39 lines
1.3 KiB
Python
39 lines
1.3 KiB
Python
""" Title: COVID Airborne Risk Assessment
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Author: <author(s) names>
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Date: <date>
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Code version: <code version>
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Availability: <where it's located> """
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from cara.models import InfectedPopulation
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from cara import model_scenarios_paper
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from cara.results_paper import *
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from cara.test_plots import *
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from cara.monte_carlo.data import symptomatic_vl_frequencies
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from itertools import product
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from dataclasses import dataclass
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# Exhaled virions while talking, seated #
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print('\n<<<<<<<<<<< Vlout for Talking, seated >>>>>>>>>>>')
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#exposure_model_from_vl_talking()
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# Exhaled virions while breathing, seated #
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print('\n<<<<<<<<<<< Vlout for Breathing, seated >>>>>>>>>>>')
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#exposure_model_from_vl_breathing()
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# Exhaled virions while talking according to BLO model, seated #
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print('\n<<<<<<<<<<< Vlout for Talking, seated with chosen Cn,L >>>>>>>>>>>')
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#exposure_model_from_vl_talking_cn()
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# Exhaled virions while breathing according to BLO model, seated #
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print('\n<<<<<<<<<<< Vlout for Breathing, seated with chosen Cn,B >>>>>>>>>>>')
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#exposure_model_from_vl_breathing_cn()
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print('\n')
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############ Plots with viral loads and emission rates ############
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#present_vl_er_histograms()
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############ CDFs for comparing the QR-Values in different scenarios ############
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generate_cdf_curves()
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############ Used for testing ############
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#exposure_model_from_vl_talking_new_points()
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