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© Research
Publication : PLoS computational biology

Detailed contact data and the dissemination of Staphylococcus aureus in hospitals

Scientific Fields
Diseases
Organisms
Applications
Technique

Published in PLoS computational biology - 19 Mar 2015

Obadia T, Silhol R, Opatowski L, Temime L, Legrand J, Thiébaut AC, Herrmann JL, Fleury É, Guillemot D, Boëlle PY,

Link to Pubmed [PMID] – 25789632

PLoS Comput. Biol. 2015 Mar;11(3):e1004170

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.

https://www.ncbi.nlm.nih.gov/pubmed/25789632