ABSTRACT
Objective: To establish a three-in-one smart hospital characterized with smart service, smart medical care and smart management to improve the hospital's ability to prevent and control and respond to coronavirus disease 2019 (COVID-19). Methods: Combined with the core needs of normalized prevention and control of the epidemic, the overall structure of the smart hospital was established. Emerging technologies were used as the means to strengthen system integration and security as the basis, and the interconnection and electronic medical record project were the starting point to carry out 31 projects of information system construction and integration. Results: Through the construction of smart service, a service mechanism that integrates online and offline services and covers the whole process of diagnosis and treatment has been realized. Through the construction of integrated physician workstations, smart nursing, medical quality control and other platforms with electronic medical records as the core, the clinical diagnosis and treatment capabilities have been improved. Through the improvement and optimization of the information system, the capacity of the hospital's emergency management of the epidemic has been effectively improved. Conclusion: The construction of smart hospitals can provide a solid guarantee for the prevention and control of COVID-19, but it also faces many problems. The construction of smart service needs the strong support of the competent government departments, the integration of smart medical care needs to be further strengthened, and smart management needs to be further strengthened.
ABSTRACT
Objective: Novel Coronavirus Pneumonia is spreading all over the world. Through investigating the anxiety, job burnout, self-efficacy and general well-being of the college English teachers, it is to explore the social mentality of the people under the epidemic situation, and provide evidence for improving the mental health of occupational population and formulating psychological intervention measures. Methods: A cross-sectional study of 520 college English teachers from Jilin Province(n=340) and Hubei Province(n=180) were investigated by anxiety scale, job burnout scale, self-efficacy scale and general well-being scale. Results: The detection rate of anxiety in the occupational group was 48.65%, and there was a significant difference in the scores of anxiety among the subjects of different ages(P<0.05);the level of burnout were higher than the average, and the subjects of different ages were in a serious state of burnout was statistically significant (P< 0.05);the general well-being of the subjects was significantly higher than that of the national norm (P<0.01). Path analysis showed that anxiety, job burnout and self-efficacy were the negative and positive factors that affect general well-being, and self-efficacy played an intermediary role between anxiety, job burnout and general well-being separately. Conclusion: Under the Novel Coronavirus Pneumonia it can improve the self-efficacy of occupation population, further overcome panic and learned helplessness to reduce anxiety, job burnout, enhance resilience, improve general well-being. © 2021 ACM.
ABSTRACT
Many detection methods have been used or reported for the diagnosis and/or surveillance of COVID-19. Amongthem, reverse transcription polymerase chain reaction (RT-PCR) is the most commonly used because of its highsensitivity, typically claiming detection of about 5 copies of viruses. However, it has been reported that only 47-59%of the positive cases were identified by some RT-PCR methods, probably due to low viral load, timing of sampling, degradation of virus RNA in the sampling process, or possible mutations spanning the primer binding sites.Therefore, alternative and highly sensitive methods are imperative. With the goal of improving sensitivity andaccommodating various application settings, we developed a multiplex-PCR-based method comprising 343 pairs ofspecific primers and demonstrated its efficiency at detecting SARS-CoV-2 at low copy numbers. The assayproduced clean characteristic target peaks of defined sizes, which allowed for direct identification of positives byelectrophoresis. We further amplified the entire SARS-CoV-2 genome from 8 to half a million viral copies purifiedfrom 13 COVID-19 positive specimens and detected mutations through next-generation sequencing. Finally, wedeveloped a multiplex-PCR-based metagenomic method in parallel that required modest sequencing depth foruncovering SARS-CoV-2 mutational diversity and potentially novel or emerging isolates..