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

Set up and run importation sims

setup_and_run_importations(
  dest = "UT",
  dest_type = c("state"),
  dest_country = "USA",
  dest_aggr_level = c("airport"),
  project_name = "Utah_import",
  version = "global",
  batch = "1st",
  first_date = ISOdate(2019, 12, 1),
  last_date = Sys.time(),
  update_case_data = TRUE,
  case_data_dir = "data/case_data",
  check_saved_data = TRUE,
  save_case_data = TRUE,
  get_travel = TRUE,
  n_sim = 100,
  cores = 4,
  n_top_dests = Inf,
  get_detection_time = FALSE,
  travel_dispersion = 3,
  allow_travel_variance = FALSE,
  print_progress = TRUE,
  param_list = list(incub_mean_log = log(5.89), incub_sd_log = log(1.74),
    inf_period_nohosp_mean = 15, inf_period_nohosp_sd = 5, inf_period_hosp_mean_log =
    1.23, inf_period_hosp_sd_log = 0.79, p_report_source = c(0.05, 0.25),
    shift_incid_days = -10, delta = 1)
)

`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)
`project_name`	character string
`version`	character string
`batch`	character string
`n_sim`	numeric, number of simulations
`cores`	numeric, number of cores to run in parallel
`n_top_dests`	Number of destinations to include, ranked by volume; default (Inf) is all.
`get_detection_time`	logical
`travel_dispersion`	numeric
`allow_travel_variance`	logical
`print_progress`	logical
`param_list`	list, with the following elements `incub_mean_log` numeric, the mean_log parameter for the lnorm distribution for the incubation period `incub_sd_log` numeric, the sd_log parameter for the lnorm distribution for the incubation period `inf_period_nohosp_mean` numeric, the mean parameter of a truncated normal distribution for the infectious period for non-hospitalized infections `inf_period_nohosp_sd` numeric, the sd parameter of a truncated normal distribution for the infectious period for non-hospitalized infections `inf_period_hosp_mean_log` numeric, the log-mean parameter of a log-normal distribution for the infectious period for time to hospitalization `inf_period_hosp_sd_log` numeric, the log-sd parameter of a log-normal distribution for the infectious period for time to hospitalization `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
`end_date`	Date, last import date