Cargando…
Model Calculations of Aerosol Transmission and Infection Risk of COVID-19 in Indoor Environments
The role of aerosolized SARS-CoV-2 viruses in airborne transmission of COVID-19 has been debated. The aerosols are transmitted through breathing and vocalization by infectious subjects. Some authors state that this represents the dominant route of spreading, while others dismiss the option. Here we...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662582/ https://www.ncbi.nlm.nih.gov/pubmed/33153155 http://dx.doi.org/10.3390/ijerph17218114 |
_version_ | 1783609429707456512 |
---|---|
author | Lelieveld, Jos Helleis, Frank Borrmann, Stephan Cheng, Yafang Drewnick, Frank Haug, Gerald Klimach, Thomas Sciare, Jean Su, Hang Pöschl, Ulrich |
author_facet | Lelieveld, Jos Helleis, Frank Borrmann, Stephan Cheng, Yafang Drewnick, Frank Haug, Gerald Klimach, Thomas Sciare, Jean Su, Hang Pöschl, Ulrich |
author_sort | Lelieveld, Jos |
collection | PubMed |
description | The role of aerosolized SARS-CoV-2 viruses in airborne transmission of COVID-19 has been debated. The aerosols are transmitted through breathing and vocalization by infectious subjects. Some authors state that this represents the dominant route of spreading, while others dismiss the option. Here we present an adjustable algorithm to estimate the infection risk for different indoor environments, constrained by published data of human aerosol emissions, SARS-CoV-2 viral loads, infective dose and other parameters. We evaluate typical indoor settings such as an office, a classroom, choir practice, and a reception/party. Our results suggest that aerosols from highly infective subjects can effectively transmit COVID-19 in indoor environments. This “highly infective” category represents approximately 20% of the patients who tested positive for SARS-CoV-2. We find that “super infective” subjects, representing the top 5–10% of subjects with a positive test, plus an unknown fraction of less—but still highly infective, high aerosol-emitting subjects—may cause COVID-19 clusters (>10 infections). In general, active room ventilation and the ubiquitous wearing of face masks (i.e., by all subjects) may reduce the individual infection risk by a factor of five to ten, similar to high-volume, high-efficiency particulate air (HEPA) filtering. A particularly effective mitigation measure is the use of high-quality masks, which can drastically reduce the indoor infection risk through aerosols. |
format | Online Article Text |
id | pubmed-7662582 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-76625822020-11-14 Model Calculations of Aerosol Transmission and Infection Risk of COVID-19 in Indoor Environments Lelieveld, Jos Helleis, Frank Borrmann, Stephan Cheng, Yafang Drewnick, Frank Haug, Gerald Klimach, Thomas Sciare, Jean Su, Hang Pöschl, Ulrich Int J Environ Res Public Health Article The role of aerosolized SARS-CoV-2 viruses in airborne transmission of COVID-19 has been debated. The aerosols are transmitted through breathing and vocalization by infectious subjects. Some authors state that this represents the dominant route of spreading, while others dismiss the option. Here we present an adjustable algorithm to estimate the infection risk for different indoor environments, constrained by published data of human aerosol emissions, SARS-CoV-2 viral loads, infective dose and other parameters. We evaluate typical indoor settings such as an office, a classroom, choir practice, and a reception/party. Our results suggest that aerosols from highly infective subjects can effectively transmit COVID-19 in indoor environments. This “highly infective” category represents approximately 20% of the patients who tested positive for SARS-CoV-2. We find that “super infective” subjects, representing the top 5–10% of subjects with a positive test, plus an unknown fraction of less—but still highly infective, high aerosol-emitting subjects—may cause COVID-19 clusters (>10 infections). In general, active room ventilation and the ubiquitous wearing of face masks (i.e., by all subjects) may reduce the individual infection risk by a factor of five to ten, similar to high-volume, high-efficiency particulate air (HEPA) filtering. A particularly effective mitigation measure is the use of high-quality masks, which can drastically reduce the indoor infection risk through aerosols. MDPI 2020-11-03 2020-11 /pmc/articles/PMC7662582/ /pubmed/33153155 http://dx.doi.org/10.3390/ijerph17218114 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lelieveld, Jos Helleis, Frank Borrmann, Stephan Cheng, Yafang Drewnick, Frank Haug, Gerald Klimach, Thomas Sciare, Jean Su, Hang Pöschl, Ulrich Model Calculations of Aerosol Transmission and Infection Risk of COVID-19 in Indoor Environments |
title | Model Calculations of Aerosol Transmission and Infection Risk of COVID-19 in Indoor Environments |
title_full | Model Calculations of Aerosol Transmission and Infection Risk of COVID-19 in Indoor Environments |
title_fullStr | Model Calculations of Aerosol Transmission and Infection Risk of COVID-19 in Indoor Environments |
title_full_unstemmed | Model Calculations of Aerosol Transmission and Infection Risk of COVID-19 in Indoor Environments |
title_short | Model Calculations of Aerosol Transmission and Infection Risk of COVID-19 in Indoor Environments |
title_sort | model calculations of aerosol transmission and infection risk of covid-19 in indoor environments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662582/ https://www.ncbi.nlm.nih.gov/pubmed/33153155 http://dx.doi.org/10.3390/ijerph17218114 |
work_keys_str_mv | AT lelieveldjos modelcalculationsofaerosoltransmissionandinfectionriskofcovid19inindoorenvironments AT helleisfrank modelcalculationsofaerosoltransmissionandinfectionriskofcovid19inindoorenvironments AT borrmannstephan modelcalculationsofaerosoltransmissionandinfectionriskofcovid19inindoorenvironments AT chengyafang modelcalculationsofaerosoltransmissionandinfectionriskofcovid19inindoorenvironments AT drewnickfrank modelcalculationsofaerosoltransmissionandinfectionriskofcovid19inindoorenvironments AT hauggerald modelcalculationsofaerosoltransmissionandinfectionriskofcovid19inindoorenvironments AT klimachthomas modelcalculationsofaerosoltransmissionandinfectionriskofcovid19inindoorenvironments AT sciarejean modelcalculationsofaerosoltransmissionandinfectionriskofcovid19inindoorenvironments AT suhang modelcalculationsofaerosoltransmissionandinfectionriskofcovid19inindoorenvironments AT poschlulrich modelcalculationsofaerosoltransmissionandinfectionriskofcovid19inindoorenvironments |