Evaluating hospital infection control measures for antimicrobial-resistant pathogens using stochastic transmission models: Application to vancomycin-resistant enterococci in intensive care units
dc.contributor.author | Wei, Yinghui | |
dc.contributor.author | Kypraios, T | |
dc.contributor.author | O’Neill, PD | |
dc.contributor.author | Huang, SS | |
dc.contributor.author | Rifas-Shiman, SL | |
dc.contributor.author | Cooper, BS | |
dc.date.accessioned | 2016-11-19T11:27:26Z | |
dc.date.available | 2016-11-19T11:27:26Z | |
dc.date.issued | 2018-01 | |
dc.identifier.issn | 0962-2802 | |
dc.identifier.issn | 1477-0334 | |
dc.identifier.uri | http://hdl.handle.net/10026.1/6764 | |
dc.description.abstract |
<jats:p> Nosocomial pathogens such as methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant Enterococci (VRE) are the cause of significant morbidity and mortality among hospital patients. It is important to be able to assess the efficacy of control measures using data on patient outcomes. In this paper, we describe methods for analysing such data using patient-level stochastic models which seek to describe the underlying unobserved process of transmission. The methods are applied to detailed longitudinal patient-level data on vancomycin-resistant Enterococci from a study in a US hospital with eight intensive care units (ICUs). The data comprise admission and discharge dates, dates and results of screening tests, and dates during which precautionary measures were in place for each patient during the study period. Results include estimates of the efficacy of the control measures, the proportion of unobserved patients colonized with vancomycin-resistant Enterococci, and the proportion of patients colonized on admission. </jats:p> | |
dc.format.extent | 269-285 | |
dc.format.medium | Print-Electronic | |
dc.language | en | |
dc.language.iso | eng | |
dc.publisher | SAGE Publications | |
dc.subject | Antimicrobial resistance | |
dc.subject | Bayesian methods | |
dc.subject | healthcare-associated infections | |
dc.subject | MRSA | |
dc.subject | vancomycin-resistant Enterococci | |
dc.title | Evaluating hospital infection control measures for antimicrobial-resistant pathogens using stochastic transmission models: Application to vancomycin-resistant enterococci in intensive care units | |
dc.type | journal-article | |
dc.type | Journal Article | |
dc.type | Research Support, N.I.H., Extramural | |
dc.type | Research Support, Non-U.S. Gov't | |
dc.type | Research Support, U.S. Gov't, P.H.S. | |
plymouth.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000419874400019&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008 | |
plymouth.issue | 1 | |
plymouth.volume | 27 | |
plymouth.publication-status | Published | |
plymouth.journal | Statistical Methods in Medical Research | |
dc.identifier.doi | 10.1177/0962280215627299 | |
plymouth.organisational-group | /Plymouth | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/EXTENDED UoA 10 - Mathematical Sciences | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/UoA10 Mathematical Sciences | |
plymouth.organisational-group | /Plymouth/Users by role | |
plymouth.organisational-group | /Plymouth/Users by role/Academics | |
plymouth.organisational-group | /Plymouth/Users by role/Researchers in ResearchFish submission | |
dc.publisher.place | England | |
dc.identifier.eissn | 1477-0334 | |
dc.rights.embargoperiod | Not known | |
rioxxterms.versionofrecord | 10.1177/0962280215627299 | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
rioxxterms.type | Journal Article/Review | |
plymouth.oa-location | https://arxiv.org/pdf/1602.04721v1.pdf |