` numeric vector of length 2, currently the probability of reporting by source with the first indicating Hubei reporting and second indicating everywhere else (UPDATE WITH THESE https://cmmid.github.io/topics/covid19/severity/global_cfr_estimates.html) `shift_incid_days` lag from infection to report `delta` days per time period
`check_errors`	logical