Effects of the COVID-19 Pandemic on Rates of Cyberbullying in a University Sample

Purpose and Originality Cyberbullying refers to when an individual or group harasses, mistreats, or mocks an individual or group using an electronic device in a way in which the victim(s) do not feel capable of responding or defending themselves (Whittaker & Kowalski, 2014). Cyberbullying is associated with symptoms of depression, anxiety, suicidal ideation, substance use, delinquency, and poor academic performance (Zalaquett & Chatters, 2014). The purpose of this study was to investigate the possible impact the COVID-19 pandemic may have had on cyberbullying. This study not only adds to the limited information concerning cyberbullying among college students, but also whether cyberbullying may have been impacted by increased utilization of online learning platforms during the pandemic. Method Between March and April 2021, participants (n = 135) were recruited from a mid-sized public university in the Rocky Mountain region of the United States using the university’s research recruitment system (SONA). The 47-item survey was administered remotely using Qualtrics – an online survey platform – and included items inspired from previous works including the self-report Participant Role Questionnaire (PRQ; Bushard, 2013), the Revised Olweus Bully/Victim Questionnaire (OBVQ; Olweus, 1996), and the Cyberbullying Experiences Survey (Doane et al., 2013). The survey took approximately 10 minutes to complete and asked participants about their age, race/ethnicity, gender, class standing, involvement in student groups, experiences with cyberbullying, perceived rates of cyberbullying since the pandemic, and their personal participation in cyberbullying. Results and Significance As expected, the sample endorsed much higher levels of overall online activity since university classes went to an online format in April 2020. However, on average, participants did not believe that changing to online platforms led to a general increase in cyberaggression, did not personally perceive an increase in cyberaggression during this period, nor was there an increase in endorsements of personal involvement in cyberbullying as either the aggressor or victim. The variable with the strongest relationship to cyberaggressing during the pandemic (since April 2020) was endorsement of being cybervictimized (r =.735, p = r = 0.373, p = n = 36, 28%), “Classmates who are not friends” (n = 32, 25%), and “I don’t know” (n = 27, 21%). In summary, our results suggest that most participants did not view increased online learning as a catalyst for cyberaggression, though participants with personal histories with cyberaggression appeared sensitized to, or further engaged in, the phenomena. Further research should seek to shed light on the actions and perceptions related to cyberbullying in this important subgroup

Organisation in crisis: Exploring the intensification of digital communication tools by hospital staff in a Belgian general hospital during the Covid-19 pandemic

peer reviewedThe complex and unprecedented circumstances caused by the COVID-19 pandemic restructured communication practices in hospitals, since the customary communication practices and channels were either inadequate or not possible to utilise. This is noticeable in the intensification of digital communication tools. The aim of this paper is to assess how communication tools and practices evolved in a Belgian general hospital during a crisis, and specifically how digital communication tools shaped the organising processes. Both quantitative and qualitative data was collected through a questionnaire (N=901), diffused to the entirety of hospital staff, and six focus groups (N=53). The findings illustrate how communicational practices happened in the pre-COVID-19 hospital context, in the COVID-19 pandemic context, and in the post COVID-19 context. This study puts forth that in times of crisis the habitual organising in the general hospital is bracketed and a new form emerges, namely that of an ‘organisation in crisis’. In the general hospital, this form was constituted through the pre-existing communicational context and by a sense-making process done by managers and it was brought to life with and by digital communication tools. Nevertheless, this form is not sustained over time as it with the diminishing of the crisis so does the use of digital communication tools for organising

Visualising spatio-temporal health data: the importance of capturing the 4th dimension

Confronted by a rapidly evolving health threat, such as an infectious disease outbreak, it is essential that decision-makers are able to comprehend the complex dynamics not just in space but also in the 4th dimension, time. In this paper this is addressed by a novel visualisation tool, referred to as the Dynamic Health Atlas web app, which is designed specifically for displaying the spatial evolution of data over time while simultaneously acknowledging its uncertainty. It is an interactive and open-source web app, coded predominantly in JavaScript, in which the geospatial and temporal data are displayed side-by-side. The first of two case studies of this visualisation tool relates to an outbreak of canine gastroenteric disease in the United Kingdom, where many veterinary practices experienced an unusually high case incidence. The second study concerns the predicted COVID-19 reproduction number along with incidence and prevalence forecasts in each local authority district in the United Kingdom. These studies demonstrate the effectiveness of the Dynamic Health Atlas web app at conveying geospatial and temporal dynamics along with their corresponding uncertainties.Comment: 4 Figures, 27 page

A geospatial analysis of local intermediate snail host distributions provides insight into schistosomiasis risk within under-sampled areas of southern Lake Malawi

