Nurses' Intentions for COVID-19 Vaccination in South Korea in 2022

Purpose: This study was to identify nurses' intentions for COVID-19 vaccination in 2022. Methods: A questionnaire survey was conducted among 222 nurses in Korea. The collected data were analyzed using the independent t-test, one-way analysis of variance, the Wilcoxon rank sum test, Pearson's correlation coefficients, and multiple regression analysis. Results: The score for intention to be vaccinated against COVID-19 in 2022 was 2.70 points on a 5-point scale, significantly lower than in 2020 (3.02 points on a 5-point scale). The average score for knowledge related to COVID-19 was 7.22 out of 10 points. Positive correlations were found between the intention for COVID-19 vaccination in 2022 and preventive health behavior, as well as between nurses' intentions for COVID-19 vaccination in 2022 and 2020. The factors affecting nurses' intentions for COVID-19 vaccination in 2022 were preventive health behavior (β=.11, p=.045) and nurses' intentions for COVID-19 vaccination in 2020 (β=.65, p<.001). This model showed a significant explanatory power of approximately 45% (F=36.88, p<.001) for the COVID-19 vaccination intention in 2022. Conclusion: This result points to the importance of managing nurses' preventive health behaviors to promote COVID-19 vaccination uptake. Nurses' vaccination intentions are an important issue for the safety of both nurses and patients. A safe vaccination environment and national policy should be prepared to reduce nurses' hesitations about COVID-19 vaccination. © 2023 Korean Academy of Fundamentals of Nursing.

Comparative efficacy evaluation of disinfectants against severe acute respiratory syndrome coronavirus-2.

BACKGROUND: Disinfection is one of the most effective ways to block the rapid transmission of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Due to the prolonged coronavirus disease 2019 (COVID-19) pandemic, disinfectants have become crucial to prevent person-to-person transmission and decontaminate hands, clothes, facilities and equipment. However, there is a lack of accurate information on the virucidal activity of commercial disinfectants. AIM: To evaluate the virucidal efficacy of 72 commercially available disinfectants constituting 16 types of ingredients against SARS-CoV-2. METHODS: SARS-CoV-2 was tested with various concentrations of disinfectants at indicated exposure time points as recommended by the manufacturers. The 50% tissue culture infectious dose assay was used to calculate virus titre, and trypan blue staining and CCK-8 were used to assess cell viability after 3-5 days of SARS-CoV-2 infection. FINDINGS: This study found that disinfectants based on 83% ethanol, 60% propanol/ethanol, 0.00108-0.0011% sodium dichloroisocyanurate and 0.497% potassium peroxymonosulfate inactivated SARS-CoV-2 effectively and safely. Although disinfectants based on 0.05-0.4% benzalkonium chloride (BAC), 0.02-0.07% quaternary ammonium compound (QAC; 1:1), 0.4% BAC/didecyldimethylammonium chloride (DDAC), 0.28% benzethonium chloride concentrate/2-propanol, 0.0205-0.14% DDAC/polyhexamethylene biguanide hydrochloride (PHMB) and 0.5% hydrogen peroxide inactivated SARS-CoV-2 effectively, they exhibited cytotoxicity. Conversely, disinfectants based on 0.04-4% QAC (2:3), 0.00625% BAC/DDAC/PHMB, and 0.0205-0.14% and 0.0173% peracetic acid showed approximately 50% virucidal efficacy with no cytotoxicity. Citric acid (0.4%) did not inactivate SARS-CoV-2. CONCLUSION: These results indicate that most commercially available disinfectants exert a disinfectant effect against SARS-CoV-2. However, re-evaluation of the effective concentration and exposure time of certain disinfectants is needed, especially citric acid and peracetic acid.

Virtual reality and augmented reality technologies for art education: The perceptions and responses of undergraduate students

The emergent culture of COVID-19 underscored a gap among generations with regard to their responses to new innovations in the education field. This article explores the educational potential of virtual reality (VR) and augmented reality (AR) for the secondary art curriculum through the perspectives and responses of undergraduate art students. The article examines the writing outcomes of a discussion board forum activity that I created to invite the students to share their responses to and reflections on the use of VR/AR technologies in visual art and art education. I share the students' perspectives on VR/AR use for studio art making under the following three themes: (1) excitement about the new art medium, (2) strengths and risks and (3) educational potential for K-12 curricuuse of VR/AR is also explored as a resource for art educators. I end the article by providing suggestions for art educators interested in incorporating VA/AR into their art lessons.

