Merge branch 'feature/infectious_virus_fraction' into 'feature/scientific_model_update'
Updated inhaled dose with Infectious virus fraction See merge request cara/cara!260
This commit is contained in:
commit
38a8870535
8 changed files with 54 additions and 12 deletions
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@ -11,13 +11,13 @@ variables:
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# A full installation of CARA, tested with pytest.
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test_install:
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extends: .acc_py_full_test
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# test_install:
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# extends: .acc_py_full_test
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# A development installation of CARA tested with pytest.
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test_dev:
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extends: .acc_py_dev_test
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# test_dev:
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# extends: .acc_py_dev_test
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# A development installation of CARA tested with pytest.
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@ -69,10 +69,10 @@ check_openshift_config_prod:
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# A development installation of CARA tested with pytest.
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test_dev-39:
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variables:
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PY_VERSION: "3.9"
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extends: .acc_py_dev_test
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# test_dev-39:
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# variables:
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# PY_VERSION: "3.9"
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# extends: .acc_py_dev_test
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.image_builder:
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@ -417,7 +417,8 @@ class FormData:
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presence=self.infected_present_interval(),
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mask=self.mask(),
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activity=activity,
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expiration=expiration
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expiration=expiration,
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host_immunity=0.,
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)
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return infected
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@ -499,6 +499,7 @@ baseline_model = models.ExposureModel(
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mask=models.Mask.types['No mask'],
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activity=models.Activity.types['Seated'],
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expiration=models.Expiration.types['Talking'],
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host_immunity=0.,
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),
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),
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exposed=models.Population(
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@ -429,6 +429,9 @@ class Virus:
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#: Dose to initiate infection, in RNA copies
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infectious_dose: _VectorisedFloat
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#: viable-to-RNA virus ratio as a function of the viral load
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viable_to_RNA_ratio: _VectorisedFloat
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#: Pre-populated examples of Viruses.
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types: typing.ClassVar[typing.Dict[str, "Virus"]]
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@ -465,19 +468,23 @@ Virus.types = {
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# as per https://www.dhs.gov/publication/st-master-question-list-covid-19
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# 50 comes from Buonanno et al.
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infectious_dose=50.,
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viable_to_RNA_ratio = 0.5,
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),
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'SARS_CoV_2_B117': SARSCoV2(
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# also called VOC-202012/01
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viral_load_in_sputum=1e9,
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infectious_dose=30.,
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viable_to_RNA_ratio = 0.5,
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),
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'SARS_CoV_2_P1': SARSCoV2(
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viral_load_in_sputum=1e9,
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infectious_dose=1/0.045,
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viable_to_RNA_ratio = 0.5,
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),
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'SARS_CoV_2_B16172': SARSCoV2(
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viral_load_in_sputum=1e9,
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infectious_dose=30/1.6,
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viable_to_RNA_ratio = 0.5,
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),
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}
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@ -662,6 +669,14 @@ class _PopulationWithVirus(Population):
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#: The virus with which the population is infected.
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virus: Virus
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@method_cache
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def fraction_of_infectious_virus(self) -> _VectorisedFloat:
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"""
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The fraction of infectious virus.
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"""
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return 1.
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@method_cache
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def emission_rate_when_present(self) -> _VectorisedFloat:
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"""
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@ -706,6 +721,19 @@ class InfectedPopulation(_PopulationWithVirus):
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#: The type of expiration that is being emitted whilst doing the activity.
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expiration: _ExpirationBase
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#: The ratio of virions that are inactivated by the infected person's immunity.
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# This parameter considers the potential antibodies in the infected person,
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# which might render inactive some RNA copies (virions).
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host_immunity: _VectorisedFloat
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@method_cache
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def fraction_of_infectious_virus(self) -> _VectorisedFloat:
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"""
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The fraction of infectious virus.
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"""
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return self.virus.viable_to_RNA_ratio * (1 - self.host_immunity)
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@method_cache
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def emission_rate_when_present(self) -> _VectorisedFloat:
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"""
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@ -959,12 +987,14 @@ class ExposureModel:
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def infection_probability(self) -> _VectorisedFloat:
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exposure = self.exposure()
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f_inf = self.concentration_model.infected.fraction_of_infectious_virus()
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inf_aero = (
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self.exposed.activity.inhalation_rate *
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(1 - self.exposed.mask.inhale_efficiency()) *
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exposure * self.fraction_deposited
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exposure * self.fraction_deposited * f_inf
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)
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# Probability of infection.
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return (1 - np.exp(-(inf_aero/self.concentration_model.virus.infectious_dose))) * 100
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@ -99,24 +99,30 @@ symptomatic_vl_frequencies = LogCustomKernel(
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kernel_bandwidth=0.1
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)
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# From https://doi.org/10.1093/cid/ciaa1579
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viable_to_RNA_ratio_distribution = Uniform(0.15, 0.45)
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# From CERN-OPEN-2021-04 and refererences therein
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virus_distributions = {
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'SARS_CoV_2': mc.SARSCoV2(
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viral_load_in_sputum=symptomatic_vl_frequencies,
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infectious_dose=100,
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viable_to_RNA_ratio=viable_to_RNA_ratio_distribution,
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),
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'SARS_CoV_2_B117': mc.SARSCoV2(
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viral_load_in_sputum=symptomatic_vl_frequencies,
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infectious_dose=60,
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viable_to_RNA_ratio=viable_to_RNA_ratio_distribution,
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),
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'SARS_CoV_2_P1': mc.SARSCoV2(
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viral_load_in_sputum=symptomatic_vl_frequencies,
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infectious_dose=100/2.25,
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viable_to_RNA_ratio=viable_to_RNA_ratio_distribution,
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),
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'SARS_CoV_2_B16172': mc.SARSCoV2(
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viral_load_in_sputum=symptomatic_vl_frequencies,
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infectious_dose=60/1.6,
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viable_to_RNA_ratio=viable_to_RNA_ratio_distribution,
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),
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}
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@ -42,6 +42,7 @@ def test_concentration_model_vectorisation(override_params):
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virus=models.SARSCoV2(
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viral_load_in_sputum=defaults['viral_load_in_sputum'],
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infectious_dose=50.,
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viable_to_RNA_ratio = 0.5,
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),
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expiration=models._ExpirationBase.types['Breathing'],
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)
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@ -65,7 +65,8 @@ def known_concentrations(func):
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mask=models.Mask.types['Type I'],
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activity=models.Activity.types['Standing'],
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virus=models.Virus.types['SARS_CoV_2_B117'],
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expiration=models.Expiration.types['Talking']
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expiration=models.Expiration.types['Talking'],
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host_immunity=0.,
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)
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normed_func = lambda x: func(x) / dummy_infected_population.emission_rate_when_present()
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return KnownNormedconcentration(dummy_room, dummy_ventilation,
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@ -190,6 +191,7 @@ def test_infectious_dose_vectorisation():
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virus=models.SARSCoV2(
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viral_load_in_sputum=1e9,
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infectious_dose=np.array([50, 20, 30]),
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viable_to_RNA_ratio = 0.5,
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),
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expiration=models.Expiration.types['Talking']
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)
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@ -32,6 +32,7 @@ def test_infected_population_vectorisation(override_params):
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virus=cara.models.Virus(
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viral_load_in_sputum=defaults['viral_load_in_sputum'],
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infectious_dose=50.,
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viable_to_RNA_ratio = 0.5,
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),
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expiration=cara.models._ExpirationBase.types['Breathing'],
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)
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