hidden=False)
contagious_delay_pars = {
'mean':
Parameter('cont_delay_mean', 5., 0., 50.,
'mean time from being infected to becoming contagious'),
'sigma':
Parameter(
'cont_delay_sigma', 3., 0.01, 20.,
'standard deviation of times from being infected to becoming contagious'
)
}
contagious_delay = Delay('cont_delay', 'norm', contagious_delay_pars, bc_model)
bc_model.add_connector(
Propagator('infected to contagious', infected_pop, contagious_pop,
contagious_frac, contagious_delay))
# The contagious either recover or die
# This split is only used to track the deaths.
# The removal of recoveries/positive tests etc done in a separate path
# oooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooo
recovered_pop = Population('recovered',
0,
'People who have recovered from the illness ' +
'and are therefore no longer susceptible',
color='limegreen')
deaths_pop = Population('deaths',
0,
'people who have died from the illness',
hidden=False,