add run scripts
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1 changed files with 22 additions and 15 deletions
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@ -12,34 +12,41 @@ from cara.model_scenarios import *
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#print(np.quantile(chorale_model.infection_probability(),0.1))
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#plot_pi_vs_exposure_time(chorale_model, ['model1', 'model2'])
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plot_pi_vs_exposure_time(ski_cabin_model_baseline_exposure_time, ['model1', 'model2'],
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colors=['red', 'green'],
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linestyles=['dotted', 'dashed'],
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points=20,
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time_in_minutes=True,
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normalize_y_axis=True)
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#print(np.mean(ski_cabin_model_baseline_20[1].infection_probability()))
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#plot_pi_vs_exposure_time(ski_cabin_model_baseline_exposure_time+ski_cabin_model_baseline_exposure_time_FFP2, ['Ski cabin - surgical masks', 'Ski cabin - no masks','Ski cabin - FFP2 masks',''],
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# colors=['#1f77b4','tomato', 'seagreen', 'seagreen'],
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# linestyles=['solid', 'dashed', '-.', '-.'],
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# points=20,
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# time_in_minutes=True,
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# normalize_y_axis=True)
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# compare_viruses_qr(violins=True)
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compare_viruses_qr(violins=True)
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# print_qd_info(large_population_baselines[0])
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#print(np.mean(shared_office_model[1].infection_probability()))
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#composite_plot_pi_vs_viral_load([shared_office_worst_model[1], shared_office_model[1], shared_office_better_model[1]],
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# labels=['No mask &\nwindows closed', 'Baseline', 'Baseline +\nHEPA filter'],
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# labels=['No mask &\nwindows closed', 'Baseline:Windows\nopen (10min/2h)', 'Windows open\n(10min/2h) +\nHEPA filter'],
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# colors=['tomato', '#1f77b4', 'limegreen'],
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# title='Shared office scenario',
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# vl_points=200)
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#composite_plot_pi_vs_viral_load([classroom_model_no_vent[1], classroom_model[1], classroom_model_with_hepa[1], classroom_model_full_open_multi[1], classroom_model_full_open_multi_masks[1]],
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# labels=['Windows closed', 'Baseline:(windows 10min/2h)', 'Baseline:(windows 10min/2h)\n+ HEPA', 'Multiple windows open', 'Multiple windows open\n+masks'],
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# labels=['Windows closed', 'Baseline:Windows\nopen (10min/2h)', 'Windows open\n(10min/2h) + HEPA', 'Multiple windows open', 'Multiple windows open\n+masks'],
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# colors=['tomato','#1f77b4', 'dodgerblue', 'seagreen', 'limegreen'],
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# title='Classroom scenario',
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# vl_points=200)
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# composite_plot_pi_vs_viral_load([ski_cabin_model_60[1], ski_cabin_model_30[1], ski_cabin_model_20[1], ski_cabin_model_10[1]],
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# labels=['60 min', '30 min', 'Baseline: 20 min', '10 min'],
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# colors=['tomato', 'lightsalmon', '#1f77b4', 'limegreen'],
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# title='Ski cabin scenario',
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# vl_points=200)
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#composite_plot_pi_vs_viral_load([ski_cabin_model_60[1], ski_cabin_model_30[1], ski_cabin_model_baseline_20[1], ski_cabin_model_10[1]],
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# labels=['60 min', '30 min', 'Baseline: 20 min', '10 min'],
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# colors=['tomato', 'lightsalmon', '#1f77b4', 'limegreen'],
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# title='',
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# vl_points=200)
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#
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#composite_plot_pi_vs_viral_load([ski_cabin_model_baseline_20_no_mask[1], ski_cabin_model_baseline_20[1], ski_cabin_model_baseline_20_FFP2[1]],
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# labels=['20min\nno masks', 'Baseline: 20 min\nsurgical mask', '20 min\nFFP2 mask'],
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# colors=['tomato', '#1f77b4','seagreen'],
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# title='',
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# vl_points=200)
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#compare_concentration_curves([classroom_model_no_vent[1], classroom_model[1], classroom_model_with_hepa[1], classroom_model_full_open_multi[1]],
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# labels=['Windows closed', 'Baseline:(windows 10min/2h)', 'Baseline:(windows 10min/2h) + HEPA', 'Multiple windows open'],
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@ -67,7 +74,7 @@ plot_pi_vs_exposure_time(ski_cabin_model_baseline_exposure_time, ['model1', 'mod
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# compare_infection_probabilities_vs_viral_loads(*exposure_models)
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#
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#
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# present_model(exposure_models[0].concentration_model)
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#present_model(exposure_models[0].concentration_model, title='')
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# plot_pi_vs_qid(fixed_vl_exposure_models, labels=['Viral load = $10^{' + str(i) + '}$' for i in range(6, 11)],
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# qid_min=5, qid_max=2000, qid_samples=200)
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#
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