Bioinformatics analysis on structure and function and expression vector construction of SARS-CoV-2 related protein TMPRSS2

Aim Human TMPRSS2 is a transmembrane serine protease.In this paper, the structure and function of the protein were systematically analyzed by bioinformatics, the codon was optimized and the pro- karvotie expression vector was constructed to explore the molecular mechanism of SARS-CoV-2 infecting host cells.Methods The recombinant expression vector pET-22b-TMPRSS2 was generated by molecular cloning technology.The homology, functional sites, subcellular localization, three-dimensional structure and evolutionary characteristics of TMPRSS2 protein were systematically analyzed by using analytical tools such as Protparam, NetPhos3.1, Blast, Clustal X2 and MEGA7.0.Results The prokarvotic expression plas- mid was constructed correctly;TMPRSS2 belongs to medium molecular weight protein, which is composed of 492 amino acid residues.The theoretical isoelectric point is 8.12, the molecular extinction coefficient is 118 145 L * mol~1 * cm"1 , and the half-life is 30 h;TMPRSS2 has 15 potential glycosylation sites and 49 possible phosphorylation sites.It is a transmembrane hydrophilie protein without signal sequenee.In addition, the protein has 13 potential B-cell epitopes and 7 T-eell epitopes.Seeondarv structure analysis showed that random coil accounted for the highest proportion of TMPRSS2 protein ( 0.453 3) , followed by extended strand (0.252 0).Sequence comparison and evolutionary analysis showed that the highest sequence consistency and closest genetic relationship with human TMPRSS2 was Pan troglodytes, followed by gorilla.Conclusions Human-derived TMPRSS2 protein is ev- olutionarilv conserved and functionally important.Hie results of this study can help to reveal the structure and mechanism of action of TMPRSS2 protein, provide ideas for the diagnosis and treatment of COYID-19, and accelerate the research and development process of new drugs targeting TMPRSS2 protein. Copyright © 2022 Publication Centre of Anhui Medical University. All rights reserved.

Hospital logistics management in the context of the COVID-19 epidemic -A Case Study of The First Affiliated Hospital of Xi'an Jiaotong University

Novel coronavirus pneumonia (NCP), known as COVID-19 for short, is a new infectious disease that spreads rapidly. Since the outbreak of the epidemic, the global epidemic situation is still grim. It is necessary for a comprehensive grade triple-A hospital to strictly control the transmission risk in the hospital and ensure the life and health safety of medical staff, other patients and accompanying staff, in addition to fulfilling its responsibility of treating COVID-19 patients. In this context, unprecedented challenges have been posed to the routine work flow of the hospital, including personnel management, system construction, supply and logistics support, and infection control. The paper summarizes the experience in hospital logistics support management, aiming at exploring strategies for coping with the COVID-19 epidemic. Copyright © 2022, Editorial Board of Journal of Xi'an Jiaotong University (Medical Sciences). All right reserved.

Patient Satisfaction of Teleneurology during COVID-19 Pandemicin Detroit

Objective: Assess patient satisfaction of telemedicine implementation during the COVID-19 pandemic Background: We aimed to learn neurology clinic patient opinions of a new telemedicine clinic during the COVID-19 pandemic in an urban academic center. Design/Methods: We conducted surveys on neurology clinic patients or caregivers with consent who had ≥ 1 telemedicine visit during the COVID-19 pandemic. The patient survey was adapted, with permission, on the Massachusetts General Hospital TeleHealth Virtual Visit Patient survey and responses were managed using REDCap database. Results: Forty-one patient surveys were completed, of which 52.6% of responders were Black, and 65.8% were women. Over 55% of patients were 18-45 years old. Fifty-eight percent of patients had education beyond a high-school diploma. Sixty-five percent of patients had their first telemedicine visit during the pandemic and most of them were at home (97%). Fifty-nine percent used smart phones, 25.6% had a cell phone without video capacity, and 92.1% used their own device. Wi-Fi was used by 67.6% and 27% used cellular network data. Twenty-five percent of patients experienced some technical issues and over 50% was specifically with joining a video visit. Despite the technical issues, more than 75% of patients reported that they still received the care they needed. Overall positive rating was 67.5%. Four patients strongly disliked telemedicine. Eighty-seven percent reported their virtual visit is as effective as a traditional office visit in communicating their needs. Compared to virtual visit, 49% of patients felt more confident that an office visit would address their health concern better. Fifty percent of patients reported that an office visit had better overall quality. Eighty-three percent would recommend a virtual visit to their family and friends. Conclusions: Our study demonstrated telemedicine has received high overall patient satisfaction in an urban-based neurology clinic. More surveys need to be completed to determine clinical significance.

