diff --git a/caimira/apps/templates/base/calculator.report.html.j2 b/caimira/apps/templates/base/calculator.report.html.j2
index 894309c4..c0310cb2 100644
--- a/caimira/apps/templates/base/calculator.report.html.j2
+++ b/caimira/apps/templates/base/calculator.report.html.j2
@@ -56,11 +56,18 @@
 		<div class="tab-pane show active" id="results" role="tabpanel" aria-labelledby="results-tab" style="padding: 1%">
 
 			{% if form.short_range_option == "short_range_yes" %}
+				{# Probability of infection values #}
 				{% set scenario = alternative_scenarios.stats.values() | first %}
 				{% set long_range_prob_inf = scenario.probability_of_infection %}
 				{% set long_range_prob_probabilistic_exposure = scenario.prob_probabilistic_exposure if form.exposure_option == 'p_probabilistic_exposure' %}
+				{# Expected new case values #}
+				{% set long_range_expected_cases = scenario.expected_new_cases %}
+				{% set total_expected_new_cases = scenario.expected_new_cases + expected_new_cases %}
 			{% else %}
+				{# Probability of infection values #}
 				{% set long_range_prob_inf = prob_inf %}
+				{# Expected new case values #}
+				{% set total_expected_new_cases = expected_new_cases %}
 			{% endif %}
 
 			{% block report_results %}
@@ -97,6 +104,7 @@
 														</div>
 													{% endblock long_range_warning_animation %}
 												</div>
+												<h6><b>Expected new cases:</b> {{ long_range_expected_cases | float_format }}</h6>
 											</div>
 											<br>
 											{% if form.short_range_option == "short_range_yes" %}
@@ -118,13 +126,14 @@
 														</div>
 														{% endblock warning_animation %}
 													</div>
+													<h6><b>Expected new cases:</b> {{ expected_new_cases | float_format }}</h6>
 												</div>
 											{% endif %}
 										<div class="d-flex">
 											{% block report_summary %}
 											<div class="flex-row align-self-center">
 												<div class="align-self-center alert alert-dark mb-0" role="alert">
-													Taking into account the uncertainties tied to the model variables, in this scenario and assuming all occupants are exposed equally (i.e. without short-range interactions), the <b>probability of one exposed occupant getting infected is {{ long_range_prob_inf | non_zero_percentage }}</b> and the <b>expected number of new cases is {{ expected_new_cases | float_format }}</b>*.
+													Taking into account the uncertainties tied to the model variables, in this scenario and assuming all occupants are exposed equally (i.e. without short-range interactions), the <b>probability of one exposed occupant getting infected is {{ long_range_prob_inf | non_zero_percentage }}</b> and the <b>expected number of new cases is {{ total_expected_new_cases | float_format }}</b>*.
 												</div>
 												{% if form.short_range_option == "short_range_yes" %}
 													<br>
diff --git a/caimira/models.py b/caimira/models.py
index 04098c44..9cbfce75 100644
--- a/caimira/models.py
+++ b/caimira/models.py
@@ -1819,16 +1819,11 @@ class ExposureModel:
         """
         The expect_new_cases should always take the long-range infection_probability and multiply by the occupants exposed to long-range.
         """
-        prob_inf: _VectorisedFloat = self.infection_probability()
-        if self.short_range != ():
-            # If short-range interaction are defined, the total expected number of new cases
-            # has to take into account both the long- and short-range probability of infection.
-            long_range_model = nested_replace(self, {'short_range': (),})
-            long_range_prob = long_range_model.infection_probability()
-            short_range_total_people = self.short_range[0].total_people
-            return (prob_inf * short_range_total_people + long_range_prob * self.exposed.number) / 100
+        # If short-range interaction are defined, the total exposed people
+        # is only those of the short-range interactions.
+        exposed = self.short_range[0].total_people if self.short_range != () else self.exposed.number
 
-        return prob_inf * self.exposed.number / 100
+        return self.infection_probability() * exposed / 100
 
     def reproduction_number(self) -> _VectorisedFloat:
         """