add infected_people

cara/apps/calculator/report_generator.py

@@ -276,6 +276,25 @@ def comparison_report(scenarios: typing.Dict[str, models.ExposureModel]):
         'plot': img2base64(_figure2bytes(comparison_plot(scenarios))),
         'stats': statistics,
     }
+    
+def frequency(rate: int) -> str:
+    #The frequency at which one person can get infected which is based on the incidence rate.
+    #Incidence rate is number of positive cases per 100 000 population
+    inc_rate = rate/100000
+    freq = (exposed_occupants + infected_people) * inc_rate
+    
+    if freq >= 1
+        return 1
+    else
+        return "frequency": freq
+
+def transmission_probabiltiy(self) -> str:
+    #The probability that transmission takes place which includes the prob of occurance that someone gets 
+    #infected out of the total amount of occupants.
+    
+    #Probability of transmission (in %)
+    Prob_transmission = (self.frequency * (prob_inf/100)) * 100
+    return "prob_trans": Prob_transmission
 
 
 @dataclasses.dataclass

cara/apps/calculator/templates/base/calculator.report.html.j2

@@ -209,7 +209,8 @@
 	<p class="result_title">Results:</p>
 		<p class="data_text">
 		{% block report_summary %}
-        Taking into account the uncertainties tied to the model variables, in this scenario, the <b>probability of one exposed occupant getting infected is {{ prob_inf | non_zero_percentage }}</b><a href="#section1">[*]</a> 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 with {{ form.infected_people }} infected, the <b>probability of one exposed occupant getting infected is {{ prob_inf | non_zero_percentage }}</b><a href="#section1">[*]</a>. Assuming every occupant is exposed to the same risk, the <b>expected number of new cases is {{ expected_new_cases | float_format }}</b>. 
+		By including the current epidemiological situation in the region, the chances of on-site transmission reduces to <b>{{ prob_trans | float_format }} % </b>.
 		<p id="section1">[*] The results are based on the parameters and assumptions published in the CERN Open Report <a href="https://cds.cern.ch/record/2756083"> CERN-OPEN-2021-004</a></p>
         {% endblock report_summary %}
         </p>