Isolation, connection, and embracement: Exploring students’ perspectives on virtual art education during the pandemic

Utilizing storytelling, two art educators explore how their undergraduate students experienced the transition to online education after the outbreak of COVID-19. Three themes are examined based on the students’ reflections: (1) new characteristics of and experiences within virtual learning, (2) isolation and connection, and (3) embracement and adjustment. The participating students shared their course experiences, with regard to the changes in course design and structure made due to the abrupt transition to online instruction. The participating students felt some loneliness due to isolation and social distancing. They experienced multilayered connections purposefully made through learning communities, small groups, student pairs, and student-instructor communication using discussion boards, emails, group chat, personal webpages, and Canvas messages and feedback. We suggest that exchanging narratives about students’ learning and art making experiences helps educators build their own teaching communities and serves as a strategy to overcome challenges and develop resilience in uncertain times full of changes and transitions. ©, Curriculum and Pedagogy Group.

La batalla contra la enfermedad del Coronavirus 2019 (COVID-19): Manejo de Emergencia y Control de Infecciones en un Departamento de Radiologia

OBJETIVO: Describir las estrategias, manejo de emergencias y los procedimientos de control de infecciones de nuestro departamento durante el brote de la enfermedad por coronavirus 2019 (COVID-19). MeTODOS: Creamos un equipo de manejo de emergencias. El equipo establecio varias medidas: Reconfiguracion del flujo de trabajo en el departamento de radiologia, distribucion de material de proteccion personal y adiestramiento del personal, procedimientos para la obtencion de imagenes en pacientes sospechosos o confirmados con COVID-19, asi como para pacientes sin historial de exposicion o sintomas. Aquellos con sospecha o confirmacion de COVID-19 fueron escaneados en una unidad dedicada para ello. RESULTADOS: Del 21 de enero del 2020 hasta el 9 de marzo del 2020, 3,083 personas con sospecha o confirmacion de COVID-19 recibieron CT de torax. Incluyendo los examenes iniciales y repetidos, el numero total de CT fue 3,340. Como resultado de nuestras medidas de precaucion, ninguno de los miembros del personal del departamento de radiologia fue infectado con COVID-19. CONCLUSIoN: Las estrategias de planificacion y las protecciones adecuadas pueden ayudar a proteger a los pacientes y al personal contra una enfermedad altamente infecciosa. Y a la misma vez ayudar a mantener la capacidad de atender un volumen alto de pacientes.

Explosive Cyber Security Threats During COVID-19 Pandemic and a Novel Tree-Based Broad Learning System to Overcome

The rapid spread of the COVID-19 has not only affected personal health and economy, but also revolutionized people's lifestyles. As more people turn to work and socialize online, the development of unmanned technologies based on the Internet of Vehicles (IoV), such as unmanned delivery, unmanned vehicles, unmanned transportation, etc., will become an inevitable trend. However, all kinds of intelligent terminals for unmanned equipment require a large amount of data interaction with devices such as cloud servers, mobile terminals, and roadside terminals, which poses cyber security risks. Furthermore, the outbreak of COVID-19 has prompted people to put forward higher demands for the security of network communications. Unfortunately, the current intrusion detection methods based on machine learning still have weaknesses such as low accuracy and low efficiency when faced with unbalanced data distribution. To solve the above problems, we propose a novel Tree-based BLS (TBLS) intrusion detection method according to the idea of ensemble learning and decision tree (CART and J48). The performance of TBLS was tested on the NSL-KDD dataset and the UNSW-NB15 dataset respectively, which contain a variety of malicious traffic types for attacks on the IoV. The results show that our proposed method can achieve higher accuracy rate and lower false alarm rate, compared with the existing 16 solutions. IEEE

