diff --git a/inst/WORDLIST b/inst/WORDLIST
index ec21b8db..438f4acd 100644
--- a/inst/WORDLIST
+++ b/inst/WORDLIST
@@ -30,6 +30,7 @@ Katriona
 Klinkenberg
 Korthals
 Krzywinski
+Kutupalong
 LMIC
 Leeuwen
 Leung
@@ -80,6 +81,7 @@ epiparameter
 epirecipes
 etc
 finalsize
+geq
 ggplot
 gh
 github
@@ -88,6 +90,7 @@ kylieainslie
 md
 odeint
 odin
+olds
 org
 packagename
 pkg
diff --git a/vignettes/diphtheria.Rmd b/vignettes/diphtheria.Rmd
index d0622d1a..775e09f7 100644
--- a/vignettes/diphtheria.Rmd
+++ b/vignettes/diphtheria.Rmd
@@ -39,7 +39,7 @@ _epidemics_ provides a simple SEIHR compartmental model based on @finger2019, in
 This model only tracks infections by demographic groups, and does not include demographic variation in contacts, as this is assumed to be less important in the camp setting.
 The model also does not allow interventions on social contacts, and does not include a 'vaccinated' compartment.
 
-However, the model does allow for seasonlity in model parameters and interventions on model parameters.
+However, the model does allow for seasonality in model parameters and interventions on model parameters.
 Similarly, the model allows for a proportion of the initial camp population to be considered vaccinated and thus immune from infection.
 
 ```{r setup}
@@ -51,7 +51,7 @@ library(ggplot2)
 ## Modelling an outbreak with pre-existing immunity
 
 We create a population object corresponding to the Kutupalong camp in Bangladesh, rounded to the nearest 100, as described in Additional file 1 provided with @finger2019.
-This population has three age groups, < 5 years, 5 -- 14 years, $\qeq$ 15 years.
+This population has three age groups, < 5 years, 5 -- 14 years, $\geq$ 15 years.
 We assume that only one individual is infectious in each age group.
 
 ```{r camp-population}