Your browser doesn't support javascript.
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.
  • Luong NM; Risk Assessment Department, ANSES, Maisons-Alfort, France.
  • Guillier L; Risk Assessment Department, ANSES, Maisons-Alfort, France. laurent.guillier@anses.fr.
  • Martin-Latil S; Laboratory for Food Safety, ANSES, University of Paris-EST, Maisons-Alfort, France.
  • Batejat C; Institut Pasteur, Université Paris Cité, Environment and Infectious Risks Unit, Laboratory for Urgent Response to Biological Threats (CIBU), Paris, France.
  • Leclercq I; Institut Pasteur, Université Paris Cité, Environment and Infectious Risks Unit, Laboratory for Urgent Response to Biological Threats (CIBU), Paris, France.
  • Druesne C; Research fundings & scientific watch department, ANSES, Maisons-Alfort, France.
  • Sanaa M; Risk Assessment Department, ANSES, Maisons-Alfort, France.
  • Chaix E; Risk Assessment Department, ANSES, Maisons-Alfort, France.
Sci Data ; 9(1): 654, 2022 10 26.
Article in English | MEDLINE | ID: covidwho-2087255
ABSTRACT
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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Sci Data Year: 2022 Document Type: Article Affiliation country: S41597-022-01763-y

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Sci Data Year: 2022 Document Type: Article Affiliation country: S41597-022-01763-y