plot_connected_scatter: Plot Epidemic Control Trajectories

In USAID-OHA-SI/mindthegap: Mind the Gap

Plot Epidemic Control Trajectories

Description

Generates a connected scatterplot of trajectories for deaths and new infections for specified countries.

Usage

plot_connected_scatter(.data, sel_cntry, year_range = 2010:2023)

Arguments

.data	A data frame containing epidemiological data. It should include columns such as country, year, indicator, estimate, and others required for processing.
sel_cntry	A character vector of countries to include in the plot.
year_range	A numeric vector specifying the range of years to include in the analysis. Default is 2010:2023.

Details

This function serves as a wrapper, orchestrating the preparation, calculation, and visualization of the data. It processes the input data, calculates appropriate axis limits, constructs the epidemic control plot, and finally adds an annotation for epidemic control.

Value

A ggplot2 plot object showing the epidemic control trajectories with deaths on the x-axis and new infections on the y-axis.

Examples

 ## Not run: 
   df_unaids <- load_unaids(pepfar_only = FALSE)
   plot_connected_scatter(df_unaids)
   plot_connected_scatter(df_unaids, sel_cntry = "Lesotho")
   plot_connected_scatter(df_unaids, sel_cntry = c("South Africa", "Zambia", "Kenya", "Malawi"))

## End(Not run)

USAID-OHA-SI/mindthegap documentation built on Jan. 19, 2025, 3:16 a.m.