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Database of SARS-CoV-2 and coronaviruses kinetics relevant for assessing persistence in food processing plants

SARS-CoV-2 (Severe acute respiratory syndrome coronavirus 2), a virus causing severe acute respiratory disease in humans, emerged in late 2019. This respiratory virus can spread via aerosols, fomites, contaminated hands or surfaces as for other coronaviruses. Studying their persistence under differe...

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Autores principales: Luong, Ngoc-Du Martin, Guillier, Laurent, Martin-Latil, Sandra, Batejat, Christophe, Leclercq, India, Druesne, Christine, Sanaa, Moez, Chaix, Estelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606249/
https://www.ncbi.nlm.nih.gov/pubmed/36289246
http://dx.doi.org/10.1038/s41597-022-01763-y
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author Luong, Ngoc-Du Martin
Guillier, Laurent
Martin-Latil, Sandra
Batejat, Christophe
Leclercq, India
Druesne, Christine
Sanaa, Moez
Chaix, Estelle
author_facet Luong, Ngoc-Du Martin
Guillier, Laurent
Martin-Latil, Sandra
Batejat, Christophe
Leclercq, India
Druesne, Christine
Sanaa, Moez
Chaix, Estelle
author_sort Luong, Ngoc-Du Martin
collection PubMed
description SARS-CoV-2 (Severe acute respiratory syndrome coronavirus 2), a virus causing severe acute respiratory disease in humans, emerged in late 2019. This respiratory virus can spread via aerosols, fomites, contaminated hands or surfaces as for other coronaviruses. Studying their persistence under different environmental conditions represents a key step for better understanding the virus transmission. This work aimed to present a reproducible procedure for collecting data of stability and inactivation kinetics from the scientific literature. The aim was to identify data useful for characterizing the persistence of viruses in the food production plants. As a result, a large dataset related to persistence on matrices or in liquid media under different environmental conditions is presented. This procedure, combining bibliographic survey, data digitalization techniques and predictive microbiological modelling, identified 65 research articles providing 455 coronaviruses kinetics. A ranking step as well as a technical validation with a Gage Repeatability & Reproducibility process were performed to check the quality of the kinetics. All data were deposited in public repositories for future uses by other researchers.
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spelling pubmed-96062492022-10-28 Database of SARS-CoV-2 and coronaviruses kinetics relevant for assessing persistence in food processing plants Luong, Ngoc-Du Martin Guillier, Laurent Martin-Latil, Sandra Batejat, Christophe Leclercq, India Druesne, Christine Sanaa, Moez Chaix, Estelle Sci Data Data Descriptor SARS-CoV-2 (Severe acute respiratory syndrome coronavirus 2), a virus causing severe acute respiratory disease in humans, emerged in late 2019. This respiratory virus can spread via aerosols, fomites, contaminated hands or surfaces as for other coronaviruses. Studying their persistence under different environmental conditions represents a key step for better understanding the virus transmission. This work aimed to present a reproducible procedure for collecting data of stability and inactivation kinetics from the scientific literature. The aim was to identify data useful for characterizing the persistence of viruses in the food production plants. As a result, a large dataset related to persistence on matrices or in liquid media under different environmental conditions is presented. This procedure, combining bibliographic survey, data digitalization techniques and predictive microbiological modelling, identified 65 research articles providing 455 coronaviruses kinetics. A ranking step as well as a technical validation with a Gage Repeatability & Reproducibility process were performed to check the quality of the kinetics. All data were deposited in public repositories for future uses by other researchers. Nature Publishing Group UK 2022-10-26 /pmc/articles/PMC9606249/ /pubmed/36289246 http://dx.doi.org/10.1038/s41597-022-01763-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Luong, Ngoc-Du Martin
Guillier, Laurent
Martin-Latil, Sandra
Batejat, Christophe
Leclercq, India
Druesne, Christine
Sanaa, Moez
Chaix, Estelle
Database of SARS-CoV-2 and coronaviruses kinetics relevant for assessing persistence in food processing plants
title Database of SARS-CoV-2 and coronaviruses kinetics relevant for assessing persistence in food processing plants
title_full Database of SARS-CoV-2 and coronaviruses kinetics relevant for assessing persistence in food processing plants
title_fullStr Database of SARS-CoV-2 and coronaviruses kinetics relevant for assessing persistence in food processing plants
title_full_unstemmed Database of SARS-CoV-2 and coronaviruses kinetics relevant for assessing persistence in food processing plants
title_short Database of SARS-CoV-2 and coronaviruses kinetics relevant for assessing persistence in food processing plants
title_sort database of sars-cov-2 and coronaviruses kinetics relevant for assessing persistence in food processing plants
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606249/
https://www.ncbi.nlm.nih.gov/pubmed/36289246
http://dx.doi.org/10.1038/s41597-022-01763-y
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