Plot central impact estimates by cohort and year

Produces faceted plots of central impact estimates for priority countries, stratified either by birth cohort or by year of vaccination. Impact metrics include cases, deaths, DALYs, and YLLs.

Usage

plot_impact(
  data,
  country = PINE,
  burden_type = c("cases", "deaths", "dalys", "yll"),
  view = c("cohort", "year"),
  title = NULL
)

Arguments

data

A tibble containing impact estimates.

country

The country names as a character vector. Defaults to PINE countries.

burden_type

Burden metric used to evaluate impact; may be one of: "cases", "deaths", "dalys", "yll".

view

A string for the way impact is assigned, either by birth cohort ("cohort") or by year of vaccination ("year").

title

Title of the plot to be rendered. Defaults to NULL.

Value

ggplot object showing central impact estimates

Examples

impact_data <- eg_impact_2

plot_impact(
  data = impact_data,
  "A",
  burden_type = "cases",
  title = "Cases averted",
  view = "year"
)
#> `geom_line()`: Each group consists of only one observation.
#> ℹ Do you need to adjust the group aesthetic?
#> `geom_line()`: Each group consists of only one observation.
#> ℹ Do you need to adjust the group aesthetic?