#' Calculating Community Immunity
#'
#' Considering Proportion of the Vaccinated and Those Who Were Infected
#'
#' @param prop_infected a numeric representing the proportion of the population
#' with natural infection
#' @param prop_vaccinated a numeric representing the proportion of the
#' population that is vaccinated.
#' @examples {
#'
#' calculate_community_immunity(.3,.5)
#'
#' plot(seq(.4,.7,.1),
#' calculate_community_immunity(prop_infected = seq(.4,.7,.1),
#' prop_vaccinated = .5),
#' ylab = "Community Immunity",
#' xlab = "Proportion Infected",
#' main = "Community Immunity Given 50% Vaccinated",
#' adj =0)
#'
#' }
#' @source Lopman, B. A. et al. A framework for monitoring population immunity
#' to SARS-CoV-2. Annals of Epidemiology S1047279721002635 (2021)
#' \url{doi:10.1016/j.annepidem.2021.08.013}.
#'
#' @export
calculate_community_immunity <- function(prop_infected, prop_vaccinated){
prop_infected + (1 - prop_infected) * prop_vaccinated
}
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