Background: Along the southern shoreline of Lake Malawi, the incidence of schistosomiasis is increasing with snails of the genera Bulinus and Biomphalaria transmitting urogenital and intestinal schistosomiasis, respectively. Since the underlying distribution of snails is partially known, often being focal, developing pragmatic spatial models that interpolate snail information across under-sampled regions is required to understand and assess current and future risk of schistosomiasis. Methods: A secondary geospatial analysis of recently collected malacological and environmental survey data was undertaken. Using a Bayesian Poisson latent Gaussian process model, abundance data were fitted for Bulinus and Biomphalaria. Interpolating the abundance of snails along the shoreline (given their relative distance along the shoreline) was achieved by smoothing, using extracted environmental rainfall, land surface temperature (LST), evapotranspiration, normalised difference vegetation index (NDVI) and soil type covariate data for all predicted locations. Our adopted model used a combination of two-dimensional (2D) and one dimensional (1D) mapping. Results: A significant association between normalised difference vegetation index (NDVI) and abundance of Bulinus spp. was detected (log risk ratio − 0.83, 95% CrI − 1.57, − 0.09). A qualitatively similar association was found between NDVI and Biomphalaria sp. but was not statistically significant (log risk ratio − 1.42, 95% CrI − 3.09, 0.10). Analyses of all other environmental data were considered non-significant. Conclusions: The spatial range in which interpolation of snail distributions is possible appears < 10km owing to fine-scale biotic and abiotic heterogeneities. The forthcoming challenge is to refine geospatial sampling frameworks with future opportunities to map schistosomiasis within actual or predicted snail distributions. In so doing, this would better reveal local environmental transmission possibilities

Expansion of the neurodevelopmental phenotype of individuals with EEF1A2 variants and genotype-phenotype study

Translation elongation factor eEF1A2 constitutes the alpha subunit of the elongation factor-1 complex, responsible for the enzymatic binding of aminoacyl-tRNA to the ribosome. Since 2012, 21 pathogenic missense variants affecting EEF1A2 have been described in 42 individuals with a severe neurodevelopmental phenotype including epileptic encephalopathy and moderate to profound intellectual disability (ID), with neurological regression in some patients. Through international collaborative call, we collected 26 patients with EEF1A2 variants and compared them to the literature. Our cohort shows a significantly milder phenotype. 83% of the patients are walking (vs. 29% in the literature), and 84% of the patients have language skills (vs. 15%). Three of our patients do not have ID. Epilepsy is present in 63% (vs. 93%). Neurological examination shows a less severe phenotype with significantly less hypotonia (58% vs. 96%), and pyramidal signs (24% vs. 68%). Cognitive regression was noted in 4% (vs. 56% in the literature). Among individuals over 10 years, 56% disclosed neurocognitive regression, with a mean age of onset at 2 years. We describe 8 novel missense variants of EEF1A2. Modeling of the different amino-acid sites shows that the variants associated with a severe phenotype, and the majority of those associated with a moderate phenotype, cluster within the switch II region of the protein and thus may affect GTP exchange. In contrast, variants associated with milder phenotypes may impact secondary functions such as actin binding. We report the largest cohort of individuals with EEF1A2 variants thus far, allowing us to expand the phenotype spectrum and reveal genotype-phenotype correlations.</p

Emerging variants of canine enteric coronavirus associated with seasonal outbreaks of severe canine gastroenteric disease

Canine enteric coronavirus (CECoV) variants have an emerging role in severe outbreaks of canine gastroenteritis. Here we used syndromic health data from a sentinel network of UK veterinary practices to identify an outbreak of severe canine gastroenteritis. Affected dogs frequently presented with vomiting, diarrhoea and inappetence. Data from sentinel diagnostic laboratories showed similar seasonal increases in CECoV diagnosis. Membrane glycoprotein (M) gene sequence analysis implied wide geographical circulation of a new CECoV variant. Whole genome sequencing suggested the main circulating 2022 variant was most closely related to one previously identified in 2020 with additional spike gene recombination; all variants were unrelated to CECoV-like viruses recently associated with human respiratory disease. Identifying factors that drive population-level evolution, and its implications for host protection and virulence, will be important to understand the emerging role of CECoV variants in canine and human health, and may act as a model for coronavirus population adaptation more widely

Asynchrony of senescence among phenotypic traits in a wild mammal population

The degree to which changes in lifespan are coupled to changes insenescencein different physiological systems andphenotypictraits is a central question in biogerontology. It is underpinned by deeper biological questions about whether or not senescence is a synchronised process, or whether levels of synchrony depend on species or environmental context. Understanding how natural selection shapes patterns of synchrony in senescence across physiological systems and phenotypic traits demands thelongitudinal studyof manyphenotypesunder natural conditions. Here, we examine the patterns of age-related variation in late adulthood in a wild population of Soay sheep (Ovis aries) that have been the subject of individual-based monitoring for thirty years. We examined twenty different phenotypic traits in both males and females, encompassing vital rates (survival and fecundity), maternal reproductive performance (offspring birth weight, birth date and survival), male rutting behaviour, home range measures, parasite burdens, and body mass. We initially quantified age-related variation in each trait having controlled for annual variation in the environment, among-individual variationand selective disappearance effects. We then standardised our age-specific trait means and tested whether age trajectories could be meaningfully grouped according to sex or the type of trait. Whilst most traits showed age-related declines in later life, we found striking levels of asynchrony both within and between the sexes. Of particular note, female fecundity and reproductive performance declined with age, but male annual reproductive success did not. We also discovered that whilst home range size and quality decline with age in females, home range size increases with age in males. Our findings highlight the complexity of phenotypic ageing under natural conditions and, along with emerging data from other wild populations and laboratory models, suggest that the long-standing hypothesis withinevolutionary biologythat fitness-related traits should senesce in a synchronous manner is seriously flawed