notes from meeting

CovidAlertVaccinationModel/src/ABM/contact_vectors.jl

-#here are the functions for 
-
-
-
-
+#do this only at the start
 
 """
 Called in the inner loop of `generate_contact_vectors!`, this function removes the degree corresponding to kth entry of index_lists, replaces it with another randomly sampled degree, and returns `csum` adjusted to the new samples. 

CovidAlertVaccinationModel/src/ABM/mixing_graphs.jl

@@ -91,6 +91,9 @@ function time_dep_mixing_graphs(len,base_network,demographics,index_vectors,ws_m
     rest_weekly_edges = WeightedGraph(demographics,index_vectors,rest_matrix_tuple.twice_a_week,contact_time_distributions.rest)
     rest_justonce_edges = WeightedGraph(demographics,index_vectors,rest_matrix_tuple.otherwise,contact_time_distributions.rest)
    
+    #weekly multiply durations by 1/5
+    #daily multiply by 1/2
+    
     inf_network_list = [home_static_edges,rest_static_edges,ws_justonce_edges,rest_justonce_edges] 
     soc_network_list = [home_static_edges,rest_static_edges,ws_static_edges]
 

CovidAlertVaccinationModel/src/ABM/model_setup.jl

@@ -21,7 +21,7 @@
         κ = 0.0,
         ω = 0.0061,
         ω_en = 0.05,
-        Γ = 1/7,
+        Γ = 1/7, #make this .906
         ξ = 5.0,
         notification_parameter = 0.0005,
         vaccinator_prob = 0.6,

CovidAlertVaccinationModel/src/ABM/plotting.jl

@@ -4,7 +4,7 @@
 using Printf
 
 const ts_colors = cgrad(:PuBu_9)
-
+#plot for each day some metric of repeated notifications
 function plot_model(varname,univariate_series, output_list::Vector{T},p) where T
     @unpack sim_length, immunization_intervals,infection_introduction_day = p 
     immunization_begin = first(minimum(immunization_intervals))