A Novel Machine Learning-Assisted Policy Recommendation Method on COVID-19 Vaccination Campaign

As the most serious global infectious disease in the past 100 years, it has caused severe loss of life and property to countries and their people worldwide in the past year. As the most powerful tool in the fight against the epidemic, how to quickly promote the COVID-19 vaccine administration plays a vital role in gradually establishing an immune barrier in the population as soon as possible and blocking the COVID-19 epidemic. In this paper, we provide a machine learning-based policy recommendation method on the vaccination campaign of COVID-19 by minimizing three different cost factors: the duration of the pandemic, the budget of the COVID-19 battle as well as the death toll. To generate a more efficient vaccination policy, we construct an Age-stratified Susceptible-Infected-Recovered (ASSIR) model. We validate our method based on the real-world dataset of India by comparing our simulated results with the government's vaccination plan from machine learning prediction. Our approach shows a 13% decrease in disease control time and government budget. At the same time, we find out that vaccination based on each province's population leads to a 12.4% decrease in the death toll than on infection cases. The model developed in this study has practical implications for COVID-19 vaccination campaigns and the infection control of other infectious diseases. © 2021 IEEE.

POSTER ABSTRACTS: P65 RAPID INNOVATION AND IMPLEMENTATION OF TELEMEDICINE FOR CONTRACEPTION: PROVIDERS’ PERSPECTIVES

Objectives: Many family planning providers faced disruptions to service delivery from the COVID-19 pandemic and needed to quickly implement telemedicine for contraceptive care. This study describes how Illinois providers responded to the uptake of telemedicine. Methods: We interviewed clinicians (n=20) from non-Planned Parenthood clinics (July – September 2020) and clinicians and staff (n=17) from Planned Parenthood of Illinois sites (December 2020 – March 2021) across the state. Interviews were conducted by phone or video, audio-recorded, transcribed, and coded in Dedoose. Analysis revealed themes focusing on telemedicine's effects on patient care and access to comprehensive contraceptive services, and on steps needed to improve telemedicine and sustain its benefits post-pandemic. Results: Interviewees expressed mostly positive attitudes towards telemedicine, highlighting its utility for counseling and prescription contraceptive methods, with additional benefits for rural patients and patients facing transportation, childcare, or other barriers to in-person visits. Challenges included rapid telemedicine rollout, patient barriers to accessing technology platforms, and reduced access to long-acting reversible contraception (LARC). Providers implemented changes to mitigate barriers, such as prioritizing same-day LARC insertion and removals, and eliminating required post-LARC follow-up visits. Providers noted virtual visits enhanced privacy for some and compromised privacy for others. All participants observed that continuation of telemedicine contraceptive services would depend on equitable reimbursement for telehealth services. Conclusions: Telemedicine contraception services can enhance access for patients who face barriers to care beyond those created by the pandemic. However, reimbursement parity for providers, patient-centered flexibility regarding telemedicine options, and measures to ensure access to all methods are important for long-term success.

Novel coronavirus pneumonia based on the DingTalk platform teaching method in the teaching of Pathogenic Biology

Objective: To evaluate the teaching method based DingTalk combined PBL teaching method and CBL teaching method in the teaching of pathogenic biology under novel coronavirus pneumonia enviroment. Methods: 48 undergraduates of grade 2018 were selected as the experimental group, and 48 undergraduates of grade 2017 were selected as the control group. After class, the theory test and microbiological test knowledge test and questionnaire were as the assessment index. Results: the scores of mastering microbial inspection knowledge and satisfaction in the experimental group were significantly higher than those in the control group, and the difference was statistically significant (P < 0.05). Conclusion: compared with the traditional teaching method, PBL + CBL teaching method based on DingTalk platform is more popular with students, which can mobilize their learning initiative and improve their ability. © The Authors, published by EDP Sciences, 2021.

