Exemplo n.º 1
0
def test_pulsed_infections_network_poisson(make_test_sim):
    ''' Test a poisson sampled number of infections'''
    pars, BU_pop = make_test_sim
    # Turn off infections from person-to-person
    pars['beta'] = 0
    # Infect 10 people.
    num_days = (bu.make_dt(pars['end_day']) -
                bu.make_dt(pars['start_day'])).days
    days = (num_days + 1) * [0]
    # All infections on the first day.
    days[0] = 1
    NUM_INFECTIONS = 10
    interv = bv.pulsed_infections_network(BU_pop['contacts'],
                                          days,
                                          layer_name='household',
                                          pulse_sampling='poisson',
                                          pulse_count=NUM_INFECTIONS)
    sim = cv.Sim(pars=pars,
                 popfile=BU_pop,
                 verbose=False,
                 load_pop=True,
                 interventions=[interv],
                 analyzers=[])
    # Update the sim with our extra categories
    bu.update_sim_people(sim, BU_pop)
    # Fix the random seed
    cv.utils.set_seed(987654321)
    # run it
    sim.run()
    # Check that the correct number of infections on day 0 were created
    assert sim.results['new_infections'].values[0] == 9
    # and none on day 1
    assert sim.results['new_infections'].values[1] == 0
Exemplo n.º 2
0
def test_gen_periodic_testing_interventions_real(make_test_sim):
    # Generate tests for every 3.5 days and every 7 days.  Run the sim
    # for a week.  Check that the sum of sim.results['new_tests'] is
    # equal to the number of people in the sim.  beta is set to zero
    # to prevent any infections/symptomatic attestation going on and
    # triggering more tests.
    pars, BU_pop = make_test_sim
    # Turn off infections from person-to-person
    pars['beta'] = 0
    # Set the dates. One week plus a day so we get a week of testing.
    pars['start_day'] = '2020-01-01'
    pars['end_day'] = '2020-01-08'
    num_days = (bu.make_dt(pars['end_day']) -
                bu.make_dt(pars['start_day'])).days
    intervs = bu.gen_periodic_testing_interventions_real(
        BU_pop, num_days, start_date=pars['start_day'])
    sim = cv.Sim(pars=pars,
                 popfile=BU_pop,
                 verbose=False,
                 load_pop=True,
                 interventions=intervs,
                 analyzers=[])
    # Update the sim with our extra categories
    bu.update_sim_people(sim, BU_pop)
    # Fix the random seed
    cv.utils.set_seed(987654321)
    # run it
    sim.run()
    # Total number of tests
    assert int(sum(sim.results['new_tests'])) == 10818
    # each day
    assert list(sim.results['new_tests'])[0:-1] == [
        1683.0, 1697.0, 1747.0, 1119.0, 1128.0, 1697.0, 1747.0
    ]
Exemplo n.º 3
0
verbose = False  # keep the simulations quiet
if n_runs == 1:
    verbose = True  #unles there's just 1.

#%% Create the list of daily snapshot objects
analyzers = bu.get_BU_snapshots(num_days)

#%%
sim = cv.Sim(pars=pars,
             popfile=BU_pop,
             verbose=verbose,
             load_pop=True,
             interventions=interventions,
             analyzers=analyzers)
# Update the sim with our extra categories
bu.update_sim_people(sim, BU_pop)
#%%

sims_complete = bu.parallel_run_sims(sim,
                                     n_runs=n_runs,
                                     n_cores=bu.get_n_cores())

msim = cv.MultiSim(sims_complete)
msim.reduce()

print("Creating dataframes")
#%% Get the snapshots dataframe
snapshots_df = bu.snapshots_to_df(sims_complete)
#%%
infection_df = bu.infection_count_to_df(sims_complete)