Infection by SARS CoV-2 in healthcare workers of a second level hospital

Background: From the first Covid-19 case in Playa del Carmen, 370 cases of infection have been reported in our staff until December 31, 2020. Material and Methods: Study in workers of the General Hospital who developed SARCOV-2 infection during the pandemic. A sample of 30 cases of both sexes with laboratory-confirmed infection was obtained. Descriptive statistics were used with measures of central tendency, dispersion and percentages. Results: In a sample of 30 workers there were 13 doctors, 6 nurses and 11 support workers. The age was obtained as a mean of 38.8 years and SD = 10.4. Only four risk factors were found. Of the 30 infected health workers, 27 were treated on an outpatient basis and three required hospitalization. Discussion: The main symptoms in health workers are alterations in the sensation of taste and smell, but unlike our study, was headache, fever and myalgia. Likewise, it has been observed that medical are the most affected, but in this study, it was support and the least affected was nursing personnel. There is no doubt that asymptomatic carriers are a serious disease transmission problem such that transmission between health workers by asymptomatic carriers is possible as was observed in this analysis. Keywords: COVID-19; SARS-CoV-2; Healthcare Workers; Nosocomial Transmission; Asymptomatic Carriers; Diagnostic Testing

Care related to peripheral intravenous catheterism in pediatrics performed by nursing technicians

ABSTRACT Objectives: to evaluate the care practice adopted by nursing technicians before, during and after peripheral intravenous catheterization performed in hospitalized children. Methods: cross-sectional and descriptive research, carried out in a pediatric hospital in Bahia through non-participatory observation of peripheral intravenous catheterizations performed in children by nursing technicians. Data was collected through an instrument containing care related to the moments before, during and after insertion of the catheter, calculating absolute and relative frequencies, measures of central tendency and dispersion. Results: there were 31 nursing technicians, who performed care mainly before intravenous catheterization. Nonconformities were identified regarding hand hygiene, use of a disposable mask, selection of the catheter insertion site, antisepsis, stabilization and catheter coverage. Conclusions: most of the precautions observed regarding peripheral intravenous catheterization are not in accordance with the standards of practice recommended by the national and international literature.

Uncertainty and Prior Assumptions, Rather Than Innate Logarithmic Encoding, Explain Nonlinear Number-to-Space Mapping

Mapping number to space is natural and spontaneous but often nonveridical, showing a clear compressive nonlinearity that is thought to reflect intrinsic logarithmic encoding of numerical values. We asked 78 adult participants to map dot arrays onto a number line across nine trials. Combining participant data, we confirmed that on the first trial, mapping was heavily compressed along the number line, but it became more linear across trials. Responses were well described by logarithmic compression but also by a parameter-free Bayesian model of central tendency, which quantitatively predicted the relationship between nonlinearity and number acuity. To experimentally test the Bayesian hypothesis, we asked 90 new participants to complete a color-line task in which they mapped noise-perturbed color patches to a “color line.” When there was more noise at the high end of the color line, the mapping was logarithmic, but it became exponential with noise at the low end. We conclude that the nonlinearity of both number and color mapping reflects contextual Bayesian inference processes rather than intrinsic logarithmic encoding.

Basic principles of descriptive statistics in medical research

Descriptive statistics provides tools to explore, summarize and illustrate the research data. In this tutorial we discuss two main types of data - qualitative and quantitative variables, and the most common approaches to characterize data distribution numerically and graphically. This article presents two important sets of parameters - measures of the central tendency (mean, median and mode) and variation (standard deviation, quantiles) and suggests the most suitable conditions for their application. We explain the difference between the general population and random samples, that are usually analyzed in studies. The parameters which characterize the sample (for example, measures of the central tendency) are point estimates, that can differ from the respective parameters of the general population. We introduce the concept of confidence interval - the range of values, which likely includes the true value of the parameter for the general population. All concepts and definitions are illustrated with examples, which simulate the research data.

