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Extract vaccine coverage information from IHME estimates

update_vacc_cov_data.Rd

Function to extract IHME vaccine coverage data to existing spatial files. Key spatial data can be found here.

Please keep in mind that these sources may change. Reach out to IHME directly for further information. Enter your email to gain access to the data folder. Inside the data folder go to Geospatial Vaccine Coverage > 04_Rasters. Download the following geotifs and place them into a single folder in your local machine:

  • bcg1_cov_mean_raked_2000_<current year>.tif

  • dpt1_cov_mean_raked_2000_<current year>.tif

  • dpt3_cov_mean_raked_2000_<current year>.tif

  • mcv1_cov_mean_raked_2000_<current year>.tif

  • polio3_cov_mean_raked_2000_<current year>.tif

NOTE: <current year> will change as the vaccine coverage data gets updated.

Usage

update_vacc_cov_data(
  tif_folder,
  ctry = load_clean_ctry_sp(),
  prov = load_clean_prov_sp(),
  dist = load_clean_dist_sp(),
  output_folder = "GID/PEB/SIR/Data/coverage",
  edav = TRUE,
  output_format = ".rds"
)

Arguments

tif_folder

str Absolute folder path to the folder containing all .TIFs of interest.

ctry

sf Output of load_clean_ctry_sp().

prov

sf Output of load_clean_prov_sp().

dist

sf Output of load_clean_dist_sp().

output_folder

str Absolute folder path location to save country, province and district coverage data. Outputs in RDS by default, but also supports .qs2 format.

edav

logical TRUE or FALSE depending on if final save location is in Azure. Defaults to TRUE.

output_format

str '.rds' or '.qs2'.

Value

NULL, invisibly.

Examples

if (FALSE) { # \dontrun{
ctry_sf <- load_clean_ctry_sp()
prov_sf <- load_clean_prov_sp()
dist_sf <- load_clean_dist_sp()
update_vacc_cov_data(
  "C:/Users/abc1/Desktop/tif_folder",
  ctry_sf, prov_sf, dist_sf,
  FALSE, "C:/Users/abc1/Desktop/tif_folder"
)
} # }