ArticlePLoS computational biology2015
Detailed contact data and the dissemination of Staphylococcus aureus in hospitals.
Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- Inferring asymptomatic carriers of antimicrobial-resistant organisms in hospitals using genomic, microbiological and patient mobility data.Nature communications · 2025Article
- Preserving friendships in school contacts: An algorithm to construct synthetic temporal networks for epidemic modelling.PLoS computational biology · 2024Article
- Conference report of the 2024 Antimicrobial Resistance Meeting.npj antimicrobials and resistance · 2024Article
- Using contact network dynamics to implement efficient interventions against pathogen spread in hospital settings: A modelling study.PLoS medicine · 2024Article
- An algorithm to build synthetic temporal contact networks based on close-proximity interactions data.PLoS computational biology · 2024Article
- Lineage frequency time series reveal elevated levels of genetic drift in SARS-CoV-2 transmission in England.PLoS pathogens · 2024Article
- Wearable Systems for Unveiling Collective Intelligence in Clinical Settings.Sensors (Basel, Switzerland) · 2023Review
- A Bayesian generative neural network framework for epidemic inference problems.Scientific reports · 2022Article
- Measuring close proximity interactions in summer camps during the COVID-19 pandemic.EPJ data science · 2022Article
- Mitigating COVID-19 outbreaks in workplaces and schools by hybrid telecommuting.PLoS computational biology · 2021Article
- Reorganization of nurse scheduling reduces the risk of healthcare associated infections.Scientific reports · 2021Article
- Assessing the role of inter-facility patient transfer in the spread of carbapenemase-producing Enterobacteriaceae: the case of France between 2012 and 2015.Scientific reports · 2020Article
- Interplay between competitive and cooperative interactions in a three-player pathogen system.Royal Society open science · 2020Article
- Close proximity interactions support transmission of ESBL-K. pneumoniae but not ESBL-E. coli in healthcare settings.PLoS computational biology · 2019Article
- Host contact dynamics shapes richness and dominance of pathogen strains.PLoS computational biology · 2019Article
- Transmission on empirical dynamic contact networks is influenced by data processing decisions.Epidemics · 2019Article
- Disease persistence on temporal contact networks accounting for heterogeneous infectious periods.Royal Society open science · 2019Article
- Article
- Measuring dynamic social contacts in a rehabilitation hospital: effect of wards, patient and staff characteristics.Scientific reports · 2018Article
- Individual movements and contact patterns in a Canadian long-term care facility.AIMS public health · 2018Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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