diff --git a/R/pev.R b/R/pev.R
index a268ab36..fa58c5a7 100644
--- a/R/pev.R
+++ b/R/pev.R
@@ -32,7 +32,7 @@ create_epi_pev_process <- function(
     if (parameters$pev_epi_min_wait == 0) {
       target <- to_vaccinate$to_vector()
     } else {
-      not_recently_vaccinated <- variables$vaccinated_timestep$get_index_of(
+      not_recently_vaccinated <- variables$pev_timestep$get_index_of(
         a = max(timestep - parameters$pev_epi_min_wait, 0),
         b = timestep
       )$not(TRUE)
diff --git a/R/pev_parameters.R b/R/pev_parameters.R
index eb440de0..e54967fb 100644
--- a/R/pev_parameters.R
+++ b/R/pev_parameters.R
@@ -65,7 +65,8 @@ rtss_booster_profile <- create_pev_profile(
 #' @param profile primary vaccine profile of type PEVProfile
 #' @param coverages a vector of coverages for the primary doses
 #' @param timesteps a vector of timesteps associated with coverages
-#' @param age for the target population, (in timesteps)
+#' @param age the age when an individual will receive the first dose of the
+#' vaccine (in timesteps)
 #' @param min_wait the minimum acceptable time since the last vaccination (in
 #' timesteps); When seasonal_boosters = TRUE, this represents the minimum time
 #' between an individual receiving the final dose and the first booster. When using
diff --git a/man/get_parameters.Rd b/man/get_parameters.Rd
index fb9d89df..7ada2861 100644
--- a/man/get_parameters.Rd
+++ b/man/get_parameters.Rd
@@ -183,7 +183,7 @@ clinically diseased (these values refer to the index in drug_* parameters); defa
 \item clinical_treatment_coverage - a vector of coverage values for each drug; default = NULL, NULL, NULL
 }
 
-PEV paramters:
+PEV parameters:
 please set vaccine strategies with the convenience functions in
 \code{pev_parameters.R:set_pev_epi}
 \code{pev_parameters.R:set_mass_pev}
diff --git a/man/set_pev_epi.Rd b/man/set_pev_epi.Rd
index 15826449..b728e923 100644
--- a/man/set_pev_epi.Rd
+++ b/man/set_pev_epi.Rd
@@ -26,7 +26,8 @@ set_pev_epi(
 
 \item{timesteps}{a vector of timesteps associated with coverages}
 
-\item{age}{for the target population, (in timesteps)}
+\item{age}{the age when an individual will receive the first dose of the
+vaccine (in timesteps)}
 
 \item{min_wait}{the minimum acceptable time since the last vaccination (in
 timesteps); When seasonal_boosters = TRUE, this represents the minimum time
diff --git a/tests/testthat/test-pev-epi.R b/tests/testthat/test-pev-epi.R
index 684e98dd..4eea8445 100644
--- a/tests/testthat/test-pev-epi.R
+++ b/tests/testthat/test-pev-epi.R
@@ -86,7 +86,7 @@ test_that('pev epi targets correct age and respects min_wait', {
   variables$birth <- individual::IntegerVariable$new(
     -c(18, 18, 2.9, 18, 18) * 365 + timestep
   )
-  variables$vaccinated_timestep <- mock_integer(
+  variables$pev_timestep <- mock_integer(
     c(50, -1, -1, 4*365, -1)
   )