{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Duval A"],"funding":["Investissement d'avenir program"],"pagination":["e1006496"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6542504"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["15(5)"],"pubmed_abstract":["Antibiotic-resistance of hospital-acquired infections is a major public health issue. The worldwide emergence and diffusion of extended-spectrum β-lactamase (ESBL)-producing Enterobacteriaceae, including Escherichia coli (ESBL-EC) and Klebsiella pneumoniae (ESBL-KP), is of particular concern. Preventing their nosocomial spread requires understanding their transmission. Using Close Proximity Interactions (CPIs), measured by wearable sensors, and weekly ESBL-EC-and ESBL-KP-carriage data, we traced their possible transmission paths among 329 patients in a 200-bed long-term care facility over 4 months. Based on phenotypically defined resistance profiles to 12 antibiotics only, new bacterial acquisitions were tracked. Extending a previously proposed statistical method, the CPI network's ability"],"journal":["PLoS computational biology"],"pubmed_title":["Close proximity interactions support transmission of ESBL-K. pneumoniae but not ESBL-E. coli in healthcare settings."],"pmcid":["PMC6542504"],"funding_grant_id":["ANR-10-LABX-62-IBEID"],"pubmed_authors":["Fleury E","Guillemot D","Temime L","Boelle PY","Obadia T","Opatowski L","Herrmann JL","Duval A","i-Bird Study group"],"additional_accession":[]},"is_claimable":false,"name":"Close proximity interactions support transmission of ESBL-K. pneumoniae but not ESBL-E. coli in healthcare settings.","description":"Antibiotic-resistance of hospital-acquired infections is a major public health issue. The worldwide emergence and diffusion of extended-spectrum β-lactamase (ESBL)-producing Enterobacteriaceae, including Escherichia coli (ESBL-EC) and Klebsiella pneumoniae (ESBL-KP), is of particular concern. Preventing their nosocomial spread requires understanding their transmission. Using Close Proximity Interactions (CPIs), measured by wearable sensors, and weekly ESBL-EC-and ESBL-KP-carriage data, we traced their possible transmission paths among 329 patients in a 200-bed long-term care facility over 4 months. Based on phenotypically defined resistance profiles to 12 antibiotics only, new bacterial acquisitions were tracked. Extending a previously proposed statistical method, the CPI network's ability","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019 May","modification":"2026-07-14T15:04:09.511Z","creation":"2019-07-24T07:07:08Z"},"accession":"S-EPMC6542504","cross_references":{"pubmed":["31145725"],"doi":["10.1371/journal.pcbi.1006496"]}}