A study on level of mental health and influencing factors of medical staff in the makeshift hospital during COVID-19 in Shanghai.

Objective To analyze the mental health status of medical staff in the Fourth Branch of National Convention and Exhibition Center Makeshift Hospital during the COVID-19 epidemic in Shanghai to lay a theoretical foundation for the mental health and psychological intervention of medical staff in COVID-19 and other public health emergencies. Methods An online questionnaire survey was conducted with the generalized anxiety disorder scale (GAD-7), patient health questionnaire (PHQ-9), and Athens insomnia scale (AIS) before medical staff entering the makeshift hospital and one month later. Results The detection rates of anxiety, depression and insomnia were 18.4%, 22.1% and 27.0% respectively before entering the makeshift hospital, and 28.8%, 59.3% and 64.2% respectively during the follow-up period one month later. The GAD-7, PHQ-9 and AIS scores of medical staff after working in the makeshift hospital for one month increased significantly compared with those at the baseline period (P<0.01). Female and previous history of using sedative and hypnotic drugs were risk factors for increased depression level among medical staff in the makeshift hospital. Conclusions The anxiety, depression and insomnia levels of the medical staff in Shanghai increased after working in the makeshift hospital for one month. It is of great significance for the front-line support work to identify the medical staff with serious psychological problems and carry out psychological intervention in the early stage.Copyright © 2022 Authors. All rights reserved.

Impacts of COVID-19 on financial markets: from the perspective of financial stress

This research analyzes the impacts of COVID-19 on financial markets from the perspective of financial stress. Effects on financial stress and its cross-border spillovers are investigated, respectively. The results show that the stress of a country's financial system is positively correlated with the severity of COVID-19 pandemic the country experiences. Although the volatilities of financial stress increased slightly, the cross-border spillovers have increased significantly after the COVID-19 outbreak. We provide a new insight to the impacts of the COVID-19 and suggest a more prudent look at financial risk management. © 2021 Informa UK Limited, trading as Taylor & Francis Group.

Theoretical Study on Raman Characteristic Peaks of Coronavirus Spike Protein Based on Deep Learning

COVID-19, which has lasted for a year, has caused great damage to the global economy. In order to control COVID-19 effectively, rapid detection of COVID-19 (SARS-CoV-2) is an urgent problem. Spike protein is the detection point of Raman spectroscopy to detect SARS-CoV-2. The construction of spike protein Raman characteristic peaks plays an important role in the rapid detection of SARS-CoV-2 using Raman technology. In this paper, we used Deep Neural Networks to construct the amide I and III characteristic peak model of spike proteins based on simplified exciton model, and combined with the experimental structures of seven coronaviruses (HCoV-229E, HCoV-HKUl, HCoV-NL63, HCoV-OC43, MERS-CoV, SARS-CoV, SARS-CoV-2) spike proteins, analyzed the differences of amide I and III characteristic peaks of seven coronaviruses. The results showed that seven coronaviruses could be divided into four groups according to the amide I and III characteristic peaks of spike proteins: SARS-CoV-2, SARS-CoV, MERS-CoV form a group;HCoV-HKUl, HCoV-NL63 form a group;HCoV-229E and HCoV-OC43 form a group independently. The frequency of amide I and III in the same group is relatively close,and it is difficult to distinguish spike proteins by the frequency of amide I and III ;the characteristic peaks of amide I and III in different groups are quite different, and spike proteins can be distinguished by Raman spectroscopy. The results provide a theoretical basis for the development of Raman spectroscopy for rapid detection of SARS-CoV-2. © 2022 Science Press. All rights reserved.

Surface-enhanced Raman effect of new coronavirus S protein in gold nanoparticles

Surface-enhanced Raman spectroscopy (SERS) technology has been widely used in viral molecular detection due to its high sensitivity, simple operation and rapid detection. The research of virus detection by Raman technology at home and abroad mainly focuses on the detection of the SERS spectrum of viral nucleic acids and various bases that make up the nucleic acids, and detection of viral proteins is rare. In this paper, the S protein of the new coronavirus (SARS-CoV-2) is used as the detection object, and with the label-free SERS detection method, the ordinary Raman spectra of solid and saturated liquid S protein of the SARS-CoV-2 and the SERS spectra of the low-concentration S protein of SARS-CoV-2 on the substrate of gold nanoparticles with a size of 40 nm are compared. The results show that it is completely feasible to use SERS technology to detect the S protein of SARS-CoV-2 on the substrate of 40 nm gold nanoparticles. The carboxyl groups in the S protein molecule of SARS-CoV-2 and gold nanoparticles are molecularly enhanced, and the amino groups and gold nanoparticles are electromagnetically enhanced, so that the Raman effect of the S protein of the SARS-CoV-2 is enhanced and the peak position is moved to a certain extent. The experiments obtained relatively good SERS spectra of the low-concentration S protein of SARS-CoV-2, which provides a method for the establishment of a sensitive, specific and rapid detection technology for the S protein of the SARS-CoV-2. © 2021, Editorial Office of High Power Laser and Particle Beams. All right reserved.