Psychotherapy and Follow-Up in Health Care Workers After the COVID-19 Epidemic: A Single Center's Experience.

Objective: The present study aims to analysis the mental health of high-risk health care workers (HHCWs) and low-risk HCWs (LHCWs) who were respectively exposed to COVID-19 wards and non-COVID-19 wards by following up on mental disorders in HCWs in China for 6 months. Methods: A multi-psychological assessment questionnaire was used to follow up on the psychological status of HCWs in the Affiliated Hospital of Xuzhou Medical University in Xuzhou City (a non-core epidemic area) at 6 months after the first evaluation conducted during the COVID-19 epidemic. Based on the risk of exposure to COVID-19 patients, the HCWs were divided into two groups: high-risk HCWs, who worked in COVID-19 wards, and low-risk HCWs, who worked in non-COVID-19 wards. Results: A total of 198 HCWs participated in the study, and 168 questionnaires were selected for evaluation. Among them, 93 (55.4%) were in the HHCW group and 75 (44.5%) were in the LHCW group. Significant differences were observed in salary, profession, and altruistic behavior between the two groups (P < 0.05). There were no significant differences in the anxiety, depression, insomnia, or posttraumatic stress disorder (PTSD) scores between the two groups. Logistic regression revealed that work stress was a major joint risk factor for mental disorders in HCWs. Among all the HCWs, a total of 58 voluntarily participated in psychotherapy; the analysis showed a significant decrease in anxiety, depression, PTSD, work stress, and work risk after attending psychotherapy. There were also significant differences in positive and negative coping styles before and after psychotherapy. Conclusion: In the present follow-up, work stress was the major contributing factor to mental disorders in HCWs. Psychotherapy is helpful in terms of stress management and should be provided to first-line COVID-19 HCWs.

The Relationship between Perceived Risks and Campsite Selection in the COVID-19 Era

Although camping as a form of leisure tourism has grown increasingly popular since the onset of the COVID-19 pandemic, research on factors influencing campsite selection is still limited. This study aims to explore the relationship between perceived risk and campsite selection. We constructed a moderated mediation model and tested whether destination image acted as a mediator in this association, and whether tourists' camping knowledge level moderated the indirect effect of destination image. Three hundred and twenty-five Chinese participants filled out questionnaires regarding perceived risk, campsite selection, destination image, and level of camping knowledge. The results revealed that perceived risk had a significant direct impact on destination image and campsite selection, and destination image mediated the relationship between perceived risk and campsites. Camping knowledge level moderated the indirect effect. Specifically, the influence of destination image on campsite choice was more significant for participants with a higher level of camping knowledge. These results explain the relationship between campers' risk perception and campsite selection. This study has practical implications for individuals' camping choices and the marketing strategies of related companies.

A Sociomaterial Investigation into Chinese International Students’ Navigation of a Doctoral Trajectory During COVID-19

Despite a vast body of scholarship delving into international students’ educational experience during the COVID-19 pandemic, little is known about the doctoral group's perception from a sociomaterial perspective. Utilizing a group of Chinese international doctoral students while drawing on semi-structured interviews, the article unpacks what and how matter and human forces are entangled with one another as bricolages to shape a disrupted doctoral trajectory. It reveals that, within working and social spaces, human agency and non-human matter mediate, forge and produce a doctoral trajectory embedded within a complex lived experience of responding to shifting dynamics during the pandemic. It also shows how doctoral students aligned material and social assemblages to construct sociomaterial bricolages that facilitate a restoration of relative stability. The study contributes to the literature of international doctoral education with a nuanced disclosure of its navigation as a continual process of mobilization, negotiation and construction emerging from the performative flow of sociomaterial practices. It concludes that a doctoral trajectory represents network operations of experiencing and accounting for, not just what humans do with matter, but what matter does to human thinking and action.

Magnetofluid-Integrated Multicolor Immunochip for Visual Analysis of Neutralizing Antibodies to SARS-CoV-2 Variants.

