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Coronavirus disease 2019(COVID-19) poses a challenge to hospitals for the prevention and control of public health emergencies. As the main battlefield of preventing and controlling COVID-19, large public hospitals should develop service protocols of diagnosis and treatment for outpatient, emergency, hospitalization, surgery, and discharge. The construction of medical protocols should be based on the risk factors of key points and focused on pre-inspection triage and screening, to establish a rapid response mechanism to deal with exogenous and endogenous risk factors. Implementation of all-staff training and assessment, strengthening the information system, and use of medical internet service are important. This study explores the construction of medical protocols in large public hospitals during the pandemic, and provides a reference for the orderly diagnosis and treatment in hospitals during the pandemic.Copyright © 2021, Peking Union Medical College Hospital. All rights reserved.
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COVID-19 has spread around the world since 2019. Approximately 6.5% of COVID-19 a risk of developing severe disease with high mortality rate. To reduce the mortality rate and provide appropriate treatment, this research established an integrated models with to predict the clinical outcome of COVID-19 patients with clinical, deep learning and radiomics features. To obtain the optimal feature combination for prediction, 9 clinical features combination was selected from all available clinical factors after using LASSO, 18 deep learning features from U-Net architecture, and 9 radiomics features from segmentation result. A total of 213 COVID-19 patients and 335 non-COVID-19 patients from 5 hospitals were enrolled and used as training and test sample in this research. The proposed model obtained an accuracy, precision, recall, specificity, F1-score and ROC curve of 0.971, 0.943, 0.937, 0.974, 0.941 and 0.979, respectively, which exceeds the related work using only clinical, deep learning or radiomics factors. © 2023 SPIE.
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Herein, refined LaxCa0.89-xSr0.11MnO3 (LCSMO, x = 0.65, 0.68, 0.71 and 0.74) films were prepared through the sol-gel spin-coating. The influence of La3+ content on the structural properties of LCSMO films was investigated by X-ray diffraction and Atomic force microscope, demonstrating that LCSMO films can grow well on SrTiO3 (00l) substrate. Besides, X-ray photoemission spectroscopy verified the double exchange (DE) effect was weakened with La3+ dopant. The La3+ doping and interconnected grains boundaries (GBs) led to the weakening DE effect and GBs scattering, respectively. Due to superior GBs connectivity, the resistivity of LCSMO films was less than 7.1 x 10(-4) Omega.cm at low temperature of 100 K. Importantly, it is an effective control method to keep the temperature (T-k) corresponding to temperature coefficient of resistivity (TCR) at room temperature with Sr2+ content as constant in LCSMO films. At x = 0.71, the peak TCR value was found to be 8.84%/K and corresponding T-k was 283.15 K. These results are beneficial for advanced application of uncooling infrared bolometer.
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[Background] Since the outbreak of COVID-19, primary health care workers have been facing un-precedented work pressure, and their occupational stress should be taken seriously. [Objective] To analyze the occupational stress situation and its influencing factors of primary health care workers in Guangdong Province, and to propose targeted interventions. [Methods] Using a multi-stage stratified random sampling method, each prefecture-level city in Guangdong Province was classified into "good", "medium", or "poor" category based on its gross domestic product (GDP) in 2019 released by the Guangdong Provincial Bureau of Statistics. In September 2021, four primary health care institutions were randomly selected from each stra-tum, and a total of 1 327 staff members were selected for the study. The Core Occupational Stress Scale (COSS) and a basic information questionnaire designed by the authors were used. Mann-Whitney U test was used to compare the means between two groups, and Kruskal-Walis H test was used to compare the means among multiple groups. The comparison of categorical data was performed by trend chi2 test or Pearson chi2 test;the analysis of factors influencing occupational stress was performed by dichotomous multiple logistic regression analysis. [Results] There were 365 health care workers reporting occupational stress in this survey, and the positive rate of occupational stress was 27.5%. The total occupational stress score in M (P25, P75) and the scores of social support, organization and reward, demand and effort, and control were 45.0 (40.0, 50.0), 20.0 (17.0, 21.0), 14.0 (12.0, 17.0), 12.0 (10.0, 15.0), and 5.0 (4.0, 6.0), re-spectively. The results of dichotomous multiple logistic regression analysis showed that high education, low income, doctor positions, long working hours in a day, and shift work were associated with the occurrence of reporting occupational stress (P < 0.05). [Conclusion] Education, average monthly income, job category, daily working hours, and shifts are factors influencing the occurrence of reporting occupational stress in primary health care workers;targeted interventions should be implemented to reduce their occupational stress levels.Copyright © 2023, Shanghai Municipal Center for Disease Control and Prevention. All rights reserved.
