summarise_tb_burden: Summarise TB Burden - By Region, Globally and for Custom...
In getTBinR: Access and Summarise World Health Organization Tuberculosis Data

Description Usage Arguments Value Examples

Summarise TB burden metrics by region, globally, and for custom groupings. For variables with uncertainty represented by confidence intervals bootstrapping can be used (assuming a normal distribution) to include this in any estimated summary measures. Currently two statistics are supported; the mean (with 95\

summarise_tb_burden(
  df = NULL,
  dict = NULL,
  metric = "e_inc_num",
  metric_label = NULL,
  conf = c("_lo", "_hi"),
  years = NULL,
  samples = 1000,
  countries = NULL,
  compare_to_region = FALSE,
  compare_to_world = TRUE,
  custom_compare = NULL,
  compare_all_regions = TRUE,
  stat = "rate",
  denom = "e_pop_num",
  rate_scale = 1e+05,
  truncate_at_zero = TRUE,
  annual_change = FALSE,
  download_data = TRUE,
  save = TRUE,
  verbose = FALSE,
  ...
)

`df`	Dataframe of TB burden data, as sourced by `get_tb_burden`. If not specified then will source the WHO TB burden data, either locally if available or directly from the WHO (if `download_data = TRUE`).
`dict`	A tibble of the data dictionary. See `get_data_dict` for details. If not supplied the function will attempt to load a saved version of the dictionary. If this fails and `download_data = TRUE` then the dictionary will be downloaded.
`metric`	Character string specifying the metric to plot
`metric_label`	Character string specifying the metric label to use.
`conf`	Character vector specifying the name variations to use to specify the upper and lower confidence intervals. Defaults to `NULL` for which no confidence intervals are used. Used by `annual_change`.
`years`	Numeric vector of years. Defaults to `NULL` which includes all years in the data.
`samples`	Numeric, the number of samples to use to generate confidence intervals (only used when `conf` are present)
`countries`	A character string specifying the countries to target.
`compare_to_region`	Logical, defaults to `FALSE`. If `TRUE` all countries that share a region with those listed in `countries` will be plotted. Note that this will override settings for `facet`, unless it is set to "country".
`compare_to_world`	Logical, defaults to `TRUE`. Should a comparison be made to the metric of interests global value.
`custom_compare`	Logical, defaults to `NULL`. A named list of custom countries.
`compare_all_regions`	Logical, defaults to `TRUE`. Should all regions be compared.
`stat`	Character string, defaults to `"rate"`. The statistic to use to summarise the metric, currently `"mean"`, `"median"`, `"rate"` and `"prop"` are supported. Note "mean" and "median" do not recompute the supplied country levels values but can be used to summarise the distribution of region or global metrics. `"prop"` and`"rate"` compute the overall incidence rate for a given grouping (i.e the sum of the metric divided by the sum of the denominator).
`denom`	Character string defaulting to `e_pop_num` (country level population). If `stat` is set to `rate` or `prop` then this is the parameter to use as the denominator.
`rate_scale`	Numeric defaults to 100,000. The scaling to use for rates. If `stat` is to set to `prop` then this defaults to 1.
`truncate_at_zero`	Logical, defaults to `TRUE`. Should lower bounds be truncated at zero?
`annual_change`	Logical, defaults to `FALSE`. If `TRUE` then the percentage annual change is computed for the specified metric.
`download_data`	Logical, defaults to `TRUE`. If not found locally should the data be downloaded from the specified URL?
`save`	Logical, should the data be saved for reuse during the current R session. Defaults to `TRUE`. If `TRUE` then the data is saved to the temporary directory specified by `tempdir`.
`verbose`	Logical, defaults to `FALSE`. Should additional status and progress messages be displayed.
`...`	Additional arguments to pass to `get_tb_burden`.

A tibble containing summarised values (with 95% confidence intervals) for the metric of choice stratified by area and year.

## Get the most recent year of data
tb_burden <- get_tb_burden()
most_recent_year <- max(tb_burden$year)

## Get summary of the e_mdr_pct_rr_new cases
summarise_tb_burden(
  metric = "e_mdr_pct_rr_new",
  years = most_recent_year,
  stat = "mean",
  samples = 100,
  compare_all_regions = TRUE,
  compare_to_world = TRUE,
  verbose = TRUE
)
## Not run: 
## Get median (with 95% IQR) of the case fatality rate for regions and the world
## Boostrapping uncertainty in country measures
summarise_tb_burden(
  metric = "cfr",
  years = most_recent_year,
  samples = 100,
  stat = "median",
  compare_all_regions = TRUE,
  compare_to_world = TRUE,
  verbose = FALSE
)


## Get summary data for the UK, Europe and the world
## Bootstrapping CI's
summarise_tb_burden(
  metric = "e_inc_num",
  samples = 100,
  stat = "median",
  countries = "United Kingdom",
  compare_to_world = TRUE,
  compare_to_region = TRUE,
  verbose = FALSE
)

## Get an overview of incidence rates regionally and globally compared to the UK
summarise_tb_burden(
  metric = "e_inc_num",
  stat = "rate",
  countries = "United Kingdom",
  compare_to_world = TRUE,
  compare_to_region = TRUE,
  verbose = FALSE
)

## End(Not run)