Maps evaluating timeliness of samples against timeliness targets. — generate_timeliness

Generates a map at the provincial level summarizing the timeliness of samples across different timeliness targets. The figure is faceted by the type of timeliness target, with each facet containing the percentage of samples from each province that met the targets over the years.

Usage

generate_timeliness_maps(
  ctry.data,
  ctry.shape,
  prov.shape,
  start_date,
  end_date,
  mark_x = T,
  pt_size = 4,
  output_path = Sys.getenv("DR_FIGURE_PATH")
)

Arguments

ctry.data: list Large list containing polio data for a country. This is the output of extract_country_data() or init_dr().
ctry.shape: sf Country shapefile in long format.
prov.shape: sf Province shapefile in long format.
start_date: str Start date of analysis.
end_date: str End date of analysis.
mark_x: logical Mark where there are less than 5 AFP cases? Defaults to TRUE.
pt_size: numeric Size of the marks.
output_path: str Local path where to save the figure to.

Value

ggplot Faceted map of each province evaluated against timeliness targets across years.

Examples

if (FALSE) { # \dontrun{
ctry.data <- init_dr("algeria")
ctry.shape <- load_clean_ctry_sp(ctry_name = "ALGERIA", type = "long")
prov.shape <- load_clean_prov_sp(ctry_name = "ALGERIA", type = "long")
generate_timeliness_maps(ctry.data, ctry.shape, prov.shape, "2021-01-01", "2023-12-31")
} # }