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Analyzing the dominant SARS-CoV-2 transmission routes toward an ab initio disease spread model

Identifying the relative importance of the different transmission routes of the SARS-CoV-2 virus is an urgent research priority. To that end, the different transmission routes and their role in determining the evolution of the Covid-19 pandemic are analyzed in this work. The probability of infection...

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Autores principales: Chaudhuri, Swetaprovo, Basu, Saptarshi, Saha, Abhishek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AIP Publishing LLC 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7720902/
https://www.ncbi.nlm.nih.gov/pubmed/33311972
http://dx.doi.org/10.1063/5.0034032
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author Chaudhuri, Swetaprovo
Basu, Saptarshi
Saha, Abhishek
author_facet Chaudhuri, Swetaprovo
Basu, Saptarshi
Saha, Abhishek
author_sort Chaudhuri, Swetaprovo
collection PubMed
description Identifying the relative importance of the different transmission routes of the SARS-CoV-2 virus is an urgent research priority. To that end, the different transmission routes and their role in determining the evolution of the Covid-19 pandemic are analyzed in this work. The probability of infection caused by inhaling virus-laden droplets (initial ejection diameters between 0.5 µm and 750 µm, therefore including both airborne and ballistic droplets) and the corresponding desiccated nuclei that mostly encapsulate the virions post droplet evaporation are individually calculated. At typical, air-conditioned yet quiescent indoor space, for average viral loading, cough droplets of initial diameter between 10 µm and 50 µm are found to have the highest infection probability. However, by the time they are inhaled, the diameters reduce to about 1/6th of their initial diameters. While the initially near unity infection probability due to droplets rapidly decays within the first 25 s, the small yet persistent infection probability of desiccated nuclei decays appreciably only by [Formula: see text] , assuming that the virus sustains equally well within the dried droplet nuclei as in the droplets. Combined with molecular collision theory adapted to calculate the frequency of contact between the susceptible population and the droplet/nuclei cloud, infection rate constants are derived ab initio, leading to a susceptible-exposed-infectious-recovered-deceased model applicable for any respiratory event–vector combination. The viral load, minimum infectious dose, sensitivity of the virus half-life to the phase of its vector, and dilution of the respiratory jet/puff by the entraining air are shown to mechanistically determine specific physical modes of transmission and variation in the basic reproduction number [Formula: see text] from first-principles calculations.
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spelling pubmed-77209022020-12-09 Analyzing the dominant SARS-CoV-2 transmission routes toward an ab initio disease spread model Chaudhuri, Swetaprovo Basu, Saptarshi Saha, Abhishek Phys Fluids (1994) ARTICLES Identifying the relative importance of the different transmission routes of the SARS-CoV-2 virus is an urgent research priority. To that end, the different transmission routes and their role in determining the evolution of the Covid-19 pandemic are analyzed in this work. The probability of infection caused by inhaling virus-laden droplets (initial ejection diameters between 0.5 µm and 750 µm, therefore including both airborne and ballistic droplets) and the corresponding desiccated nuclei that mostly encapsulate the virions post droplet evaporation are individually calculated. At typical, air-conditioned yet quiescent indoor space, for average viral loading, cough droplets of initial diameter between 10 µm and 50 µm are found to have the highest infection probability. However, by the time they are inhaled, the diameters reduce to about 1/6th of their initial diameters. While the initially near unity infection probability due to droplets rapidly decays within the first 25 s, the small yet persistent infection probability of desiccated nuclei decays appreciably only by [Formula: see text] , assuming that the virus sustains equally well within the dried droplet nuclei as in the droplets. Combined with molecular collision theory adapted to calculate the frequency of contact between the susceptible population and the droplet/nuclei cloud, infection rate constants are derived ab initio, leading to a susceptible-exposed-infectious-recovered-deceased model applicable for any respiratory event–vector combination. The viral load, minimum infectious dose, sensitivity of the virus half-life to the phase of its vector, and dilution of the respiratory jet/puff by the entraining air are shown to mechanistically determine specific physical modes of transmission and variation in the basic reproduction number [Formula: see text] from first-principles calculations. AIP Publishing LLC 2020-12-01 /pmc/articles/PMC7720902/ /pubmed/33311972 http://dx.doi.org/10.1063/5.0034032 Text en © 2020 Author(s) Published under license by AIP Publishing. 1070-6631/2020/32(12)/123306/14/$30.00 All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle ARTICLES
Chaudhuri, Swetaprovo
Basu, Saptarshi
Saha, Abhishek
Analyzing the dominant SARS-CoV-2 transmission routes toward an ab initio disease spread model
title Analyzing the dominant SARS-CoV-2 transmission routes toward an ab initio disease spread model
title_full Analyzing the dominant SARS-CoV-2 transmission routes toward an ab initio disease spread model
title_fullStr Analyzing the dominant SARS-CoV-2 transmission routes toward an ab initio disease spread model
title_full_unstemmed Analyzing the dominant SARS-CoV-2 transmission routes toward an ab initio disease spread model
title_short Analyzing the dominant SARS-CoV-2 transmission routes toward an ab initio disease spread model
title_sort analyzing the dominant sars-cov-2 transmission routes toward an ab initio disease spread model
topic ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7720902/
https://www.ncbi.nlm.nih.gov/pubmed/33311972
http://dx.doi.org/10.1063/5.0034032
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