def fn(self, cb):
nodelist = {x: [] for x in self.irs_dates}
irs_distr = zip(self.irs_dates, self.irs_fracs)
with open(self.reffname) as fin:
cov = json.loads(fin.read())
for irscov in cov[self.channel]:
if irscov['coverage'] > 0:
for i, (irs_date, irs_frac) in enumerate(irs_distr):
c = irscov['coverage'] * irs_frac
if i < len(self.irs_fracs) - 1:
c /= np.prod([
1 - x * irscov['coverage']
for x in self.irs_fracs[i + 1:]
])
nodeIDs = [
x for x in irscov['nodes'] if np.random.random() <= c
]
nodelist[irs_date] += nodeIDs
for i, (irs_date, irs_frac) in enumerate(irs_distr):
if len(nodelist[irs_date]) > 0:
add_node_IRS(cb,
irs_date,
initial_killing=self.initial_killing,
box_duration=self.box_duration,
nodeIDs=nodelist[irs_date])
count_triggers=['HappyBirthday'],
threshold_type=
'COUNT', #this is the default, we can also look at % per eligible population
thresholds=[13, 254],
triggered_events=['Party', 'PartyHarder'])
add_incidence_counter(cb,
start_day=50,
count_duration=30,
count_triggers=['HappyBirthday'],
thresholds=[1, 9],
triggered_events=['Party', 'PartyHarder'])
# adding an intervention node IRS intervention that starts listening for Action1 trigger and when/if it hears it,
# listening_duration of -1 indicates that this intervention will listen forever and perform the tasks whenever Action1 is sent out
add_node_IRS(cb, 30, trigger_condition_list=["Party"], listening_duration=-1)
# this intervention is distributed and starts listening on day 60, but distributes the IRS 1000 days after it is triggered
# please note if the listening duration was less than triggered day + campaign delay, the intervention would not run.
add_node_IRS(cb,
60,
triggered_campaign_delay=1000,
trigger_condition_list=["PartyHarder"])
# listens for 15 days and, as the result, hears nothing and does nothing.
add_node_IRS(cb,
60,
trigger_condition_list=["PartyHarder"],
listening_duration=15)
# run_sim_args is what the `dtk run` command will look for