A Person-Environment Fit Model to Explain Information and Communication Technologies-Enabled After-Hours Work-Related Interruptions in China.

Given the ubiquitous nature of mobile devices and information and communication technologies (ICT), after-hours work-related interruptions (AHWI) occur anywhere and anytime in China. In the current study, an alternative person-environment (P-E) fit model of ICT-enabled AHWI, hereafter referred to as IAWI, that treats polychronic variables as moderated solutions are presented. A cross-sectional survey among 277 Chinese employees (average age: 32.04 years) was conducted in September 2022 and tested by PLS-structural equation modeling to validate our hypotheses. The results indicated that IAWI had a positive influence on employees' innovative job performance and in-role job performance (ß = 0.139, p < 0.05; ß = 0.200, p < 0.01; ß = 0.298, p < 0.001). Moreover, among employees with higher levels of polychronicity, the heightened effects of IAWI on innovative job performance were increased (ß = 0.112, p < 0.05). This study offers implications for employees: under IAWI situations, they could search for a person-environment (P-E) that is fit to buffer the negative aspects of IAWI, consequently increasing their innovative job performance and in-role job performance. Future research could extend beyond this framework to explore employees' IAWI and job performance balance.

A new generation Mpro inhibitor with potent activity against SARS-CoV-2 Omicron variants.

Emerging SARS-CoV-2 variants, particularly the Omicron variant and its sublineages, continually threaten the global public health. Small molecule antivirals are an effective treatment strategy to fight against the virus. However, the first-generation antivirals either show limited clinical efficacy and/or have some defects in pharmacokinetic (PK) properties. Moreover, with increased use of these drugs across the globe, they face great pressure of drug resistance. We herein present the discovery and characterization of a new generation antiviral drug candidate (SY110), which is a potent and selective inhibitor of SARS-CoV-2 main protease (Mpro). This compound displayed potent in vitro antiviral activity against not only the predominant SARS-CoV-2 Omicron sublineage BA.5, but also other highly pathogenic human coronaviruses including SARS-CoV-1 and MERS-CoV. In the Omicron-infected K18-hACE2 mouse model, oral treatment with SY110 significantly lowered the viral burdens in lung and alleviated the virus-induced pathology. Importantly, SY110 possesses favorable PK properties with high oral drug exposure and oral bioavailability, and also an outstanding safety profile. Furthermore, SY110 exhibited sensitivity to several drug-resistance Mpro mutations. Collectively, this investigation provides a promising new drug candidate against Omicron and other variants of SARS-CoV-2.

Should Medical Students Be Overprotected? A Survey from China and Review About the Roles of Medical Student Under the COVID-19.

Objective: The impact of COVID-19 continues to this day, there are many disputes about how medical students should be managed and diverse arrangements were adopted by medical schools around all over the world. The purpose of this study was to discuss the risks and benefits of medical student participation in healthcare in the context of COVID-19. Methods: An online cross-sectional survey was distributed to 300 Medical students undergoing standardized training program (STP) in China-Japan Union Hospital of Jilin University. The survey included questions about basic demographic characteristics, roles and mental state of interns during the pandemic, comments on the University's management of medical students. Data were processed using SPSS 25.0 statistical analysis software, the comparison between two groups of data was performed using t-test; the non-normally distributed variables were analyzed using Mann-Whitney U-test, differences between groups were compared using chi-square test for analysis. p < 0.05 was considered statistically significant. Results: A total of 191 students completed the survey (response rate 63.67%). The epidemic had a significant psychological impact on students, but most of them believed that participation in clinical work under voluntary, precise protective measures and strict supervision were benefit for their future. Older, married, female, and salaried students are more willing to engage in pandemic-related activities. The biggest challenge of working under the pandemic focused on high working pressure and insufficient protection, the biggest harvest was getting knowledge and accumulating experience. Conclusion: Circumstances, cultures, outbreaks and strategies for coping with COVID-19 varied around the world. Medical students do not need to be overprotected, participation in pandemic work in an optimized system is acceptable and beneficial to their career plan. Medical education should focus on improving the social status of infectious diseases and cultivating future doctors with awareness of epidemic prevention and control.

Does m-health-based exercise (guidance plus education) improve efficacy in patients with chronic low-back pain? A preliminary report on the intervention's significance.