The global spread of SARS-CoV-2 virus has severely affected human health, life, and work. Vaccine immunization is considered to be an effective means to protect the body from infection. Therefore, timely analysis of the antibody level is helpful to identify people with low immune response or attenuated antibodies so as to carry out targeted and precise vaccine booster immunization. Herein, we develop a magnetofluid-integrated multicolor immunochip, as a sample-to-answer system in a fully enclosed space, for visual analysis of neutralizing antibodies of SARS-CoV-2. Generally, this chip adopts an innovative three-dimensional two-phase system that utilizes mineral oil to block the connection between reagent wells in the vertical direction and provides a wide interface for rapid and nondestructive shuttle of magnetic beads during the immunoassay. In order to obtain visualized signal output, gold nanorods with a size-dependent color effect are used as the colorful chromogenic substrates for evaluation of the antibody level. Using this chip, the neutralizing antibodies were successfully detected in vaccine-immunized volunteers with 83.3% sensitivity and 100% specificity. Furthermore, changes in antibody levels of the same individual over time were also reflected by the multicolor assay. Overall, benefiting from simple operation, airtight safety, and nonrequirement of external equipment, this platform can provide a new point-of-care testing strategy for alleviating the shortage of medical resources and promoting epidemic control in underdeveloped areas.

Interaction Context-Aware Network Behavior Anomaly Detection for Discovering Unknown Attacks

Network behavior anomaly detection is an effective approach to discover unknown attacks, where generating high-efficacy network behavior representation is one of the most crucial parts. Nowadays, complicated network environments and advancing attack techniques make it more challenging. Existing methods cannot yield satisfied representations that express the semantics of network behaviors comprehensively. To tackle this problem, we propose XNBAD, a novel unsupervised network behavior anomaly detection framework, in this work. It integrates the timely high-order host states under the dynamic interaction context with the conversation patterns between hosts for behavior representation. High-order states can better summarize latent interaction patterns, but they are hard to be obtained directly. Therefore, XNBAD utilizes a graph neural network (GNN) to automatically generate high-order features from series of extracted base ones. We evaluated the detection performance of XNBAD in a publicly available benchmark dataset ISCX-2012. To report detailed and precise experimental results, we carefully refined the dataset before evaluation. The results show that XNBAD discovered various attack behaviors more effectively, and it significantly outperformed the existing representative methods by at least 3.8% relative improvement in terms of the overall weighted AUC.

Evaluation of early antibiotic use in patients with non-severe COVID-19 without bacterial infection.

OBJECTIVES: The use of antibiotics was common in some countries during the early phase of the coronavirus disease 2019 (COVID-19) pandemic, but adequate evaluation remains lacking. This study aimed to evaluate the effect of early antibiotic use in patients with non-severe COVID-19 admitted without bacterial infection. METHODS: This multi-centre retrospective cohort study included 1,373 inpatients with non-severe COVID-19 admitted without bacterial infection. Patients were divided into two groups according to their exposure to antibiotics within 48 h of admission. The outcomes were progression to severe COVID-19, length of stay >15 days and mortality rate. A mixed-effect Cox model and random effect logistic regression were used to explore the association between early antibiotic use and outcomes. RESULTS: During the 30-day follow-up period, the proportion of patients who progressed to severe COVID-19 in the early antibiotic use group was almost 1.4 times that of the comparison group. In the mixed-effect model, the early use of antibiotics was associated with higher probability of developing severe COVID-19 and staying in hospital for >15 days. However, there was no significant association between early use of antibiotics and mortality. Analysis with propensity-score-matched cohorts displayed similar results. In subgroup analysis, patients receiving any class of antibiotic were at increased risk of adverse health outcomes. Azithromycin did not improve disease progression and length of stay in patients with COVID-19. CONCLUSIONS: It is suggested that antibiotic use should be avoided unless absolutely necessary in patients with non-severe COVID-19, particularly in the early stages.

A Qualitative Investigation Into Chinese International Doctoral Students' Navigation of a Disrupted Study Trajectory During COVID-19.

This study delves into emic perceptions of Chinese international doctoral students' navigation of a disrupted study trajectory during the 2019 coronavirus pandemic. Drawing on semi-structured interviews with students and the conceptual framework of bioecological systems theory and needs-response agency, the article reveals a nuanced picture of how activities, relations and roles nested in a PhD study trajectory are impacted by and respond to the crisis. Specifically, the pandemic has instigated a ripple effect upon PhD study that is embedded within a complex system of person-environment factors in the microsystem, mesosystem, exosystem and macrosystem. Confronting these changes and challenges, the students enact needs-response agency to cope with these impacts so as to restore stability. The study concludes with some practical implications for related stakeholders in the bioecological system to generate conditions and support for students to harness possibilities for growth amidst and beyond the health crisis.