diff --git a/R/methods-epi_df.R b/R/methods-epi_df.R
index 84a75e46..7d99bd49 100644
--- a/R/methods-epi_df.R
+++ b/R/methods-epi_df.R
@@ -258,7 +258,7 @@ group_modify.epi_df <- function(.data, .f, ..., .keep = FALSE) {
 
 #' Complete epi_df
 #'
-#' A `tidyr::complete()` analogue for `epi_df`` objects. This function
+#' A `tidyr::complete()` analogue for `epi_df` objects. This function
 #' can be used, for example, to add rows for missing combinations
 #' of `geo_value` and `time_value`, filling other columns with `NA`s.
 #' See the examples for usage details.
diff --git a/man/complete.epi_df.Rd b/man/complete.epi_df.Rd
index 71dbcb38..7645a01f 100644
--- a/man/complete.epi_df.Rd
+++ b/man/complete.epi_df.Rd
@@ -16,7 +16,9 @@
 \item{explicit}{see \code{\link[tidyr:complete]{tidyr::complete}}}
 }
 \description{
-A \code{tidyr::complete()} analogue for \verb{epi_df`` objects. This function can be used, for example, to add rows for missing combinations of }geo_value\code{and}time_value\verb{, filling other columns with }NA`s.
+A \code{tidyr::complete()} analogue for \code{epi_df} objects. This function
+can be used, for example, to add rows for missing combinations
+of \code{geo_value} and \code{time_value}, filling other columns with \code{NA}s.
 See the examples for usage details.
 }
 \examples{
diff --git a/vignettes/epiprocess.Rmd b/vignettes/epiprocess.Rmd
index 613f9146..b9648e00 100644
--- a/vignettes/epiprocess.Rmd
+++ b/vignettes/epiprocess.Rmd
@@ -86,7 +86,7 @@ edf %>%
 ```
 
 We can compute the 7 day moving average of the confirmed daily cases for each
-geo_value by using the `epi_slide_mean()` function. For a more in-depth guide to
+`geo_value` by using the `epi_slide_mean()` function. For a more in-depth guide to
 sliding, see `vignette("epi_df")`.
 
 ```{r}
@@ -96,7 +96,7 @@ edf %>%
 ```
 
 We can compute the growth rate of the confirmed cumulative cases for each
-geo_value. For a more in-depth guide to growth rates, see `vignette("growth_rate")`.
+`geo_value`. For a more in-depth guide to growth rates, see `vignette("growth_rate")`.
 
 ```{r}
 edf %>%
@@ -104,7 +104,7 @@ edf %>%
   mutate(cases_growth = growth_rate(x = time_value, y = cases_cumulative, method = "rel_change", h = 7))
 ```
 
-Detect outliers in daily reported cases for each geo_value. For a more in-depth
+Detect outliers in daily reported cases for each `geo_value`. For a more in-depth
 guide to outlier detection, see `vignette("outliers")`.
 
 ```{r message=FALSE}
@@ -114,8 +114,8 @@ edf %>%
   ungroup()
 ```
 
-Add a column to the epi_df object with the daily deaths for each geo_value and
-compute the correlations between cases and deaths for each geo_value. For a more
+Add a column to the epi_df object with the daily deaths for each `geo_value` and
+compute the correlations between cases and deaths for each `geo_value`. For a more
 in-depth guide to correlations, see `vignette("correlation")`.
 
 ```{r}