Detailed Contact Data and the Dissemination of Staphylococcus aureus in Hospitals

Abstract : Close proximity interactions (CPIs) measured by wireless electronic devices are increasingly used in epidemiological models. However, no evidence supports that electronically collected CPIs inform on the contacts leading to transmission. Here, we analyzed Staphylococcus aureus carriage and CPIs recorded simultaneously in a long-term care facility for 4 months in 329 patients and 261 healthcare workers to test this hypothesis. In the broad diversity of isolated S. aureus strains, 173 transmission events were observed between participants. The joint analysis of carriage and CPIs showed that CPI paths linking incident cases to other individuals carrying the same strain (i.e. possible infectors) had fewer intermediaries than predicted by chance (P < 0.001), a feature that simulations showed to be the signature of transmission along CPIs. Additional analyses revealed a higher dissemination risk between patients via healthcare workers than via other patients. In conclusion, S. aureus transmission was consistent with contacts defined by electronically collected CPIs, illustrating their potential as a tool to control hospital-acquired infections and help direct surveillance.
Type de document :
Article dans une revue
PLoS Computational Biology, Public Library of Science, 2015, 11 (3), pp.e1004170. 〈10.1371/journal.pcbi.1004170〉
Liste complète des métadonnées

Littérature citée [38 références]  Voir  Masquer  Télécharger

https://hal.sorbonne-universite.fr/hal-01134050
Contributeur : Gestionnaire Hal-Upmc <>
Soumis le : mercredi 10 février 2016 - 15:30:14
Dernière modification le : mardi 12 février 2019 - 18:06:01

Fichier

journal.pcbi.1004170.pdf
Publication financée par une institution

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Thomas Obadia, Romain Silhol, Lulla Opatowski, Laura Temime, Judith Legrand, et al.. Detailed Contact Data and the Dissemination of Staphylococcus aureus in Hospitals. PLoS Computational Biology, Public Library of Science, 2015, 11 (3), pp.e1004170. 〈10.1371/journal.pcbi.1004170〉. 〈hal-01134050v2〉

Partager

Métriques

Consultations de la notice

745

Téléchargements de fichiers

906