BACKGROUND: The utilization of mobile health (m-health) has rapidly expanded during the COVID-19 pandemic, and there is still a lack of relevant clinical data pertaining to chronic low-back pain (CLBP) management. This study was designed to compare the effectiveness of m-health-based exercise (via guidance plus education) versus exercise (via guidance) during CLBP management. METHODS: Participants (n = 40) were randomly assigned to intervention and control groups. The intervention group received m-health-based exercise (via guidance plus education), whereas the control group received m-health-based exercise (via guidance). The exercise prescription video and educational content were sent to participants by the application (app), Ding Talk. Repeated-measures analysis of variance was used to test the baseline's intervention effects, 6-week follow-up, and 18-week follow-up. We selected function (Roland and Morris Disability Questionnaire) and pain intensity (current, mean, and most severe Numeric Rating Scale in the last 2 weeks) as the primary outcomes, changes of negative emotion (depression, anxious), and quality of life as the secondary outcomes. RESULTS: Time's significant effect was found in pain, function, and health-related quality of life in both groups, but time did not show significant interaction effects. Participants were able to use m-based education with their anxiety and depression after treatment, but the relief only lasted until week 6. No differences were found on the aspect of mental health-related quality of life. CONCLUSION: Preliminary findings suggest that m-health-based exercise (via guidance) may be a convenient and effective method to treat CLBP. However, additional health education didn't help more. More rigorous controlled trials are needed to improve the therapeutic effect in future studies. TRIAL REGISTRATION: Chinese Clinical Trials Registry Number ChiCTR2000041459 . Registered on December 26, 2020.

Stable Two-Sided Satisfied Matching for Hospitals and Patients Based on the Disappointment Theory

With the global spread of COVID-19 and the shortage of medical resources, the key to improve the quality of medical services is to solve the problem of hospital–patient matching. This paper constructs a two-sided matching (TSM) model based on the psychological perceptions of hospitals and patients to realize effective matching that maximizes the satisfaction of hospitals and patients. First, we determine the influencing factors of mutual choice between hospitals and patients through investigation and literature and establish a TSM evaluation system to obtain the preference order of hospitals and patients. Then, using disappointment theory, the preference order value is transformed into preference utility, and the preference utility of hospitals and patients is transformed into the perceived utility of hospital and patient satisfaction. Finally, under the constraint of stable matching, a multiobjective optimization model of TSM is established with the goal of maximizing the sum of the perceived utility of hospitals and patients. The optimal TSM results are obtained by solving the model, and an example is given to verify the practicability and effectiveness of the model. The results show that the stable bilateral satisfaction matching model considering the psychological factors of both sides can fully meet the expectations of hospitals and patients and has certain practical value.

Evaluation of Infectious Disease Prevention and Control Ability of Medical Buildings in Harbin, China.

OBJECTIVE: Entrusted by the Harbin Municipal Government, evaluation medical building system for prevention and control of sudden infectious diseases in the city has been established. BACKGROUND: China, as a country that found the COVID-19 earlier, has taken strict control measures. However, as the medical building system is not perfect enough to prevent and control sudden infectious diseases. METHOD: First, expert group methodology was used and evaluation index of ability of prevention and control of sudden infectious diseases in medical building system was selected; then fuzzy comprehensive evaluation was adopted to establish index set and to set weight and medical building system evaluation model for prevention and control of sudden infectious diseases was constructed; finally, it's to modify the indicators and weights in the evaluation set and to make an evaluation of the ability of Harbin medical building system to prevent and control sudden infectious diseases in accordance with the current management mode of system. RESULTS: The medical building system in Harbin is significantly unbalanced in its ability to prevent sudden infections where there are low indicators for response monitoring and forecasting terminals, there are high indicators for the construction of emergency center. CONCLUSIONS: The evaluation model of the ability of medical building system to prevent and control sudden infectious diseases was constructed. The model is adopted to make practical evaluation of infectious disease prevention and control ability in Harbin and to form the evaluation method of the direct connection between the theoretical research of medical architecture and medical building design.

Systematic review and meta-analysis of the CT imaging characteristics of infectious pneumonia.

