Varicella susceptibility and transmission dynamics in Slovenia

<p>Abstract</p> <p>Background</p> <p>A cross-sectional, age-stratified study was conducted to determine varicella-zoster seroprevalence and force of infection in Slovenia.</p> <p>Methods</p> <p>3689 serum samples were tested for VZV IgG antibodies with an enzyme immunoassay. Semiparametric and parametric modelling were used to estimate the force of infection.</p> <p>Results</p> <p>Overall, 85.6% of serum samples were seropositive. Age-specific prevalence rose rapidly in preschool children and over 90% of 8 years old tested positive for VZV. However, 2.8% of serum samples among women of childbearing age were seronegative. Semiparametric modelling yielded force of infection estimates of 0.182 (95% CI 0.158-0.206), 0.367 (95% CI 0.285-0.448) and 0.008 (95% CI 0.0-0.032) for age groups 0.5- < 6, 6-11 and ≥12 years, respectively, and 0.175 (95% CI 0.147-0.202), 0.391 (95% CI 0.303-0.480) and 0.025 (95% CI 0.003-0.046) for age groups 0.5- < 5, 5-9 and ≥10 years, respectively.</p> <p>Conclusions</p> <p>Regardless of the age grouping used, the highest transmission occurred in children in their first years of school.</p

Kratek oris računalniškega prevajanja

The article gives a short outline of existing computer translation systems. It distinguishes between conventional (classic) or rule-based and analogous types.V članku obravnava avtor računalniško prevajanje, in sicer s kratkim orisom sistemov za tako prevajanje. Te loči v dve skupini: konvencionalne (klasične) oziroma na pravila oprte (rule-based) in na analogne sisteme

Robustness of the fisher\u27s discriminant function to skew-curved normal distribution

Discriminant analysis is a widely used multivariate technique with Fisher\u27s discriminant analysis (FDA) being its most venerable form. FDA assumes equality of population covariance matrices, but does not require multivariate normality. Nevertheless, the latter is desirable for optimal classification. To test FDA\u27s performance under non-normality caused by skewness the method was assessed with simulation based on a skew-curved normal (SCN) distribution belonging to the family of skew-generalised normal distributionsadditionally, effects of sample size and rotation were evaluated. Apparent error rate (APER) was used as the measure of classification performance. The analysis was performed using ANOVA with (transformed) mean APER as the dependent variable. Results show the FDA to be highly robust to skewness introduced into the model via the SCN distributed simulated data

The first nationwide study on facing and solving ethical dilemmas among healthcare professionals in Slovenia

Background Healthcare professionals (HCPs), patients and families are often faced with ethical dilemmas. The role of healthcare ethics committees (HECs) is to offer support in these situations. Aim The primary objective was to study how often HCPs encounter ethical dilemmas. The secondary objective was to identify the main types of ethical dilemmas encountered and how HCPs solve them. Subjects and methods We conducted a cross-sectional, survey-based study among HCPs in 14 Slovenian hospitals. A questionnaire was designed and validated by HCPs who were selected by proportional stratified sampling. Data collection took place between April 2015 and April 2016. Results The final sample size was n = 485 (385 or 79.4%, female). The response rates for HCPs working in secondary and tertiary level institutions were 45% and 51%, respectively. Three hundred and forty (70.4%) of 485 HCPs (very) frequently encountered ethical dilemmas. Frequent ethical dilemmas were waiting periods for diagnostics or treatment, suboptimal working conditions due to poor interpersonal relations on the ward, preserving patients’ dignity, and relations between HCPs and patients. Physicians and nurses working in secondary level institutions, compared to their colleagues working in tertiary level institutions, more frequently encountered ethical dilemmas with respect to preserving patients’ dignity, protecting patients’ information, and relations between HCPs and patients. In terms of solutions, all HCPs most frequently discussed ethical dilemmas with co-workers (colleagues), and with the head of the department. According to HCPs, the most important role of HECs is staff education, followed by improving communication, and reviewing difficult ethical cases. Conclusions Waiting periods for diagnostics and treatment and suboptimal working conditions due to poor interpersonal relations are considered to be among the most important ethical issues by HCPs in Slovenian hospitals. The most important role of HECs is staff education, improving communication, and reviewing difficult ethical cases