Management and standardization of hemodialysis centers in lockdown areas under the epidemic of coronavirus disease 2019.

Maintenance hemodialysis patients need to return to hospital 3 times a week for routine hemodialysis treatment. In the case of coronavirus disease 2019 (COVID-19) and regional lockdown, a set of management systems and standardizations has been established in our hemodialysis center, including forward movement of the critical nodes of treatment, specialists pooling program for hemodialysis technology, and dynamic bubble personnel management, to implement dynamic prevention and control strategies, precise management of inpatient wards and closed-loop management of outbreaks. While improving the management of our own hemodialysis center, it is recommended to strengthen multi-center collaboration to build a municipal grid management system for hemodialysis and explore different dialysis strategies for end-stage renal disease to meet the treatment needs and safety management of maintenance hemodialysis patients in lockdown areas under the epidemic.Copyright © 2022, Second Military Medical University Press. All rights reserved.

Management and standardization of hemodialysis centers in lockdown areas under the epidemic of coronavirus disease 2019

Maintenance hemodialysis patients need to return to hospital 3 times a week for routine hemodialysis treatment. In the case of coronavirus disease 2019 (COVID-19) and regional lockdown, a set of management systems and standardizations has been established in our hemodialysis center, including forward movement of the critical nodes of treatment, specialists pooling program for hemodialysis technology, and dynamic bubble personnel management, to implement dynamic prevention and control strategies, precise management of inpatient wards and closed-loop management of outbreaks. While improving the management of our own hemodialysis center, it is recommended to strengthen multi-center collaboration to build a municipal grid management system for hemodialysis and explore different dialysis strategies for end-stage renal disease to meet the treatment needs and safety management of maintenance hemodialysis patients in lockdown areas under the epidemic.Copyright © 2022, Second Military Medical University Press. All rights reserved.

An overview of bioinformatics technology application in the study of novel coronavirus

Bioinformatics technology has many applications in the research of novel coronavirus SARS-CoV-2. By sequencing the whole genome of the collected samples, the target genetic code can be obtained. The analysis of sample virus strains on the genetic information level could help study the mutation degree and evolution process of the virus, providing help for tracing the source of the virus, and finally guiding the prevention and control of the epidemic situation. However, the variants of SARS-CoV-2 have evolved rapidly, which has brought challenges to vaccine research and development, as well as epidemic prevention and control. In this paper, the bioinformatics technology applied in the relevant research of novel coronavirus is comprehensively described. Researchers can provide effective information for virus tracing by using second-generation and third-generation sequencing and nucleic acid analysis. © 2023 SPIE.

GeoInfographic design of the multi-spatiality of borders: A case study of epidemic prevention and control in Ruili, China

We live in a world of borders, which influence our perception and movement. Traditional mapping techniques show limitations as borders have become shifting and complex, and borders' multi-scale and multi-spatial properties have been strengthened significantly. To fill the knowledge gap, we explored the multi-spatiality of borders and provided approaches for border symbol design and visualization by taking the coronavirus-hit border city, Ruili, China, as an example. This work could shed light on multi-spatial geographic visualization and policy-making.

Rashes caused by arbidol in a patient with novel coronavirus pneumonia.

A 50-year-old male patient with agitated depression and hyperlipemia received oral amoxicillin and clavulanate potassium 0.5 g once daily and 2 lopinavir and ritonavir tablets twice daily for novel coronavirus infection, based on previous drugs including quetiapine, clonazepam, and atorvastatin calcium. After 3 days, lopinavir and ritonavir was changed to oral arbidol 200 mg, thrice daily due to suspicious drug interaction. After taking arbidol for 3 days, the patient developed red papules on the whole body. Considering that it might be related to amoxicillin and clavulanate potassium, the drug was stopped and loratadine was given. But the rashes were aggravated. Considering that the drug eruption was caused by arbidol, arbidol was discontinued and the rashes subsided in a large area the next day. Then vitamin C injection, calcium gluconate injection, and ribavirin were added. After 5 days, the rashes subsided completely. After 17 days, the patient recovered from pneumonia.Copyright © 2020 by the Chinese Medical Association.

Expert consensus on diagnosis and treatment of adult mental stress-induced hypertension in China (2022 Revision): Part B

Mental stress has been recognized as an essential risk factor for hypertension. Therefore, experts specializing in cardiology, psychiatry, and Traditional Chinese Medicine organized by the Psycho-cardiology Group, College of Cardiovascular Physicians of Chinese Medical Doctor Association, and Hypertension Group of the Chinese Society of Cardiology proposed the expert consensus on the diagnosis and treatment of adult mental stress-induced hypertension in March 2021, which includes the epidemiology, etiology, diagnosis, and treatment of the mental stress-induced hypertension. This consensus will hopefully facilitate the clinical practice of this disorder. In addition, the COVID-19 pandemic has become one of the primary global sources of psychosocial stressors since the beginning of 2020, and the revision of this expert consensus in 2022 has increased the relevant content. This consensus consists of two parts. The sections of Part A include (I) Background and epidemiological characteristics, (II) Pathogenesis, and (III) Diagnosis. The sections of Part B contain (IV) Treatment recommendations, and (V) Prospects. This article presents Part B of the consensus. © 2022 Heart and Mind ;Published by Wolters Kluwer - Medknow.