BACKGROUND: Since December 2019, there have been cases of infectious pneumonia of unknown cause in Wuhan, Hubei Province, China. On January 12, 2020, the World Health Organization (WHO) named it COVID-19. There are few studies on the clinical characteristics of patients with COVID-19, and results vary widely in sample sizes. METHODS: Chinese and English databases were searched with "Infectious pneumonia", "COVID-19", "CT", "SARS-COV-2", and "Diagnose" as keywords. Rev Man 5.3 software provided by the Cochrane system was used to assess the quality of the included literature. RESULTS: Of the 18 included studies, ground-glass shadow was the most common computed tomography (CT) sign [95% confidence interval (CI): 0.79-0.97], followed by thickening of the blood vessels (95% CI: 0.63-0.78), and pleural thickening (95% CI: 0.02-0.15). Of the 18 studies, 12 reported that the lesions were externally subpleural (95% CI: 0.132-0.173), and 6 reported that the lesions were distributed in a single lobe (95% CI: 0.598-0.841). The heterogeneity test results showed that the morphology of the lesions was cord-like (95% CI: 0.092-0.172), grid-like (95% CI: 0.152-0.193), patchy (95% CI: 0.192-0.313), and nodular (95% CI: 0.591-0.745). DISCUSSION: Ground-glass opacity was a typical CT manifestation for patients with infectious pneumonia, and CT signs were instrumental in diagnosing this disease.

Clinical characteristics and risk factors of fatal patients with COVID-19: a retrospective cohort study in Wuhan, China.

BACKGROUND: The coronavirus disease 2019 (COVID-19) has caused a global pandemic, resulting in considerable mortality. The risk factors, clinical treatments, especially comprehensive risk models for COVID-19 death are urgently warranted. METHODS: In this retrospective study, 281 non-survivors and 712 survivors with propensity score matching by age, sex, and comorbidities were enrolled from January 13, 2020 to March 31, 2020. RESULTS: Higher SOFA, qSOFA, APACHE II and SIRS scores, hypoxia, elevated inflammatory cytokines, multi-organ dysfunction, decreased immune cell subsets, and complications were significantly associated with the higher COVID-19 death risk. In addition to traditional predictors for death risk, including APACHE II (AUC = 0.83), SIRS (AUC = 0.75), SOFA (AUC = 0.70) and qSOFA scores (AUC = 0.61), another four prediction models that included immune cells subsets (AUC = 0.90), multiple organ damage biomarkers (AUC = 0.89), complications (AUC = 0.88) and inflammatory-related indexes (AUC = 0.75) were established. Additionally, the predictive accuracy of combining these risk factors (AUC = 0.950) was also significantly higher than that of each risk group alone, which was significant for early clinical management for COVID-19. CONCLUSIONS: The potential risk factors could help to predict the clinical prognosis of COVID-19 patients at an early stage. The combined model might be more suitable for the death risk evaluation of COVID-19.

Impact of Prior Infection on Severe Acute Respiratory Syndrome Coronavirus 2 Transmission in Syrian Hamsters.

Prior infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) provides protective immunity against reinfection. However, whether prior infection blocks SARS-CoV-2 transmission is not yet clear. Here, we evaluated the impact of prior infection on SARS-CoV-2 transmission in Syrian hamsters. Our results showed that prior infection significantly reduced SARS-CoV-2 replication in Syrian hamsters, but sterilizing immunity was not achieved. Prior infection blocked the airborne transmission of SARS-CoV-2 from previously infected Syrian hamsters to naïve Syrian hamsters and previously infected Syrian hamsters. Moreover, prior infection substantially reduced the efficiency of direct contact transmission between previously infected Syrian hamsters. However, prior infection had limited impact on SARS-CoV-2 transmission from previously infected Syrian hamsters to naïve Syrian hamsters via direct contact in the early course of infection. Human reinfection and SARS-CoV-2 transmission between a previously infected population and a healthy population would be likely, and a higher vaccination coverage rate was needed to reach herd immunity. Our work will aid the implementation of appropriate public health and social measures to control coronavirus infectious disease 2019 (COVID-19) pandemic.

Multi-Epitope Vaccine Design Using an Immunoinformatic Approach for SARS-CoV-2.

