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

Ngoc-Du Martin Luong (1) , Laurent Guillier (1) , Sandra Martin-Latil (2) , Christophe Batejat (3) , India Leclercq (3) , Christine Druesne (4) , Moez Sanaa (1) , Estelle Chaix (1)

1 DER - Direction de l'Evaluation des Risques
2 LSAl - Laboratoire de sécurité des aliments de Maisons-Alfort
3 CIBU - Cellule d'Intervention Biologique d'Urgence (Centre National de Référence) - Laboratory for Urgent Response to Biological Threats (National Reference Center)
4 DfRV - Direction du financement de la Recherche et Veille scientifique

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.

Mots clés: SARS-CoV-2

Domaines: Alimentation et Nutrition

Ngoc-Du Martin Luong, Laurent Guillier, Sandra Martin-Latil, Christophe Batejat, India Leclercq, et al.. Database of SARS-CoV-2 and coronaviruses kinetics relevant for assessing persistence in food processing plants. Scientific Data , 2022, 9 (1), pp.654. ⟨10.1038/s41597-022-01763-y⟩. ⟨anses-03832274⟩