The Blursday Database: Individuals’ Temporalities in Covid Times

The Covid-19 pandemic and associated lockdowns triggered worldwide changes in the daily routines of human experience. The Blursday database provides measures of subjective time and related processes from more than 2,800 participants (over 9 countries) tested on 14 questionnaires and 15 behavioral tasks during the Covid-19 pandemic. The easy-to-process database and all data collection tools are made fully accessible to researchers interested in studying the effects of social isolation on temporal information processing, time perspective, decision-making, sleep, metacognition, attention, memory, self-perception, and mindfulness. Blursday also includes vital quantitative statistics such as sleep patterns, personality traits, psychological well-being, and lockdown indices. Herein, we exemplify the use of the database with novel quantitative insights on the effects of lockdown (stringency, mobility) and subjective confinement on time perception (duration, passage of time, temporal distances). We show that new discoveries are possible as illustrated by an inter-individual central tendency effect in retrospective duration estimation.

Pedestrians’ overt attention affects time-to-arrival estimates of oncoming traffic

To navigate safely, pedestrians need to accurately perceive and predict other road users’ motion trajectories. Previous research has shown that the way visual information is sampled affects motion perception. Here we asked how overt attention affects time-to-arrival prediction of oncoming vehicles when viewed from a pedestrian’s point of view in a virtual road-crossing scenario. In three online experiments, we tested time-to-arrival prediction accuracies when observers pursued an approaching vehicle, fixated towards the road-crossing area, fixated towards the road close to the vehicle’s trajectory or were free to view the scene. When the observer-vehicle distance was high, participants displayed a central tendency in their predicted arrival times, indicating that vehicle speed was insufficiently taken into account when estimating its time-to-arrival. This was especially the case when participants fixated towards the road-crossing area, resulting in time-to-arrival overestimation of slow-moving vehicles and underestimation of fast-moving vehicles. The central tendency bias decreased when participants pursued the vehicle or when the eccentricity between the fixation location and the vehicle trajectory was reduced. Our results identify an unfavorable visual sampling strategy as a potential risk factor for pedestrians and suggest that overt attention is best directed towards the direction of the approaching traffic to derive accurate time-to-arrival estimates. To support pedestrian safety, we conclude that the promotion of adequate visual sampling strategies should be considered in both traffic planning and safety training measures.

The Spread of the Lengthening Time Effect of Emotions in Memory: A Test in the Setting of the Central Tendency Effect

The aim of the present study was to test how the perception of an emotional stimulus colors the temporal context of judgment and modifies the participant’s perception of the current neutral duration. Participants were given two ready-set-go tasks consisting of a distribution of short (0.5–0.9 s) or long sample intervals (0.9–1.3 s) with an overlapping 0.9-s interval. Additional intervals were introduced in the temporal distribution. These were neutral for the two temporal tasks in a control condition and emotional for the short, but not the long temporal task in an emotion condition. The results indicated a replication of a kind of Vierordt’s law in the control condition, i.e., the temporal judgment toward the mean of the distribution of sample intervals (central tendency effect). However, there was a shift in the central tendency effect in the emotion condition indicating a general bias in the form of an overestimation of current intervals linked to the presence of a few emotional stimuli among the previous intervals. This finding is entirely consistent with timing mechanisms driven by prior duration context, particularly experience of prior emotional duration.

Examining Rater Biases of Peer Assessors in Different Assessment Environments

The current study employed many-facet Rasch measurement (MFRM) to explain the rater bias patterns of EFL student teachers (hereafter students) when they rate the teaching performance of their peers in three assessment environments: online, face-to-face, and anonymous. Twenty-four students and two instructors rated 72 micro-teachings performed by senior Turkish students. The performance was assessed using a five-category analytic rubric developed by the researchers (Lesson Presentation, Classroom Management, Communication, Material, and Instructional Feedback). MFRM revealed the severity and leniency biases in all three assessment environments at the group and individual levels, drawing attention to the less occurrence of biases anonymous assessment. The central tendency and halo effects were observed only at the individual level in all three assessment environments, and these errors were similar to each other. Semi-structured interviews with peer raters (n = 24) documented their perspectives about how the anonymous assessment affected the severity, leniency, central tendency, and halo effects. Besides, the findings displayed that hiding the identity of the peers develops the reliability and validity of the measurements performed during peer assessment.