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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2020
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.
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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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