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1.
Sci Rep ; 10(1): 2619, 2020 02 14.
Article in English | MEDLINE | ID: mdl-32060342

ABSTRACT

We observed an increase in methicillin-susceptible Staphylococcus aureus (MSSA) infections at a Dutch neonatal intensive care unit. Weekly neonatal MSSA carriage surveillance and cross-sectional screenings of health care workers (HCWs) were available for outbreak tracing. Traditional clustering of MSSA isolates by spa typing and Multiple-Locus Variable number tandem repeat Analysis (MLVA) suggested that nosocomial transmission had contributed to the infections. We investigated whether whole-genome sequencing (WGS) of MSSA surveillance would provide additional evidence for transmission. MSSA isolates from neonatal infections, carriage surveillance, and HCWs were subjected to WGS and bioinformatic analysis for identification and localization of high-quality single nucleotide polymorphisms, and in-depth analysis of subsets of isolates. By measuring the genetic diversity in background surveillance, we defined transmission-level relatedness and identified isolates that had been unjustly assigned to clusters based on MLVA, while spa typing was concordant but of insufficient resolution. Detailing particular subsets of isolates provided evidence that HCWs were involved in multiple outbreaks, yet it alleviated concerns about one particular HCW. The improved resolution and accuracy of genomic outbreak analyses substantially altered the view on outbreaks, along with apposite measures. Therefore, inclusion of the circulating background population has the potential to overcome current issues in genomic outbreak inference.


Subject(s)
Cross Infection/epidemiology , Methicillin-Resistant Staphylococcus aureus/genetics , Minisatellite Repeats , Staphylococcal Infections/epidemiology , Bacterial Typing Techniques , Cross Infection/microbiology , Cross Infection/transmission , Cross-Sectional Studies , Disease Outbreaks , Humans , Infant, Newborn , Intensive Care Units, Neonatal , Methicillin-Resistant Staphylococcus aureus/isolation & purification , Molecular Epidemiology , Polymorphism, Single Nucleotide , Staphylococcal Infections/microbiology , Staphylococcal Infections/transmission , Whole Genome Sequencing
2.
J Hosp Infect ; 77(4): 327-31, 2011 Apr.
Article in English | MEDLINE | ID: mdl-21316803

ABSTRACT

A questionnaire study was performed in all eight University Medical Centers in The Netherlands to determine the predictors of influenza vaccination compliance in hospital-based healthcare workers (HCWs). Demographical, behavioural and organisational determinants were assessed based on behavioural and implementation models. Multivariable regression analysis was applied to assess the independent predictors for influenza vaccine uptake. Age >40 years, the presence of a chronic illness, awareness of personal risk and awareness of risk of infecting patients, trust in the effectiveness of the vaccine to reduce the risk of infecting patients, the HCWs' duty to do no harm and their duty to ensure continuity of care, finding vaccination useful despite the constant flow of visitors and having knowledge of the Health Council's advice, social influence and convenient time for vaccination were all independently associated with vaccine uptake. The accuracy of the prediction model was very high (area under the receiver operating curve: 0.95). Intervention programmes to increase influenza vaccine uptake among HCWs should target the relevant determinants identified in this study.


Subject(s)
Attitude of Health Personnel , Cross Infection/prevention & control , Health Personnel , Influenza Vaccines/administration & dosage , Influenza, Human/prevention & control , Vaccination/statistics & numerical data , Adult , Aged , Female , Guideline Adherence/statistics & numerical data , Hospitals , Humans , Male , Middle Aged , Models, Statistical , Netherlands , Surveys and Questionnaires
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