Detailed Contact Data and the Dissemination of Staphylococcus aureus in Hospitals

Thomas Obadia, Romain Silhol, Lulla Opatowski, Laura Temime, Judith Legrand, Anne C M Thiébaut, Jean-Louis Herrmann, Éric Fleury, Didier Guillemot, Pierre-Yves Boëlle and on behalf of the I-Bird Study Group

PLOS Computational Biology, 2015, vol. 11, issue 3, 1-16

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

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pcbi00:1004170

DOI: 10.1371/journal.pcbi.1004170

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