def intialise_control_dict(hygiene_value=0.7,
hygiene_timing=[0, 0],
icu_capacity=6,
isolate_value=10,
isolate_timing=[0, 0],
shielding=False,
highrisk_value=20,
highrisk_timing=[0, 0],
highrisk_cat=2):
camp = 'Moria'
population_frame, population = preparePopulationFrame(camp)
# from github issue
# if not used, set timings to e.g. [0,0] or any other interval of 0 length or outside caluclated window
control_dict = dict( # contains our 6 different control options. Can choose any combination of these 6. Suggest limit to all occuring at similar times
# 1
# if True, reduces transmission rate by params.better_hygiene
better_hygiene=dict(value=hygiene_value, timing=hygiene_timing),
ICU_capacity=dict(value=icu_capacity / population),
# 4
# move symptomatic cases off site
remove_symptomatic=dict(
rate=isolate_value / population, # people per day
timing=isolate_timing),
# 5
# partially separate low and high risk
# (for now) assumed that if do this, do for entire course of epidemic
shielding=dict(used=shielding),
# 6
# move uninfected high risk people off site
remove_high_risk=dict(
rate=highrisk_value / population, # people per day
n_categories_removed=highrisk_cat, # remove oldest n categories
timing=highrisk_timing))
return camp, population_frame, population, control_dict
from initialise_parameters import preparePopulationFrame, params
# camp
camp = 'Moria'
population_frame, population = preparePopulationFrame(camp)
# from github issue
# if not used, set timings to e.g. [0,0] or any other interval of 0 length or outside caluclated window
control_dict = dict( # contains our 6 different control options. Can choose any combination of these 6. Suggest limit to all occuring at similar times
# 1
# if True, reduces transmission rate by params.better_hygiene
better_hygiene = dict(value = params.better_hygiene,
timing = [0,30]),
ICU_capacity = dict(value = 6/population),
# 4
# move symptomatic cases off site
remove_symptomatic = dict(rate = 10/population, # people per day
timing = [0,0]),
# 5
# partially separate low and high risk
# (for now) assumed that if do this, do for entire course of epidemic
shielding = dict(used= False),
# 6
# move uninfected high risk people off site
remove_high_risk = dict(rate = 20/population, # people per day