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Krogsgaard Groth posted an update 6 months, 3 weeks ago
Competence in proper donning and doffing of PPE accompanied by hand washing techniques was of utmost importance for infection control.
To curb the spread of the COVID-19 (coronavirus disease 2019) pandemic, the world needs diagnostic systems capable of rapid detection and quantification of the novel coronavirus (SARS-CoV-2). Caspase Inhibitor VI concentration Many biomedical companies are rising to the challenge and developing COVID-19 diagnostics. In the last few months, some of these diagnostics have become commercially available for healthcare workers and clinical laboratories. However, the diagnostic technologies have specific limitations and reported several false-positive and false-negative cases, especially during the early stages of infection.
This article aims to review recent developments in the field of COVID-19 diagnostics based on molecular technologies and analyze their clinical performance data.
The literature survey and performance-based analysis of the commercial and pre-commercial molecular diagnostics address several questions and issues related to the limitations of current technologies and highlight future research and development challenges to enable timely, rapid, low-cost, and accurate diagnosis of emerging infectious diseases.
The literature survey and performance-based analysis of the commercial and pre-commercial molecular diagnostics address several questions and issues related to the limitations of current technologies and highlight future research and development challenges to enable timely, rapid, low-cost, and accurate diagnosis of emerging infectious diseases.The discovery of Sanal flow choking is a scientific breakthrough and a paradigm shift in the diagnostics of the detonation/hemorrhage in real-world fluid flow systems. The closed-form analytical models capable of predicting the boundary-layer blockage factor for both 2D and 3D cases at the Sanal flow choking for adiabatic and diabatic fluid flow conditions are critically reviewed here. The beauty and novelty of these models stem from the veracity that at the Sanal flow choking condition for diabatic flows all the conservation laws of nature are satisfied at a unique location, which allows for computational fluid dynamics (CFD) code verification. At the Sanal flow choking condition both the thermal choking and the wall-friction-induced flow choking occur at a single sonic fluid throat location. The blockage factor predicted at the Sanal flow choking condition can be taken as an infallible data for various in silico model verification, validation, and calibration. The 3D blockage factor at the Sanal flow choking is found to be 45.12% lower than the 2D case of a wall-bounded diabatic fluid flow system with air as the working fluid. The physical insight of Sanal flow choking presented in this review article sheds light on finding solutions, through in silico experiments in base flow and nanoflows, for numerous unresolved problems carried forward over the centuries in physical, chemical, and biological sciences for humankind.
To explore an effective personalized training model for nurses working in emergency isolation wards of COVID-19 in a short period.
This study is a longitudinal study from 24 January 2020 to 28 February 2020.
There are 71 nursing staff working in the emergency isolation wards of Sichuan Provincial People’s Hospital that participated in this study. The questionnaires were conducted with Likert scale. The operation assessment teachers have received standardized training. The self-rating anxiety scale (SAS) and self-rating depression Scale (SDS) were applied to assess the mental state of nurses.
After short-term training, these nurses can handle the emergency tasks in a timely manner. The pass rate of nurse theory and operation assessment is 100%. The 111 suspected patients admitted to the emergency isolation ward have been scientifically diagnosed and treated, the three confirmed patients have received appropriate treatment. No nurses have been infected.
In this study, the personalized emergency training mode was feasible in the emergency isolation ward during the COVID-19 epidemic, which rapidly improved the rescue ability of nurses and effectively avoid the occurrence of cross-infection. This mode can provide a valuable reference for the emergency training of nurses in the future.
In this study, the personalized emergency training mode was feasible in the emergency isolation ward during the COVID-19 epidemic, which rapidly improved the rescue ability of nurses and effectively avoid the occurrence of cross-infection. This mode can provide a valuable reference for the emergency training of nurses in the future.
To comprehensively assess the current level and identify associated factors of intention to response and emergency preparedness of clinical nurses during COVID-19 outbreak.
A cross-sectional study was designed.
Demographic and characteristic questionnaire, intention to response scale, emergency preparedness scale and a self-designed questionnaire related to effects of events and intention to leave were used in this study.
The mean scores of intention to response and emergency preparedness were 82.00 (
=18.17) and 64.99 (
=12.94), respectively. Moral consideration, engaged in COVID-19 protection training, had working experience in SARS, and the other eight factors were explained 34.6% of the total model variance in intention to response model (
=80.05,
<.001). While, the level of IR, whether the pace of work was affected and above three same factors were explained 21.5% of the total model variance (
=91.05,
<.001). Pathway analysis revealed that moral consideration, intention to leave and impacts on work and life mediate the relationship between EP and IR.
The mean scores of intention to response and emergency preparedness were 82.00 (SD = 18.17) and 64.99 (SD = 12.94), respectively. Moral consideration, engaged in COVID-19 protection training, had working experience in SARS, and the other eight factors were explained 34.6% of the total model variance in intention to response model (F = 80.05, p less then .001). While, the level of IR, whether the pace of work was affected and above three same factors were explained 21.5% of the total model variance (F = 91.05, p less then .001). Pathway analysis revealed that moral consideration, intention to leave and impacts on work and life mediate the relationship between EP and IR.