Obstacle Avoidance Prediction System of Hospital Distribution Robot Based on Deep Learning

With the global outbreak of COVID-19, the normalization of epidemic is a serious fact that people have to deal with. In this paper, obstacle avoidance prediction system based on deep learning is designed to forecast and avoid obstacles. The system firstly is used the bidirectional cyclic neural network to predict pedestrian trajectory to generate dynamic obstacle information. With dynamic obstacle information into global information, the hospital distribution robot with the system can load static obstacle information and merge. The effectiveness of the system is verified through simulation experiments in two scenarios of complex areas and straight corridors in the hospital. Simulation experiments show that it realizes global path planning through dynamic window method. The obstacle avoidance prediction system of this paper can avoid direct contact between doctors and mild patients and reduce the workload of medical staff and the risk of infection effectively. © 2021 IEEE.

Mental health status of residents in a Beijing community during COVID-19 epidemic period

Objective: To survey the mental health status and related factors of residents in a Beijing community during Coronavirus diease 2019 (COVID-19) epidemic period. Methods: A total of 765 residents aged ≥18 year from Beijing Yuetan subdistric, including 238 males and 527 females, were enrolled in our study on March 2020. The knowledge and attitude to COVID-19 were surveyed with online questionnaire and the mental health status was assessed with Generalized Anxiety Disorder (GAD-7) and Patient Health Questionnaire (PHQ-9). The influencing factors of mental status were analyzed. Results: The awareness rate of transmission routes, the prevention and control measures of the COVID-19 was 92.94% (711/765) and 97.25% (744/765). The rates of anxiety and depression were 35.29% (270/765) and 31.50% (241/765);the severe anxiety (GAD-7>14) rate was 6.01% (46/765), and the severe depression rate (PHQ-9>19) was 1.43% (11/765), There was significant difference in depression rate among different age groups (χ2=0.338, P<0.05). Conclusion: Under the threaten of COVID-19, the incidence of mental disorder among residents in the community has increased, indicating more attention should be paid to psychological heath during the COVID-19 epidemic period. © 2020 Chinese Medical Association

Application of "Universal Formula" in the prevention and treatment of COVID-19 and its innovative development

In the history of fighting the plague, traditional Chinese medicine (TCM) has the tradition of using "Universal Formula" with "cauldron boiling medicine". The practice of prevention and treatment of plague with "Universal Formula" is not only one of the important characteristics of TCM, but also deeply embodies the scientific connotation of the plague prevention and control model of "disease differentiation and treatment" combined with "syndrome differentiation and treatment". In the battle against COVID-19, a batch of contemporary anti-epidemic "Universal Formula" represented by "Hanshiyi Formula (Wuhan anti-epidemic prescription)" and "Qingfei Paidu Decoction" were used for both treatment and prevention. It covered a large number of people and had significant clinical effects. It has become a sharp weapon for TCM to intervene in anti-epidemic work. The "Universal Formula" used in the prevention and treatment of COVID-19 not only retains the essence of the traditional "Universal Formula" for anti-epidemic, but also has innovations in legislative prescriptions, drug formulations, drug distribution forms, medication guidance, and drug efficacy research, which reflects the development of the anti-epidemic with "Universal Formula". This article discussed the overview and diagnosis of the plague and treatment model of "disease differentiation and treatment" combined with "syndrome differentiation and treatment", the theoretical basis of anti-epidemic theory of "Universal Formula", and the innovation and development of the application of "Universal Formula". Under the background of science and technology, the important value and strategic path of "Universal Formula" will be used to help the in-depth development of anti-epidemic work of TCM in the face of new and sudden large-scale plagues in the future. © 2020, Chinese Journal of New Drugs Co. Ltd. All right reserved.

Interpretation of the Traditional Chinese Medicine portion of the diagnosis and treatment protocol for corona virus disease 2019 (Trial Version 7)

The TCM protocol in the Diagnosis and Treatment Protocol for corona virus disease 2019 (COVID-19) (Trial Version 7) has been updated from previous versions. The protocol was formulated under the direct leadership of the National Administration of Traditional Chinese Medicine, based on the experience of a panel of experts, supported by evidence from fever clinics and from the outcomes of emergency (EM) observation rooms and inpatients throughout China (especially in Wuhan, Hubei Province) in combination with the latest scientific research results and data. The present interpretation of the TCM protocol is based on an overall understanding of the revised content, and aims to guide and standardize its clinical application to provide a reference for clinicians.