def plot_hygiene_intervention_horizontal(baseline,
column='Infected (symptomatic)',
timing=True):
folder_path = './model_outcomes/one_intervention/'
if timing:
selectedInterventions = load_interventions(folder_path,
prefix='hygiene0.7')
selectedInterventions = {
k: v
for k, v in sorted(selectedInterventions.items(),
key=lambda item: int(item[0].split('-')[1]))
}
return plot_one_intervention_horizontal(column, baseline,
selectedInterventions)
else:
selectedInterventions = load_interventions(folder_path,
prefix='hygiene',
suffix='200')
selectedInterventions = {
k: v
for k, v in sorted(selectedInterventions.items(),
key=lambda item: float(item[0].split('-')[0].
split('giene')[1]))
}
return plot_one_intervention_horizontal(column, baseline,
selectedInterventions)
def plot_iso_intervention_horizontal(baseline,column='Infected (symptomatic)',timing=True):
folder_path='./model_outcomes/one_intervention/'
if timing:
selectedInterventions=load_interventions(folder_path,prefix='isolate50')
selectedInterventions={k: v for k, v in sorted(selectedInterventions.items(), key=lambda item: int(item[0].split('-')[1]))}
return plot_one_intervention_horizontal(column,baseline,selectedInterventions)
else:
selectedInterventions_100=load_interventions(folder_path,prefix='isolate100')
selectedInterventions_50=load_interventions(folder_path,prefix='isolate50',suffix='40')
selectedInterventions_10=load_interventions(folder_path,prefix='isolate10')
selectedInterventions = {**selectedInterventions_100, **selectedInterventions_50,**selectedInterventions_10}
selectedInterventions={k: v for k, v in sorted(selectedInterventions.items(), key=lambda item: int(item[0].split('-')[1]))}
return plot_one_intervention_horizontal(column,baseline,selectedInterventions)
def plot_onetype_intervention_horizontal(baseline,
prefix,
column='Infected (symptomatic)'):
folder_path = './model_outcomes/one_intervention/'
selectedInterventions = load_interventions(folder_path, prefix=prefix)
return plot_one_intervention_horizontal(column, baseline,
selectedInterventions)
def plot_intervention_comparison_interactive(
plot_intervention_comparison,
baseline,
folder_path='./model_outcomes/one_intervention/'):
selectedInterventions = load_interventions(folder_path)
selectedInterventions['do nothing'] = baseline
first = widgets.Dropdown(options=selectedInterventions.keys(),
value='do nothing',
description='Compare:',
disabled=False)
second = widgets.Dropdown(options=selectedInterventions.keys(),
description='With:',
disabled=False)
category = widgets.Dropdown(options=[
'Infected (symptomatic)', 'Hospitalised', 'Critical', 'Deaths'
],
description='Category:',
disabled=False)
w = interactive(plot_intervention_comparison,
scenarioDict=fixed(selectedInterventions),
firstIntervention=first,
secondIntervention=second,
selectedCategory=category)
controls = widgets.HBox(w.children[:-1],
layout=Layout(flex_flow='row wrap'))
output = w.children[-1]
words = widgets.Label(
'Compare two different intervention strategies or compare a particular intervention strategy with do nothing scenario'
)
container = widgets.VBox([words, controls, output])
container.layout.width = '100%'
container.layout.border = '2px solid grey'
container.layout.justify_content = 'space-around'
container.layout.align_items = 'center'
return container
def plot_one_intervention_horizontal_interactive(
plot_one_intervention_horizontal, baseline):
folder_path = './model_outcomes/one_intervention/'
one_intervention_dict = load_interventions(folder_path)
#sort the collection of interventions by their keys
one_intervention_dict = {
k: v
for k, v in sorted(one_intervention_dict.items(),
key=lambda item: item[0])
}
w = interactive(plot_one_intervention_horizontal,
column=widgets.Select(options=[
'Infected (symptomatic)', 'Hospitalised', 'Critical',
'Deaths'
],
value='Infected (symptomatic)',
description='Category:'),
baseline=fixed(baseline),
one_intervention_dict=fixed(one_intervention_dict))
words = widgets.Label(
'Contrast the peak case count between do nothing and a single intervention strategy in place'
)
container = widgets.VBox([words, w])
container.layout.width = '100%'
container.layout.border = '2px solid grey'
container.layout.justify_content = 'space-around'
container.layout.align_items = 'center'
return container
def plot_onetype_intervention_vertical(prefix,
column='Infected (symptomatic)',
top_5=False):
folder_path = './model_outcomes/one_intervention/'
selectedInterventions = load_interventions(folder_path, prefix=prefix)
return plot_one_intervention_vertical(column,
selectedInterventions,
top_5=top_5)
def plot_iso_intervention_horizontal(baseline,
column='Infected (symptomatic)',
timing=True):
folder_path = './model_outcomes/one_intervention/'
if timing:
selectedInterventions = load_interventions(folder_path,
prefix='isolate50')
return plot_one_intervention_horizontal(column, baseline,
selectedInterventions)
else:
selectedInterventions_100 = load_interventions(folder_path,
prefix='isolate100')
selectedInterventions_50 = load_interventions(folder_path,
prefix='isolate50',
suffix='40')
selectedInterventions_10 = load_interventions(folder_path,
prefix='isolate10')
selectedInterventions = {
**selectedInterventions_100,
**selectedInterventions_50,
**selectedInterventions_10
}
return plot_one_intervention_horizontal(column, baseline,
selectedInterventions)
def plot_one_intervention_vertical_interactive(plot_one_intervention_vertical):
folder_path='./model_outcomes/one_intervention/'
one_intervention_dict=load_interventions(folder_path)
w = interactive(plot_one_intervention_vertical,
column=widgets.Select(
options=['Infected (symptomatic)','Hospitalised','Critical','Deaths'],
value='Infected (symptomatic)',
description='Category:'
),
one_intervention_dict=fixed(one_intervention_dict),
top_5=fixed(True))
words = widgets.Label('Plot the case counts when one of the intervention is in place and the intervention plots are places by ascending order of effectiveness in reducing peak case counts')
container=widgets.VBox([words,w])
container.layout.width = '100%'
container.layout.border = '2px solid grey'
container.layout.justify_content = 'space-around'
container.layout.align_items = 'center'
return w