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The current paper expands an under-addressed concept within the job insecurity literature, namely, whether threats to job security are specific to the jobholder (person-at-risk threats) or specific to the job (job-at-risk threats). Using a between-person experimental vignette design, 136 employed participants were asked to imagine themselves in either a Person-at-Risk or a Job-at-Risk scenario. https://www.selleckchem.com/products/baf312-siponimod.html As expected, participants in a person-at-risk scenario indicated more negative reactions to job insecurity, as captured by greater anticipated negative affect and poorer perceived social exchanges and organization-based self-esteem. They also reported reduced intention for interpersonal citizenship behavior and greater intention to engage in one form of impression management compared to individuals in a job-at-risk scenario. We interpret these findings in terms of their implications on individual versus group identity, as well as on well-being and the behavioral consequences of job insecurity.Frontline healthcare workers (HCWs) involved in the COVID-19 response have a higher risk of experiencing psychosocial distress amidst the pandemic. Between July and September 2020, a second wave of the COVID-19 pandemic appeared in Vietnam with Da Nang city being the epicenter. During the outbreak, HCWs were quarantined within the health facilities in a bid to limit the spread of COVID-19 to their respective communities. Using the stress component of the 21-item Depression, Anxiety and Stress Scale (DASS-21), we assessed the level of stress among HCWs in Da Nang city. Between 30 August and 15 September 2020, 746 frontline HCWs were recruited to fill in an online structured questionnaire. Overall, 44.6% of participants experienced increased stress and 18.9% severe or extremely severe stress. In multivariable analysis, increased stress was associated with longer working hours (OR = 1.012; 95% CI 1.004-1.019), working in health facilities providing COVID-19 treatment (OR = 1.58, 95% CI 1.04-2.39), having direct contact with patients or their bio-samples (physicians, nurses and laboratory workers; OR = 1.42, 95% CI 1.02-1.99), low confidence in the available personal protective equipment (OR = 0.846; 95% CI 0.744-0.962) and low knowledge on COVID-19 prevention and treatment (OR = 0.853; 95% CI 0.739-0.986). In conclusion, many frontline HCWs experienced increased stress during the COVID-19 outbreak in Da Nang city. Reducing working time, providing essential personal protective equipment and enhancing the knowledge on COVID-19 will help to reduce this stress. Moreover, extra support is needed for HCWs who are directly exposed to COVID-19 patients.Dog bites are a health risk in a number of workplaces such as the delivery, veterinary and dog rescue sectors. This study aimed to explore how workers negotiate the risk of dog bites in daily interactions with dogs and the role of procedures in workplace safety. Participants who encounter dogs at work were recruited using snowball sampling. Ethnographic methods (interviews, focus group discussions, participant-observations) were used for data collection. All data were coded qualitatively into themes. Six themes describing dog bite risk management were identified 'Surveillance of dogs'; 'Communicating risk; 'Actions taken to manage perceived risk'; 'Reporting bites and near-misses', 'Investigating bites and near-misses', and; 'Learning and teaching safety'. While the procedures described dog bite risk as objective, when interacting with dogs, participants drew on experiential knowledge and subjective judgment of risk. There was a discrepancy between risks that the procedures aimed to guard against and the risk participants were experiencing in the course of work. This often led to disregarding procedures. Paradoxically, procedures generated risks to individual wellbeing and sometimes employment, by contributing to blaming employees for bites. Dog bite prevention could be improved by clarifying definitions of bites, involving at risk staff in procedure development, and avoiding blaming the victim for the incident.The impact of the still ongoing "Coronavirus Disease 2019" (COVID-19) pandemic has been and is still vast, affecting not only global human health and stretching healthcare facilities, but also profoundly disrupting societal and economic systems worldwide. The nature of the way the virus spreads causes cases to come in further recurring waves. This is due a complex array of biological, societal and environmental factors, including the novel nature of the emerging pathogen. Other parameters explaining the epidemic trend consisting of recurring waves are logistic-organizational challenges in the implementation of the vaccine roll-out, scarcity of doses and human resources, seasonality, meteorological drivers, and community heterogeneity, as well as cycles of strengthening and easing/lifting of the mitigation interventions. Therefore, it is crucial to be able to have an early alert system to identify when another wave of cases is about to occur. The availability of a variety of newly developed indicators allows for the exploration of multi-feature prediction models for case data. Ten indicators were selected as features for our prediction model. The model chosen is a Recurrent Neural Network with Long Short-Term Memory. This paper documents the development of an early alert/detection system that functions by predicting future daily confirmed cases based on a series of features that include mobility and stringency indices, and epidemiological parameters. The model is trained on the intermittent period in between the first and the second wave, in all of the South African provinces.(1) Background UK Armed Forces personnel provide first response, support and protection during national and international disasters and conflicts. They thus have a psychologically challenging role which requires them to maintain a good state of mental health and wellbeing. HeadFIT is a preventative initiative developed to help foster mental fitness through various self-help tools and resources online including techniques to de-stress and increase drive. This paper reports on an independent service evaluation of HeadFIT to examine feasibility and acceptability among Ministry of Defence (MOD) personnel. (2) Methods Qualitative interviews were held with the HeadFIT beneficiaries, including military personnel and civil servants. The beneficiaries provided feedback on HeadFIT through questionnaires and interviews, and website traffic data were also collected. Qualitative data were analysed using framework analysis. (3) Results Beneficiaries generally reported positive views on the HeadFIT initiative, with most agreeing that the tools could support them to foster their mental fitness.

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