Objectives Accurate population-level assessment of the coronavirus disease 2019 (COVID-19) burden is fundamental for navigating the path forward during the ongoing pandemic, but current knowledge is scant. We conducted the first nationwide population study using a probability-based sample to assess active severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, combined with a longitudinal follow-up of the entire cohort over the next 6 months. Baseline SARS-CoV-2 RNA testing results and the first 3-week follow-up results are presented. Methods A probability-based sample of the Slovenian population comprising data from 2.1 million people was selected from the Central Population Register ( n = 3000). SARS-CoV-2 RNA was detected in nasopharyngeal samples using the cobas 6800 SARS-CoV-2 assay. Each participant filled in a detailed baseline questionnaire with basic sociodemographic data and detailed medical history compatible with COVID-19. After 3 weeks, participants were interviewed for the presence of COVID-19–compatible clinical symptoms and signs, including in household members, and offered immediate testing for SARS-CoV-2 RNA if indicated. Results A total of 1368 individuals (46%) consented to participate and completed the questionnaire. Two of 1366 participants tested positive for SARS-CoV-2 RNA (prevalence 0.15%; posterior mean 0.18%, 95% Bayesian confidence interval 0.03–0.47; 95% highest density region (HDR) 0.01–0.41). No newly diagnosed infections occurred in the cohort during the first 3-week follow-up round. Conclusions The low prevalence of active COVID-19 infections found in this study accurately predicted the dynamics of the epidemic in Slovenia over the subsequent month. Properly designed and timely executed studies using probability-based samples combined with routine target-testing figures provide reliable data that can be used to make informed decisions on relaxing or strengthening disease mitigation strategies.

Objectives Seroprevalence surveys provide crucial information on cumulative severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exposure. This Slovenian nationwide population study is the first longitudinal 6-month serosurvey using probability-based samples across all age categories. Methods Each participant supplied two blood samples: 1316 samples in April 2020 (first round) and 1211 in October/November 2020 (second round). The first-round sera were tested using Euroimmun Anti-SARS-CoV-2 ELISA IgG (ELISA) and, because of uncertain estimates, were retested using Elecsys Anti-SARS-CoV-2 (Elecsys-N) and Elecsys Anti-SARS-CoV-2 S (Elecsys-S). The second-round sera were concomitantly tested using Elecsys-N/Elecsys-S. Results The populations of both rounds matched the overall population ( n = 3000), with minor settlement type and age differences. The first-round seroprevalence corrected for the ELISA manufacturer's specificity was 2.78% (95% highest density interval [HDI] 1.81%–3.80%), corrected using pooled ELISA specificity calculated from published data 0.93% (95% CI 0.00%–2.65%), and based on Elecsys-N/Elecsys-S results 0.87% (95% HDI 0.40%–1.38%). The second-round unadjusted lower limit of seroprevalence on 11 November 2020 was 4.06% (95% HDI 2.97%–5.16%) and on 3 October 2020, unadjusted upper limit was 4.29% (95% HDI 3.18%–5.47%). Conclusions SARS-CoV-2 seroprevalence in Slovenia increased four-fold from late April to October/November 2020, mainly due to a devastating second wave. Significant logistic/methodological challenges accompanied both rounds. The main lessons learned were a need for caution when relying on manufacturer-generated assay evaluation data, the importance of multiple manufacturer-independent assay performance assessments, the need for concomitant use of highly-specific serological assays targeting different SARS-CoV-2 proteins in serosurveys conducted in low-prevalence settings or during epidemic exponential growth and the usefulness of a Bayesian approach for overcoming complex methodological challenges.

Izvorni znanstveni radPrimljeno: 4. 4. 2013.The article addresses the concept of landscape identity considered from a new perspective -a perspective of five fundamental human senses: sight, hearing, smell, touch and taste. Landscape identity is mostly understood as a phenomenon based on its distinguishable visual characteristics. However, human environment is a multisensory medium, rich in information from all fields of perception. Equally, a man is a multisensory being and experiences his environment with multiple senses. The underlying assumption is that human identification with places does not only arise from the interaction with their visual, but also with their auditory, olfactory, tactile, and even gustatory properties. As a research area, the Dalmatia region in Croatia has been chosen. By the content analysis method, applied on samples of lyric poems and promotional (mostly tourist) materials, the aim was to examine what features, visual and non-visual, the social conception of Dalmatian landscape is based on. The results show that landscape identity of Dalmatia, in terms of sensory perception, is rather diverse. Understanding landscape identity as a sensory multidimensional phenomenon opens many new questions and possibilities in the field of landscape theory and practice.

Background: Historically speaking, public health systems were established to guarantee every citizen equal access to health care and to separate the issue of an individual's health from issues of material welbeing. Using social science methodology, the study set out to explore how successful the welfare system in Slovenia was in achieving this goal during the last three decades, i.e. to what extent social inequalities in Slovenia are being reproduced as health inequalities. Methods: The study is based on six waves of Slovenian Public Opinion surveys carried out between 1981 and 2011 on representative samples of the adult Slovenian population. The main dependent variable is the respondent's selfassessed health and the main independent variable is his or her socio-economic status. The relationship between them was examined using Chi-square tests and regression analysis. Results: The thirty year trend shows persisting inequalities in health as throughout the entire period, self-assessed health is significantly lower at the bottom of the educational and income scale. The largest differences between social strata are observed in the 30 to 60 age group when labour market pressures are most pronounced. Conclusions:The results indicate that inequalities in health are almost impossible to eliminate as long as their deeper causes lie in social inequality. An additional factor that decreases self-assessed health in Slovenia compared to Western Europe is the low level of trust in people and social institutions, which is the likely reason why the relatively favourable statistical picture of social inequalities is not translated into an equally favourable picture of subjective health.

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