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Mat-O-Covid: Validation of a SARS-CoV-2 Job Exposure Matrix (JEM) Using Data from a National Compensation System for Occupational Covid-19

Authors :
Alexis, Descatha
Grace, Sembajwe
Fabien, Gilbert
Mat-O-Covid Investigation Group
Marc, Fadel
Institut de recherche en santé, environnement et travail (Irset)
Université d'Angers (UA)-Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )
Centre Hospitalier Universitaire d'Angers (CHU Angers)
PRES Université Nantes Angers Le Mans (UNAM)
Hofstra University [Hempstead]
REACTing Inserm ('Mat-O-Covid project')
ANRS (Emerging Infectious Diseases since 2021)
Regional Public Fund ('TEC-TOP project'): Pays-de-la-Loire Region
Angers Loire Metropole, Univ Angers, CHU Angers
Chard-Hutchinson, Xavier
Source :
International Journal of Environmental Research and Public Health, International Journal of Environmental Research and Public Health, 2022, 19 (9), ⟨10.3390/ijerph19095733⟩, International Journal of Environmental Research and Public Health; Volume 19; Issue 9; Pages: 5733
Publication Year :
2022
Publisher :
Preprints, 2022.

Abstract

Background. We aimed to assess the validity of the Mat-O-Covid Job Exposure Matrix (JEM) on SARS-CoV2 using compensation data from the French National Health Insurance compensation system for occupational-related COVID-19. Methods. Deidentified compensation data for occupational COVID-19 in France were obtained between August 2020 and August 2021. The acceptance was considered as the reference. Mat-O-Covid is an expert based French JEM on workplace exposure to SARS-CoV2. Bivariate and multivariate models were used to study the association between the exposure assessed by Mat-O-Covid and the reference, as well as the Area Under Curves (AUC), sensitivity, specificity, predictive values, and likelihood ratios. Results. In the 1140 cases included, there was a close association between the Mat-O-Covid index and the reference (p

Details

Language :
English
ISSN :
16617827 and 16604601
Database :
OpenAIRE
Journal :
International Journal of Environmental Research and Public Health, International Journal of Environmental Research and Public Health, 2022, 19 (9), ⟨10.3390/ijerph19095733⟩, International Journal of Environmental Research and Public Health; Volume 19; Issue 9; Pages: 5733
Accession number :
edsair.doi.dedup.....d6dfccf53e470dbb8e827e207eab2319
Full Text :
https://doi.org/10.3390/ijerph19095733⟩