render typo

Author: avallecam

instructors/04-practical-tutors.qmd

@@ -409,9 +409,9 @@ epidemics::epidemic_peak(data = simulate_intervention)
 
 Interpretation Helpers:
 
-+ School closure starting on day 200 for a duration of 250 days can delay the peak of infectious across age groups by 240 days aprox., and reduce the total number of new infections in the whole population by 20,000 aprox.
-+ Mask mandate starting on day 200 for a duration of 250 days can delay the peak of infectious across age groups by 40 days aprox., and reduce the total number of new infections in the whole population by 50,000 aprox.
-+ Vaccinations starting on day 200 for a duration of 250 days will not delay the peak of infectious across age groups, but reduce the total number of new infections in the whole population by 40,000 aprox. 
++ School closure starting on day 200 for a duration of 250 days can delay the peak of infectious across age groups by 240 days approx., and reduce the total number of new infections in the whole population by 20,000 approx.
++ Mask mandate starting on day 200 for a duration of 250 days can delay the peak of infectious across age groups by 40 days approx., and reduce the total number of new infections in the whole population by 50,000 approx.
++ Vaccinations starting on day 200 for a duration of 250 days will not delay the peak of infectious across age groups, but reduce the total number of new infections in the whole population by 40,000 approx. 
     + Note that the effectiveness of vaccination can depend on various factors, including **vaccine efficacy** and **timing relative to the outbreak**.
 
 ### Additional challenges
@@ -571,9 +571,9 @@ epidemics::epidemic_peak(simulate_twointerventions)
 
 Interpretation Helpers:
 
-+ Overlapping School closure and Vaccinations can have an earlier peak of infectious across age groups by 100 days aprox., and reduce the total number of new infections in the whole population by 75,000 aprox. 
-+ Overlapping Mask mandate and School closure can delay the peak of infectious across age groups by 300 days aprox., and reduce the total number of new infections in the whole population by 10,000 aprox. 
-+ Overlapping Mask mandate and Vaccination will not change the time of peak of infectious across age groups, but reduce the total number of new infections in the whole population by 70,000 aprox. 
++ Overlapping School closure and Vaccinations can have an earlier peak of infectious across age groups by 100 days approx., and reduce the total number of new infections in the whole population by 75,000 approx. 
++ Overlapping Mask mandate and School closure can delay the peak of infectious across age groups by 300 days approx., and reduce the total number of new infections in the whole population by 10,000 approx. 
++ Overlapping Mask mandate and Vaccination will not change the time of peak of infectious across age groups, but reduce the total number of new infections in the whole population by 70,000 approx. 
 
 ### Additional challenge
 

instructors/files/04-practical-tutors.md

@@ -241,16 +241,16 @@ Within your room, write your answers to these questions:
 Interpretation Helpers:
 
 - School closure starting on day 200 for a duration of 250 days can
-  delay the peak of infectious across age groups by 240 days aprox., and
-  reduce the total number of new infections in the whole population by
-  20,000 aprox.
+  delay the peak of infectious across age groups by 240 days approx.,
+  and reduce the total number of new infections in the whole population
+  by 20,000 approx.
 - Mask mandate starting on day 200 for a duration of 250 days can delay
-  the peak of infectious across age groups by 40 days aprox., and reduce
-  the total number of new infections in the whole population by 50,000
-  aprox.
+  the peak of infectious across age groups by 40 days approx., and
+  reduce the total number of new infections in the whole population by
+  50,000 approx.
 - Vaccinations starting on day 200 for a duration of 250 days will not
   delay the peak of infectious across age groups, but reduce the total
-  number of new infections in the whole population by 40,000 aprox.
+  number of new infections in the whole population by 40,000 approx.
   - Note that the effectiveness of vaccination can depend on various
     factors, including **vaccine efficacy** and **timing relative to the
     outbreak**.
@@ -337,15 +337,15 @@ room 3
 Interpretation Helpers:
 
 - Overlapping School closure and Vaccinations can have an earlier peak
-  of infectious across age groups by 100 days aprox., and reduce the
+  of infectious across age groups by 100 days approx., and reduce the
   total number of new infections in the whole population by 75,000
-  aprox.
+  approx.
 - Overlapping Mask mandate and School closure can delay the peak of
-  infectious across age groups by 300 days aprox., and reduce the total
-  number of new infections in the whole population by 10,000 aprox.
+  infectious across age groups by 300 days approx., and reduce the total
+  number of new infections in the whole population by 10,000 approx.
 - Overlapping Mask mandate and Vaccination will not change the time of
   peak of infectious across age groups, but reduce the total number of
-  new infections in the whole population by 70,000 aprox.
+  new infections in the whole population by 70,000 approx.
 
 ### Additional challenge
 
@@ -905,7 +905,7 @@ infections_vaccinate <- infections_intervention
 # Activity 3
 
 # step: fill in your room number
-room_number <- 1
+room_number <- 1 # valid for all, account by specific changes
 
 # Combine interventions --------------------------------------------------
 
@@ -917,10 +917,10 @@ simulate_twointerventions <- epidemics::model_default(
   recovery_rate = recovery_rate,
   # Intervention
   intervention = list(
-    # transmission_rate = intervention_mask_mandate#,
-    contacts = intervention_schoolclosure
+    # transmission_rate = intervention_mask_mandate#, #<CHANGE-BY-ROOM>
+    contacts = intervention_schoolclosure #<CHANGE-BY-ROOM>
   ),
-  vaccination = intervention_vaccinate,
+  vaccination = intervention_vaccinate, #<CHANGE-BY-ROOM>
   time_end = 1000,
   increment = 1.0
 )
@@ -939,30 +939,30 @@ epidemics::epidemic_peak(simulate_twointerventions)
 
 infections_baseline <- epidemics::new_infections(
   data = simulate_baseline,
-  compartments_from_susceptible = "vaccinated", # if vaccination
+  compartments_from_susceptible = "vaccinated", # if vaccination #<CHANGE-BY-ROOM>
   by_group = FALSE # if TRUE, then age-stratified output
 )
 
 infections_twointerventions <- epidemics::new_infections(
   data = simulate_twointerventions,
-  compartments_from_susceptible = "vaccinated", # if vaccination
+  compartments_from_susceptible = "vaccinated", # if vaccination #<CHANGE-BY-ROOM>
   by_group = FALSE # if TRUE, then age-stratified output
 )
 
 # Assign scenario names
 infections_baseline$scenario <- "Baseline"
-infections_twointerventions$scenario <- "School closure + Vaccination"
-# infections_twointerventions$scenario <- "Mask mandate + School closure"
-# infections_twointerventions$scenario <- "Mask mandate + Vaccination"
+infections_twointerventions$scenario <- "School closure + Vaccination" #<CHANGE-BY-ROOM>
+# infections_twointerventions$scenario <- "Mask mandate + School closure" #<CHANGE-BY-ROOM>
+# infections_twointerventions$scenario <- "Mask mandate + Vaccination" #<CHANGE-BY-ROOM>
 
 # Compare interventions --------------------------------------------------
 
 # Combine the data from all scenarios
 compare_interventions <- dplyr::bind_rows(
   infections_baseline,
-  infections_schoolclosure, 
-  # infections_mask_mandate,
-  # infections_vaccinate, 
+  infections_schoolclosure, #<CHANGE-BY-ROOM>
+  # infections_mask_mandate, #<CHANGE-BY-ROOM>
+  # infections_vaccinate, #<CHANGE-BY-ROOM>
   infections_twointerventions
 )