diff --git a/pyro/contrib/epidemiology/compartmental.py b/pyro/contrib/epidemiology/compartmental.py
index 50ef566fc4..8d5003ea02 100644
--- a/pyro/contrib/epidemiology/compartmental.py
+++ b/pyro/contrib/epidemiology/compartmental.py
@@ -182,10 +182,10 @@ def transition(self, params, state, t):
         Note that this method is called under multiple different
         interpretations, including batched and vectorized interpretations.
         During :meth:`generate` this is called to generate a single sample.
-        During :meth:`heuristic` this is called to generate a batch of sample
+        During :meth:`heuristic` this is called to generate a batch of samples
         for SMC.  During :meth:`fit` this is called both in vectorized form
-        (vectorizing over time) and insequential form (for a single time step);
-        both forms enumerate over discrete latent variables.  During
+        (vectorizing over time) and in sequential form (for a single time
+        step); both forms enumerate over discrete latent variables.  During
         :meth:`predict` this is called to forecast a batch of samples,
         conditioned on posterior samples for the time interval
         ``[0:duration]``.
diff --git a/pyro/contrib/epidemiology/models.py b/pyro/contrib/epidemiology/models.py
index 2672ad663e..e2b2b1fe68 100644
--- a/pyro/contrib/epidemiology/models.py
+++ b/pyro/contrib/epidemiology/models.py
@@ -566,7 +566,7 @@ class SparseSIRModel(CompartmentalModel):
 
     This model demonstrates how to implement a custom :meth:`compute_flows`
     method. A custom method is needed in this model because inhabitants of the
-    ``S`` compartment can transition to both the ``I`` and ``o`` compartments,
+    ``S`` compartment can transition to both the ``I`` and ``O`` compartments,
     allowing duplication.
 
     :param int population: Total ``population = S + I + R``.