run_full_distrib_imports: run_full_distrib_imports

In HopkinsIDD/covidImportation: Estimating the Number of Imported COVID-19 Cases

Description

Sum importation counts to airport attribution clusters Airport clusters are generated using 'do_airport_attribution' for aiports in close proximity to each other e.g. ORD/MDY, DCA/IAD, SFO/OAK

Usage

run_full_distrib_imports(
  states_of_interest = c("CA", "NV", "WA", "OR", "AZ"),
  regioncode = "west-coast-AZ-NV",
  yr = 2010,
  travelers_threshold = 10000,
  airport_cluster_threshold = 80,
  mean_travel_file = file.path("data", "travel_mean.csv"),
  shapefile_path = NULL,
  model_output_dir = file.path("model_output", "importation"),
  local_dir = "data",
  plot = FALSE,
  cores = 5,
  n_sim = 10
)

Arguments

states_of_interest	States for which to get county populations
regioncode	Region/project name
yr	Year of county population data
travelers_threshold	Minimum monthly average travel volume to be included
airport_cluster_threshold	Distance by which airports can be separated to be in the same cluster, in km; Haversine distance.
mean_travel_file	Filename of monthly mean travelers into each airport in the region
local_dir	local data directory
imports_sim_file	file name root for each importation simulation.

Value

A data.frame of clustered airports, dates, and nmber of importations

HopkinsIDD/covidImportation documentation built on Sept. 14, 2020, 2:43 p.m.