diff --git a/caimira/apps/calculator/model_generator.py b/caimira/apps/calculator/model_generator.py
index 7d75c28a..2ed87071 100644
--- a/caimira/apps/calculator/model_generator.py
+++ b/caimira/apps/calculator/model_generator.py
@@ -414,7 +414,7 @@ def generate_precise_activity_expiration(self) -> typing.Tuple[typing.Any, ...]:
         return (self.precise_activity['physical_activity'], respiratory_dict)
     
     def generate_dynamic_occupancy(self, dynamic_occupancy: typing.List[typing.Dict[str, typing.Any]]):
-        ### Data format validation ###
+        ##### Data format validation #####
         for occupancy in dynamic_occupancy:
             # Check if each occupancy entry is a dictionary
             if not isinstance(occupancy, typing.Dict):
@@ -426,7 +426,7 @@ def generate_dynamic_occupancy(self, dynamic_occupancy: typing.List[typing.Dict[
                 raise TypeError(f'Unable to fetch "total_people" key. Got "{dict_keys[0]}".')
             else:
                 value = occupancy["total_people"]
-                # Check if the total_people value is a non-negative integer
+                # Check if the value is a non-negative integer
                 if not isinstance(value, int):
                     raise ValueError(f"Total number of people should be integer. Got {value}.")
                 elif not value >= 0:
@@ -454,7 +454,7 @@ def generate_dynamic_occupancy(self, dynamic_occupancy: typing.List[typing.Dict[
         unique_transition_times_sorted = np.array(sorted(set(transition_times)))
 
         if len(values) != len(unique_transition_times_sorted) - 1:
-            raise ValueError("Cannot compute dynamic occupancy with the inputs provided.")
+            raise ValueError("Cannot compute dynamic occupancy with the provided inputs.")
         
         population_occupancy: models.IntPiecewiseConstant = models.IntPiecewiseConstant(
             transition_times=tuple(unique_transition_times_sorted),
@@ -482,6 +482,12 @@ def infected_population(self) -> mc.InfectedPopulation:
             # If dynamic occupancy is defined, the generator will parse and validate the
             # respective input to a format readable by the model - IntPiecewiseConstant.
             infected_occupancy, infected_presence = self.generate_dynamic_occupancy(self.dynamic_infected_occupancy)
+            # If exposed population is static, defined from the "total_people" input, validate
+            # if every occurency of infected population is less or equal than it.
+            if isinstance(self.dynamic_exposed_occupancy, typing.List) and len(self.dynamic_exposed_occupancy) == 0:
+                for infected_people in infected_occupancy.values:
+                    if infected_people >= self.total_people:
+                        raise ValueError('Number of infected people cannot be greater or equal to the number of total people.')
         else:
             # The number of exposed occupants is the total number of occupants
             # minus the number of infected occupants.