Expert consensus on diagnosis and treatment of adult mental stress induced hypertension in China (2022 revision): Part A

Mental stress has been recognized as an essential risk factor for hypertension. Therefore, experts specializing in cardiology, psychiatry, and Traditional Chinese Medicine organized by the Psycho-Cardiology Group of College of Cardiovascular Physicians of Chinese Medical Doctor Association and Hypertension Group of Chinese Society of Cardiology proposed the expert consensus on the diagnosis and treatment of adult mental stress-induced hypertension in March 2021, which includes the epidemiology, etiology, diagnosis, and treatment of the mental stress-induced hypertension. This consensus will hopefully facilitate the clinical practice of this disorder. In addition, the COVID-19 pandemic has become one of the primary global sources of psychosocial stressors since the beginning of 2020, and the revision of this expert consensus in 2022 has increased the relevant content. This consensus consists of Part A and Part B. Part A includes (I) Background and epidemiological characteristics, (II) Pathogenesis, and (III) Diagnosis and Part B includes (IV) Treatment recommendations and (V) Prospects. This part presents the content of Part A. © 2022 Heart and Mind ;Published by Wolters Kluwer - Medknow.

Plant-derived nanovesicles: further exploration of biomedical function and application potential

Extracellular vesicles (EVs) are phospholipid bilayer vesicles actively secreted by cells, that contain a variety of functional nucleic acids, proteins, and lipids, and are important mediums of intercellular communication. Based on their natural properties, EVs can not only retain the pharmacological effects of their source cells but also serve as natural delivery carriers. Among them, plant-derived nanovesicles (PNVs) are characterized as natural disease therapeutics with many advantages such as simplicity, safety, eco-friendliness, low cost, and low toxicity due to their abundant resources, large yield, and low risk of immunogenicity in vivo. This review systematically introduces the biogenesis, isolation methods, physical characterization, and components of PNVs, and describes their administration and cellular uptake as therapeutic agents. We highlight the therapeutic potential of PNVs as therapeutic agents and drug delivery carriers, including anti-inflammatory, anticancer, wound healing, regeneration, and antiaging properties as well as their potential use in the treatment of liver disease and COVID-19. Finally, the toxicity and immunogenicity, the current clinical application, and the possible challenges in the future development of PNVs were analyzed. We expect the functions of PNVs to be further explored to promote clinical translation, thereby facilitating the development of a new framework for the treatment of human diseases.Copyright © 2023 Chinese Pharmaceutical Association and Institute of Materia Medica, Chinese Academy of Medical Sciences

Opportunities Presented by COVID-19 for Healthcare Green Supply Chain Management and Sustainability Performance: The Moderating Effect of Social Media Usage

This research explores the opportunities presented by COVID-19 for green supply chains' environmental practices and ecological sustainability performances in the healthcare sector. This study investigates the connections between uncertainty-fear of COVID-19, healthcare green supply chain management (GSCM), and the three pillars of a firm's sustainability performance (environmental, economic, and social). Moreover, this study examines the moderating role of social media usage (SMU) on the effect of uncertainty-fear of COVID-19 on healthcare-GSCM. When conducting the empirical part, this study uses the partial least squares structural equation modeling method based on a sample of 483 healthcare managers. The findings prove that the uncertainty-fear of COVID-19 has a beneficial impact on healthcare-GSCM. Besides, SMU moderates the relationship between uncertainty-fear of COVID-19 and healthcare-GSCM, indicating the importance of SMU in gathering information for the healthcare sector during COVID-19. Likewise, when interacting with healthcare firms' sustainability performances, healthcare-GSCM positively impacts environmental and social performances, though it has a negligible impact on economic performance. This study adds to the “social cognitive theory”by introducing the concept of uncertainty-fear of COVID-19. Furthermore, this research adds to the “resource-based view theory”and the “knowledge-based view theory”by exploring the SMU's role during the outbreak. IEEE

Efficient Online and Privacy-preserving Medical Pre-diagnosis Based on Growing Learning Vector Quantization