Through 4 June 2021, COVID-19 has caused over 172.84 million cases of infection and 3.71 million deaths worldwide. Due to its rapid dissemination and high mutation rate, it is essential to develop a vaccine harboring multiple epitopes and efficacious against multiple variants to prevent the immune escape of SARS-CoV-2. An in silico approach based on the viral genome was applied to identify 19 high-immunogenic B-cell epitopes and 499 human leukocyte antigen (HLA)-restricted T-cell epitopes. Thirty multi-epitope peptide vaccines were designed by iNeo-Suite and manufactured by solid-phase synthesis. Docking analysis confirmed stable hydrogen bonds of epitopes with their corresponding HLA alleles. When four peptide candidates derived from the spike protein of SARS-CoV-2 were selected to immunize mice, a significantly larger amount of total IgG in serum, as well as an increase of CD19+ cells in the inguinal lymph nodes, were observed in the peptide-immunized mice compared to the control. The ratios of IFN-γ-secreting lymphocytes in CD4+ or CD8+ T-cells in the peptide-immunized mice were higher than those in the control mice. There were also a larger number of IFN-γ-secreting T-cells in the spleens of peptide-immunized mice. The peptide vaccines in this study successfully elicited antigen-specific humoral and cellular immune responses in mice. To further validate the safety and efficacy of this vaccine, animal studies using a primate model, as well as clinical trials in humans, are required.

Protective Effect of Arbidol Against Pulmonary Fibrosis and Sepsis in Mice.

From the perspective of epidemiology, viral immunology and current clinical research, pulmonary fibrosis may become one of the complications of patients with Coronavirus Disease 2019 (COVID-19). Cytokine storm is a major cause of new coronavirus death. The purpose of this study was to explore the effects of antiviral drug arbidol on cytokine storm and pulmonary fibrosis. Here, we use a mouse model of bleomycin-induced pulmonary fibrosis and a mouse model of fecal dilution-induced sepsis to evaluate the effects of arbidol on pulmonary fibrosis and cytokine storm. The results showed that arbidol significantly reduced the area of pulmonary fibrosis and improved lung function (reduced inspiratory resistance, lung dynamic compliance and forced vital capacity increased). Treatment with arbidol promoted reduced sepsis severity 48 h after sepsis induction, based on weight, murine sepsis score and survival rate. Arbidol observably alleviates inflammatory infiltrates and injury in the lungs and liver. Finally, we also found that arbidol reduced serum levels of pro-inflammatory factors such as TNF-α and IL-6 induced by fecal dilution. In conclusion, our results indicate that arbidol can alleviate the severity of pulmonary fibrosis and sepsis, and provide some reference for the treatment of cytokine storm and sequelae of pulmonary fibrosis in patients with COVID-19.

Spatiotemporal variations and reduction of air pollutants during the COVID-19 pandemic in a megacity of Yangtze River Delta in China.

In recent decades, air pollution has become an important environmental problem in the megacities of eastern China. How to control air pollution in megacities is still a challenging issue because of the complex pollutant sources, atmospheric chemistry, and meteorology. There is substantial uncertainty in accurately identifying the contributions of transport and local emissions to the air quality in megacities. The COVID-19 outbreak has prompted a nationwide public lockdown period and provides a valuable opportunity for understanding the sources and factors of air pollutants. The three-month period of continuous field observations for aerosol particles and gaseous pollutants, which extended from January 2020 to March 2020, covered urban, urban-industry, and suburban areas in the typical megacity of Hangzhou in the Yangtze River Delta in eastern China. In general, the concentrations of PM2.5-10, PM2.5, NOx, SO2, and CO reduced 58%, 47%, 83%, 11% and 30%, respectively, in the megacity during the COVID-Lock period. The reduction proportions of PM2.5 and CO were generally higher in urban and urban-industry areas than those in suburban areas. NOx exhibited the greatest reduction (>80%) among all the air pollutants, and the reduction was similar in the urban, urban-industry, and suburban areas. O3 increased 102%-125% during the COVID-Lock period. The daytime elevation of the planetary boundary layer height can reduce 30% of the PM10, PM2.5, NOx and CO concentrations on the ground in Hangzhou. During the long-range transport events, air pollutants on the regional scale likely contribute 40%-90% of the fine particles in the Hangzhou urban area. The findings highlight the future control and model forecasting of air pollutants in Hangzhou and similar megacities in eastern China.