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Modeling the Inactivation of Viruses from the Coronaviridae Family in Response to Temperature and Relative Humidity in Suspensions or on Surfaces
Temperature and relative humidity are major factors determining virus inactivation in the environment. This article reviews inactivation data regarding coronaviruses on surfaces and in liquids from published studies and develops secondary models to predict coronaviruses inactivation as a function of...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7480392/ https://www.ncbi.nlm.nih.gov/pubmed/32680860 http://dx.doi.org/10.1128/AEM.01244-20 |
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author | Guillier, Laurent Martin-Latil, Sandra Chaix, Estelle Thébault, Anne Pavio, Nicole Le Poder, Sophie Batéjat, Christophe Biot, Fabrice Koch, Lionel Schaffner, Donald W. Sanaa, Moez |
author_facet | Guillier, Laurent Martin-Latil, Sandra Chaix, Estelle Thébault, Anne Pavio, Nicole Le Poder, Sophie Batéjat, Christophe Biot, Fabrice Koch, Lionel Schaffner, Donald W. Sanaa, Moez |
author_sort | Guillier, Laurent |
collection | PubMed |
description | Temperature and relative humidity are major factors determining virus inactivation in the environment. This article reviews inactivation data regarding coronaviruses on surfaces and in liquids from published studies and develops secondary models to predict coronaviruses inactivation as a function of temperature and relative humidity. A total of 102 D values (i.e., the time to obtain a log(10) reduction of virus infectivity), including values for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), were collected from 26 published studies. The values obtained from the different coronaviruses and studies were found to be generally consistent. Five different models were fitted to the global data set of D values. The most appropriate model considered temperature and relative humidity. A spreadsheet predicting the inactivation of coronaviruses and the associated uncertainty is presented and can be used to predict virus inactivation for untested temperatures, time points, or any coronavirus strains belonging to Alphacoronavirus and Betacoronavirus genera. IMPORTANCE The prediction of the persistence of SARS-CoV-2 on fomites is essential in investigating the importance of contact transmission. This study collects available information on inactivation kinetics of coronaviruses in both solid and liquid fomites and creates a mathematical model for the impact of temperature and relative humidity on virus persistence. The predictions of the model can support more robust decision‐making and could be useful in various public health contexts. A calculator for the natural clearance of SARS-CoV-2 depending on temperature and relative humidity could be a valuable operational tool for public authorities. |
format | Online Article Text |
id | pubmed-7480392 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-74803922020-09-25 Modeling the Inactivation of Viruses from the Coronaviridae Family in Response to Temperature and Relative Humidity in Suspensions or on Surfaces Guillier, Laurent Martin-Latil, Sandra Chaix, Estelle Thébault, Anne Pavio, Nicole Le Poder, Sophie Batéjat, Christophe Biot, Fabrice Koch, Lionel Schaffner, Donald W. Sanaa, Moez Appl Environ Microbiol Environmental Microbiology Temperature and relative humidity are major factors determining virus inactivation in the environment. This article reviews inactivation data regarding coronaviruses on surfaces and in liquids from published studies and develops secondary models to predict coronaviruses inactivation as a function of temperature and relative humidity. A total of 102 D values (i.e., the time to obtain a log(10) reduction of virus infectivity), including values for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), were collected from 26 published studies. The values obtained from the different coronaviruses and studies were found to be generally consistent. Five different models were fitted to the global data set of D values. The most appropriate model considered temperature and relative humidity. A spreadsheet predicting the inactivation of coronaviruses and the associated uncertainty is presented and can be used to predict virus inactivation for untested temperatures, time points, or any coronavirus strains belonging to Alphacoronavirus and Betacoronavirus genera. IMPORTANCE The prediction of the persistence of SARS-CoV-2 on fomites is essential in investigating the importance of contact transmission. This study collects available information on inactivation kinetics of coronaviruses in both solid and liquid fomites and creates a mathematical model for the impact of temperature and relative humidity on virus persistence. The predictions of the model can support more robust decision‐making and could be useful in various public health contexts. A calculator for the natural clearance of SARS-CoV-2 depending on temperature and relative humidity could be a valuable operational tool for public authorities. American Society for Microbiology 2020-09-01 /pmc/articles/PMC7480392/ /pubmed/32680860 http://dx.doi.org/10.1128/AEM.01244-20 Text en Copyright © 2020 American Society for Microbiology. All Rights Reserved (https://doi.org/10.1128/ASMCopyrightv2) . https://doi.org/10.1128/ASMCopyrightv2 This article is made available via the PMC Open Access Subset for unrestricted noncommercial re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Environmental Microbiology Guillier, Laurent Martin-Latil, Sandra Chaix, Estelle Thébault, Anne Pavio, Nicole Le Poder, Sophie Batéjat, Christophe Biot, Fabrice Koch, Lionel Schaffner, Donald W. Sanaa, Moez Modeling the Inactivation of Viruses from the Coronaviridae Family in Response to Temperature and Relative Humidity in Suspensions or on Surfaces |
title | Modeling the Inactivation of Viruses from the Coronaviridae Family in Response to Temperature and Relative Humidity in Suspensions or on Surfaces |
title_full | Modeling the Inactivation of Viruses from the Coronaviridae Family in Response to Temperature and Relative Humidity in Suspensions or on Surfaces |
title_fullStr | Modeling the Inactivation of Viruses from the Coronaviridae Family in Response to Temperature and Relative Humidity in Suspensions or on Surfaces |
title_full_unstemmed | Modeling the Inactivation of Viruses from the Coronaviridae Family in Response to Temperature and Relative Humidity in Suspensions or on Surfaces |
title_short | Modeling the Inactivation of Viruses from the Coronaviridae Family in Response to Temperature and Relative Humidity in Suspensions or on Surfaces |
title_sort | modeling the inactivation of viruses from the coronaviridae family in response to temperature and relative humidity in suspensions or on surfaces |
topic | Environmental Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7480392/ https://www.ncbi.nlm.nih.gov/pubmed/32680860 http://dx.doi.org/10.1128/AEM.01244-20 |
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