With more and more people turning to online medical pre-diagnosis systems, it becomes increasingly important to protect patient privacy and enhance the accuracy and efficiency of diagnosis. That is because the ever rapidly growing medical records not only contain a large amount of private information but are often highly unequally distributed (e.g., the number of cases and the rate of increase of covid-19 can be much higher than that of common diseases). However, existing methods are not capable of simultaneously boosting the intensity of privacy protection, and the accuracy and efficiency of diagnosis. In this paper, we propose an online medical pre-diagnosis scheme based on incremental learning vector quantization (called WL-OMPD) to achieve the two objectives at the same time. Specifically, within WL-OMPD, we design an efficient algorithm, Wasserstein-Learning Vector Quantization (W-LVQ), to smartly compress the original medical records into hypothetic samples. Then, we transmit these compressed data to the cloud instead of the original records to offer a more accurate pre-diagnosis. Extensive evaluations of real medical datasets show that the WL-OMPD scheme can improve the imbalance ratio of the data to a certain extent and then the intensity of privacy protection. These results also demonstrate that WL-OMPD substantially boost the accuracy of the classification model and increase diagnostic efficiency at a lower compression rate. © 2022 IEEE.

PVT-COV19D: COVID-19 Detection Through Medical Image Classification Based on Pyramid Vision Transformer

With the outbreak of COVID-19, a large number of relevant studies have emerged in recent years. We propose an automatic COVID-19 diagnosis model based on PVTv2 and the multiple voting mechanism. To accommodate the different dimensions of the image input, we classified the images using the Transformer model, sampled the images in the dataset according to the normal distribution, and fed the sampling results into the PVTv2 model for training. A large number of experiments on the COV19-CT-DB dataset demonstrate the effectiveness of the proposed method. Our method won the sixth place in the (2nd) COVID19 Detection Challenge of ECCV 2022 Workshop: AI-enabled Medical Image Analysis - Digital Pathology & Radiology/COVID19. Our code is publicly available at https://github.com/MenSan233/Team-Dslab-Solution. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Retrospective Analysis of the Duration of Hospitalization of Imported Patients Infected with SARS-CoV-2 in Guangzhou, 2021

The pandemic of coronavirus disease 2019 is "not over,"in fact, the "dynamic clearing"policy for SARS-CoV-2 control and prevention in China has been firmly enforced. This study aimed to analyze the clinical symptoms and dynamic viral RNA changes in 2021 at Guangzhou Eighth People's Hospital. This study showed that 31.4% of the patients (695/2212) tested negative for viral RNA from admission to the final release from quarantine. Of all negative cases, 86.5% (601/695) remained in the hospital for no more than 5 days and were asymptomatic or mild. Among the remaining 402 patients who stayed for no more than 5 days, 76.4% (307/402) were viral RNA retest positive during the isolation stage. However, 96.4% of the peak viral RNA (296/307) was over Ct = 33 cycles during the isolation stage. © Wolters Kluwer Health, Inc. All rights reserved.

Prediction of COVID-19 Confirmed Cases Combining The LSTM Model and Evolutionary Strategy

In the global response to the COVID-19 epidemic, a reasonable prediction of the number of infections is a significant reference to reveal the trend of the outbreak and help governments take appropriate action. In this paper, we propose a new ES-LSTM model to predict the growth rate of the number of new infections per day and use a feature processor to address interventions in time series to quantify the impact of interventions to slow the spread of the outbreak. The evolutionary strategy is used to handle the problem that different interventions have different impacts on outbreak prevention and control, as well as optimize model weight to improve the accuracy of prediction results. Experimental results demonstrate that compared to the Linear model, CNN model, and the LSTM model, the MAE of the algorithm is enhanced by 72.9%, 27.6%, and 26.3%, and the RMSE is improved by 74.15%, 31.4%, and 29.5% respectively. © 2022 IEEE.

Researches Advanced in Medical Detection based on Deep Learning

Medical image analysis based on computer vision technology has always been a research hotspot in the community, which aims to assist doctors in diagnosis by accurately analyzing pathological images to divide the patient's condition and the patient's lesions. Thanks to the rapid development of deep learning, the application of computer image recognition technology in medicine is becoming more and more widespread, while still facing a series of challenges such as low data set data, insufficient performance of algorithms and fine delineation of lesions. In order to solve these problems, based on extensive literature research, this paper first compares the algorithms in the application for Corona Virus Disease 2019, skin cancer and liver cancer. Then we introduce the improvement of these algorithms by expanding the number of data sets, optimizing the algorithms, and fitting the neural networks and models, whcih can improve the accuracy of image recognition technology to assist doctors in identifying lesions in clinical practice. The algorithms are further compared quantitatively on the basis of the training set in clinical diseases, and the difficulties to be overcome in image recognition and the future development trend are explained and predicted from the analysis of the comparison. Many new algorithms and excellent models are being gradually improved with the development of the times, and image recognition technology will also develop towards more research fields in the future. © 2023 SPIE.

