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About:
Modelling the thermal inactivation of viruses from the Coronaviridae family in suspensions or on surfaces with various relative humidities.
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covidontheweb.inria.fr
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Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
Modelling the thermal inactivation of viruses from the Coronaviridae family in suspensions or on surfaces with various relative humidities.
Creator
Pavio, Nicole
Le Poder, Sophie
Batéjat, Christophe
Martin-Latil, Sandra
Biot, Fabrice
Thébault, Anne
Group,
Sanaa, Moez
Chaix, Estelle
Guillier, Laurent
Koch, Lionel
Schaffner, Don
Source
MedRxiv
abstract
Temperature and relative humidity are major factors determining virus inactivation in the environment. This article reviews inactivation data of 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 (time to obtain a log10 reduction of virus infectivity), including values for 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 dataset 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 new coronavirus strains.
has issue date
2020-05-29
(
xsd:dateTime
)
bibo:doi
10.1101/2020.05.26.20114025
has license
medrxiv
sha1sum (hex)
49d0e69a6342371857a157595bfdf4bb7253205c
schema:url
https://doi.org/10.1101/2020.05.26.20114025
resource representing a document's title
Modelling the thermal inactivation of viruses from the Coronaviridae family in suspensions or on surfaces with various relative humidities.
resource representing a document's body
covid:49d0e69a6342371857a157595bfdf4bb7253205c#body_text
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