ABSTRACT
Background: Nurse is a high-risk groups work fatigue feeling, which seriously affects the quality of conventional work efficiency and bureden pressures for contradiction between nurses and patients especially during the COVID-19 pandemic.Normalized epidemic prevention and control during the preview triage nurse need to all patients to the hospital and the accompanying personnel carries on the preliminary screening.COVID-19 fxed point hospital preview triage nurse with an infected person contact, more prone to anxiety,depression, results in the decrease of efficiency, to treat the service object formulation work sense of fatigue performance, etc. Objectives: To explore the influencing factors of work burnout of pre-test and triage nurses under normal epidemic prevention and control. Methods: A total of 110 pre-test and triage nurses from 4 Grade-A hospitals in Shanxi Province were enrolled in this study. The general data questionnaire, Nurse Job Burnout Scale, Pittsburgh Sleep Quality Index Scale, Self-Rating Anxiety Scale and Self-Rating Depression Scale were investigated towork burnout of pre-examination and triage nurses. Comparison between groups using two Independent sample t-test and single factor variance analysis. Multiple regression were applied to analysis factors affecting nurse fatigue feeling dimensions by SPSS22.0. P values<0.05 were considered signifcant. Results: As shown in Table 1, different professional title, department, and the sleep quality of preview triage nurses emotional exhaustion dimension com-parison(P<0.001), different department nurses to personalized level dimension comparison(P<0.05), nurse personal accomplishment dimension comparison of different cultural levels(P<0.05). Professional title, working department, sleep quality and educational level were the influencing factors of job burnout of pretest and triage nurses. Conclusion: In the COVID-19 epidemic, managers should pay more attention to the main factors that affect the sense of exhaustion of pre-test and triage nurses, and take targeted intervention measures to alleviate the sense of exhaustion of nurses, so as to ensure the safety of nursing.
ABSTRACT
This paper deals with the prediction and analysis of COVID-19 epidemic situation based on a modified SEIR model with asymptomatic infection. First, by considering the self-isolation and asymptomatic infection, a modified SEIR model is proposed to predict and evaluate the epidemic situation of COVID-19 in Hubei Province, China. Then, based on the daily data reported by the Health Commission of Hubei Province, the modified SEIR model is solved numerically, and the parameters of the modified model are inverted by the least square method. Third, based on the modified model, the epidemic situation of COVID-19 in Hubei Province is predicted and verified. The simulation results show that the modified SEIR model is significant and reliable to describe the spread property of the COVID-19, thereby providing a potential theoretical support for the decision-making of epidemic prevention and control in the future. © 2021 IEEE.
ABSTRACT
Purpose Psychosocial factors have received increasing attention regarding significantly influencing safety in the construction industry. This research attempts to comprehensively summarize psychosocial factors related to safety performance of construction workers. In the context of coronavirus disease 2019, some typical psychosocial factors are selected to further analyze their influence mechanism of safety performance. Design/methodology/approach First, a literature review process was conducted to identify and summarize relevant psychosocial factors. Then, considering the impact of the epidemic, hypotheses on the relationship between six selected psychosocial factors (i.e. work stress, role ambiguity, work-family conflict, autonomy, social support and interpersonal conflict) and safety performance were proposed, and a hypothetical model was developed based on job demands-resources theory. Finally, a meta-analysis was used to examine these hypotheses and the model. Findings The results showed these psychosocial factors indirectly influenced workers' safety performance by impacting on their occupational psychology condition (i.e. burnout and engagement). Work stress, role ambiguity, work-family conflict and interpersonal conflict were negatively related to safety performance by promoting burnout and affecting engagement. Autonomy and social support were positively related to safety performance by improving work engagement and reducing burnout. Originality/value This research is the pioneer systematically describing the overall picture of psychosocial factors related to the safety performance of construction workers. Through deeply discussed the mechanism of psychosocial factors and safety performance, it could provide a reference for the theory and application of psychosocial factors in the field of construction safety management.
ABSTRACT
The prevention and control of COVID-19 epidemic is a great challenge for human beings today. In the battle against COVID-19, the hierarchical treatment measures based on symptom classifications have proved to be a particularly effective way to deal with the large-scale epidemic in the absence of adequate medical resources. This paper deals with the epidemic dynamic analyses of the COVID-19 based on a modified SEIR model with different symptoms. First, by taking symptom classifications and hierarchical treatments of patients into account, a modified SEIR model is established. Then, the proposed differential equations model is solved by using Runge-Kutta methods, and the parameters herein are estimated by least square principle based on the data released by the National Health Commission. Simulation results of the model show that the introduction of symptom classifications in the SEIR model can not only improve the fitting accuracy, but also precisely describe the evolution rules and mutual transfer rules of patients with different symptoms. The model can provide theoretical support for decision-making of the corresponding government departments, especially for the construction of mobile cabin hospitals and the reasonable preparation of important epidemic prevention resources. © 2021 Technical Committee on Control Theory, Chinese Association of Automation.