Agenda-Setting of the Public Health Emergencies (COVID-19) Based on Audience's Perspective

The outbreak of sudden public health incidents notes the agenda setting of the media in the process of message diffusion, but the audience's expectation for the media framework is seldom paid attention to. Through an online questionnaire, the media usage, satisfaction, intuitive evaluation of different message framing and placement methods of the audience (N=401) are investigated. The results notes that: audiences attach the most importance to message placement and gain-framing, where the importance of message placement is basically the same as the agenda setting of official media;audiences are satisfied with media coverage overall and are most concerned about the speed of media response, while the ability to deal with false message needs to be improved;some audiences attach equal importance to additional message on sudden public events. This study proposes an audience-led agenda-setting in response to public health emergencies, providing a new perspective to understand the audience's message needs and agenda setting. © 2022 ACM.

Reconstruction of Digital Chemistry Lab by Incorporating Virtual Reality Platform

Virtual reality (VR) is gaining popularity these days for a variety of reasons, the most prominent of which is the Covid-19 scenario. This article outlines a strategy for restoring people's lives and allowing them to work from home, as well as bringing people together on a common platform to cheer them up. At Chulalongkorn University, the work technique was used to create a virtual three-dimensional (3D) chemistry lab. Many tactics were adopted and carried out step by step to provide a genuine experience of the lab when creating a virtual lab. Using Unity, a cross-platform game engine, the 3D model was then used to create an immersive and interactive VR experience. The final output is an immersive and interactive virtual reality environment with information constructed using Unity. © 2022 IEEE.

Analysis on epidemiological characteristics of public health emergencies of communicable diseases in Shenzhen from 2016 to 2020

Objective To analyze the epidemiological characteristics of surveillance results of public health emergencies of communicable diseases in Shenzhen from 2016 to 2020. Methods The data of public health emergencies in Shenzhen from 2016 to 2020 were derived from National Public Health Emergency Reporting Management Information System, the occurrence characteristics of epidemic outbreak were analyzed by disease types, regions and institution types, and SPSS 22. 0 was used for statistical analysis. Results The events of COVID-19 reported in 2020 were excluded,a total of 233 public health emergencies of for communicable diseases were reported, with 6 271 cases and 2 deaths were reported in Shenzhen from 2016 to 2020. The attack rate was 3. 87%, and the fatality rate was 0. 03%. The highest prevalence rate was 5. 20% in 2018. There were 164 clustered epidemic events, accounting for 70. 39% of the total information related to public health emergencies, involving 7 types of communicable diseases. Chicken pox (100 incidents,3 565 cases) and infectious diarrhea (41 incidents, 1 491 cases) were the found to be the most common diseases, accounting for 60. 98% and 25. 00% of the total clustered epidemic events, respectively. There were 78. 45% of the clustered events of respiratory communicable diseases occurred in primary schools, and 58. 33% of the clustered events events of intestinal diseases occurred in kindergartens. The difference was statistically significant in the composition ratio of the two kinds of communicable diseases in kindergartens, primary schools, middle schools, high schools, colleges and universities and other places. Conclusion A comprehensive prevention and control strategy should be adopted. The comprehensive control strategies should be formulated from aspects including the reduction of population susceptibility, implementing of early reporting and school suspension measures, monitoring of epidemic strains, and strengthening of personal hygiene protection habits for communicable diseases with high risk among different populations. © 2022, Editorial Department of Medical Pest Control. All rights reserved.

Suppress the aerosol generation from the air turbine handpiece in dental clinics

The COVID-19 pandemic imposes a severe challenge to the health care providers and patients in dental clinics as the dental procedures produce abundant airborne materials. Although dental practices use a multi-layered protective procedure to reduce the potential danger from dental aerosols, it is still beneficial to suppress the aerosol generation from the origin as much as possible. Reducing the aerosol generation (especially the droplets of smaller diameters) from the very beginning will ease the burden on all subsequent layers of protection. In this work, we first provide a relatively complete picture of the structure of the spray produced by the air turbine handpiece. We found that the spray consists of two domains: one is the canopy shaped centrifugal zone and the other is a dense ballistic spray core. The droplets from the centrifugal zone are much smaller than those of the spray core and, hence, are more prone to stay in the air. The location of the centrifugal zone also makes it more challenging to be contained by the mouth or rubber dam. To suppress the atomization of the centrifugal zone, we used the food-additive carboxymethylcellulose sodium (CMC-Na) water solutions of different concentrations. The data show that the viscoelastic property of the 0.5 wt. % CMC-Na water solution can effectively suppress the aerosol generation of the centrifugal zone. (C) 2022 Author(s).