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Increased airborne transmission of COVID-19 with new variants, implications for health policies

New COVID-19 variants, either of higher viral load such as delta or higher contagiousness like omicron, can lead to higher airborne transmission than historical strains. This paper highlights their implications for health policies, based on a clear analytical understanding and modeling of the airbor...

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Autores principales: Rowe, Bertrand R., Canosa, André, Meslem, Amina, Rowe, Frantz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9095081/
https://www.ncbi.nlm.nih.gov/pubmed/35578697
http://dx.doi.org/10.1016/j.buildenv.2022.109132
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author Rowe, Bertrand R.
Canosa, André
Meslem, Amina
Rowe, Frantz
author_facet Rowe, Bertrand R.
Canosa, André
Meslem, Amina
Rowe, Frantz
author_sort Rowe, Bertrand R.
collection PubMed
description New COVID-19 variants, either of higher viral load such as delta or higher contagiousness like omicron, can lead to higher airborne transmission than historical strains. This paper highlights their implications for health policies, based on a clear analytical understanding and modeling of the airborne contamination paths, of the dose following exposure, and the importance of the counting unit for pathogens, itself linked to the dose-response law. Using the counting unit of Wells, i.e. the quantum of contagium, we develop the conservation equation of quanta which allows deriving the value of the quantum concentration at steady state for a well-mixed room. The link with the monitoring concentration of carbon dioxide is made and used for a risk analysis of a variety of situations for which we collected CO(2) time-series observations. The main conclusions of these observations are that 1) the present norms of ventilation, are both insufficient and not respected, especially in a variety of public premises, leading to high risk of contamination and that 2) air can often be considered well-mixed. Finally, we insist that public health policy in the field of airborne transmission should be based on a multi parameter analysis such as the time of exposure, the quantum production rate, mask wearing and the infector proportion in the population in order to evaluate the risk, considering the whole complexity of dose evaluation. Recognizing airborne transmission requires thinking in terms of time of exposure rather than in terms of proximal distance.
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spelling pubmed-90950812022-05-12 Increased airborne transmission of COVID-19 with new variants, implications for health policies Rowe, Bertrand R. Canosa, André Meslem, Amina Rowe, Frantz Build Environ Article New COVID-19 variants, either of higher viral load such as delta or higher contagiousness like omicron, can lead to higher airborne transmission than historical strains. This paper highlights their implications for health policies, based on a clear analytical understanding and modeling of the airborne contamination paths, of the dose following exposure, and the importance of the counting unit for pathogens, itself linked to the dose-response law. Using the counting unit of Wells, i.e. the quantum of contagium, we develop the conservation equation of quanta which allows deriving the value of the quantum concentration at steady state for a well-mixed room. The link with the monitoring concentration of carbon dioxide is made and used for a risk analysis of a variety of situations for which we collected CO(2) time-series observations. The main conclusions of these observations are that 1) the present norms of ventilation, are both insufficient and not respected, especially in a variety of public premises, leading to high risk of contamination and that 2) air can often be considered well-mixed. Finally, we insist that public health policy in the field of airborne transmission should be based on a multi parameter analysis such as the time of exposure, the quantum production rate, mask wearing and the infector proportion in the population in order to evaluate the risk, considering the whole complexity of dose evaluation. Recognizing airborne transmission requires thinking in terms of time of exposure rather than in terms of proximal distance. Elsevier Ltd. 2022-07-01 2022-05-12 /pmc/articles/PMC9095081/ /pubmed/35578697 http://dx.doi.org/10.1016/j.buildenv.2022.109132 Text en © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Rowe, Bertrand R.
Canosa, André
Meslem, Amina
Rowe, Frantz
Increased airborne transmission of COVID-19 with new variants, implications for health policies
title Increased airborne transmission of COVID-19 with new variants, implications for health policies
title_full Increased airborne transmission of COVID-19 with new variants, implications for health policies
title_fullStr Increased airborne transmission of COVID-19 with new variants, implications for health policies
title_full_unstemmed Increased airborne transmission of COVID-19 with new variants, implications for health policies
title_short Increased airborne transmission of COVID-19 with new variants, implications for health policies
title_sort increased airborne transmission of covid-19 with new variants, implications for health policies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9095081/
https://www.ncbi.nlm.nih.gov/pubmed/35578697
http://dx.doi.org/10.1016/j.buildenv.2022.109132
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