67 lines
No EOL
2.9 KiB
Python
67 lines
No EOL
2.9 KiB
Python
import numpy as np
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import cara.monte_carlo as mc
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from cara.monte_carlo.sampleable import Normal,LogNormal,LogCustomKernel, Uniform
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# From CERN-OPEN-2021-04 and refererences therein
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activity_distributions = {
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'Seated': mc.Activity(LogNormal(-0.6872121723362303, 0.10498338229297108),
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LogNormal(-0.6872121723362303, 0.10498338229297108)),
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'Standing': mc.Activity(LogNormal(-0.5742377578494785, 0.09373162411398223),
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LogNormal(-0.5742377578494785, 0.09373162411398223)),
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'Light activity': mc.Activity(LogNormal(0.21380242785625422,0.09435378091059601),
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LogNormal(0.21380242785625422,0.09435378091059601)),
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'Moderate activity': mc.Activity(LogNormal(0.551771330362601, 0.1894616357138137),
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LogNormal(0.551771330362601, 0.1894616357138137)),
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'Heavy exercise': mc.Activity(LogNormal(1.1644665696723049, 0.21744554768657565),
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LogNormal(1.1644665696723049, 0.21744554768657565)),
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}
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# From CERN-OPEN-2021-04 and refererences therein
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symptomatic_vl_frequencies = LogCustomKernel(
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np.array((2.46032, 2.67431, 2.85434, 3.06155, 3.25856, 3.47256, 3.66957, 3.85979, 4.09927, 4.27081,
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4.47631, 4.66653, 4.87204, 5.10302, 5.27456, 5.46478, 5.6533, 5.88428, 6.07281, 6.30549,
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6.48552, 6.64856, 6.85407, 7.10373, 7.30075, 7.47229, 7.66081, 7.85782, 8.05653, 8.27053,
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8.48453, 8.65607, 8.90573, 9.06878, 9.27429, 9.473, 9.66152, 9.87552)),
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np.array((0.001206885, 0.007851618, 0.008078144, 0.01502491, 0.013258014, 0.018528495, 0.020053765,
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0.021896167, 0.022047184, 0.018604005, 0.01547796, 0.018075445, 0.021503523, 0.022349217,
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0.025097721, 0.032875078, 0.030594727, 0.032573045, 0.034717482, 0.034792991,
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0.033267721, 0.042887485, 0.036846816, 0.03876473, 0.045016819, 0.040063473, 0.04883754,
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0.043944602, 0.048142864, 0.041588741, 0.048762031, 0.027921732, 0.033871788,
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0.022122693, 0.016927718, 0.008833228, 0.00478598, 0.002807662)),
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kernel_bandwidth=0.1
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)
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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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),
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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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),
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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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),
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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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),
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}
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# From CERN-OPEN-2021-04 and refererences therein
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mask_distributions = {
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'Type I': mc.Mask(Uniform(0.25, 0.80)),
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'FFP2': mc.Mask(Uniform(0.83, 0.91)),
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} |