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Metapopulation models have been a popular tool for the study of epidemic spread over a network of highly populated nodes (cities, provinces, countries) and have been extensively used in the context of the ongoing COVID-19 pandemic. In the present work, we revisit such a model, bearing a particular case example in mind, namely that of the region of Andalusia in Spain during the period of the summer-fall of 2020 (i.e., between the first and second pandemic waves). Our aim is to consider the possibility of incorporation of mobility across the province nodes focusing on mobile-phone time-dependent data, but also discussing the comparison for our case example with a gravity model, as well as with the dynamics in the absence of mobility. Our main finding is that mobility is key toward a quantitative understanding of the emergence of the second wave of the pandemic and that the most accurate way to capture it involves dynamic (rather than static) inclusion of time-dependent mobility matrices based on cell-phone data. Alternatives bearing no mobility are unable to capture the trends revealed by the data in the context of the metapopulation model considered herein.
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COVID-19 , Humans , COVID-19/epidemiology , Pandemics , Models, Biological , Mathematical Concepts , TimeABSTRACT
Vaccines have made great contributions to the prevention of infectious diseases, but vaccine hesitancy is widespread in the world. The reasons for vaccine hesitancy are complex, but the main reasons are the lack of public awareness of vaccine-preventable diseases and the lack of confidence in vaccine effectiveness and safety. In the context of the continuous spread of the coronavirus disease 2019 (COVID-19) epidemic, boosting public confidence and ensuring the orderly development of the vaccination work of COVID-19 vaccines and conventional vaccines are necessary to curb the resurgence of the COVID-19 epidemic and prevent the outbreak of various infectious diseases in China. Under the current situation, the main measures to deal with vaccine hesitancy are to play the role of health care institutions, improve public health literacy, normalize the public opinion orientation of the media platform, strengthen the supervision of vaccine clinical research and production, and do a good job in surveillance and compensation for adverse events following immunization.Copyright © 2021 by the Chinese Medical Association.
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The use of delivery platforms has become widespread due to the impact of the Covid-19 and the O2O industry. However, the ELEME delivery platform, a subsidiary of Alibaba Group, which represents China, has recently been losing market share. This means that companies need to constantly look at strategies to attract new customers and maintain existing ones. In general, it costs at least five times more to attract new customers than it does to manage existing customers. This paper attempts to predict customer churn using the ELEME customer dataset to develop strategies to identify and prevent churn in advance. The results of the analysis using machine learning approach found that the most influential feature that can predict churn is the number of clicks made by the user. This paper presents the process and explanation of applying various algorithms for predicting customer churn on a distribution platform. It also proposes strategies for dealing with customer churn. © 2023 IEEE.
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Purpose: This study aims to empirically examine the relationships among perceived environmental uncertainty (EV), the level of knowledge distance (KD) and the impact of value network on firm performance. Design/methodology/approach: The quantitative analysis is based on data from 243 Chinese companies with engineering, procurement and construction (EPC) business in the context of the COVID-19 pandemic. Findings: The two dimensions of value network [network centrality (NC) and network openness (NO)] have a different impact on firm performance [financial performance (FP) and market performance (MP)]. NC has a positive impact on FP, but not on MP. NO has a positive effect on MP, but not on FP. A reduced KD mediates the relationship between value network and firm performance. Moreover, it fully mediates the relationship between NC and MP, NO and FP. Finally, during the COVID-19 pandemic, only EV has a moderating effect on KD and MP. Research limitations/implications: This study is limited in terms of data set because it relies on a limited amount of cross-sectional data from one specific country. Therefore, researchers are encouraged to test the proposed propositions further. Practical implications: The present findings suggest that EPC professionals should pay more attention to the EV, which may be impacted by policy, technology and the economy. This research has actionable implications for the reform of EPC in the construction industry, and practical recommendations for EPC firms to improve their corporate performance. Originality/value: The results measure the complementary effects of both dimensions of value network (NC and NO) on two distinct aspects of firm performance (MP and FP) and assess the moderating effect of EV and KD in the context of the COVID-19 pandemics. © 2023, Emerald Publishing Limited.
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The COVID-19 pandemic drove a sustained increase in the volume and duration of venovenous extracorporeal membrane oxygenation (VV-ECMO), accelerating a decade long trend. While current clinical consensus recommends a maximal support duration of 14-21 days, the observed change in practice may warrant revisiting this notion. To guide this, we describe our institution's experience with prolonged VV-ECMO support. We performed a retrospective cohort analysis of patients who received VV-ECMO support at a large academic medical center between 2018-2022 using medical records. This study is a descriptive report of patients who received prolonged VV-ECMO support, defined as >50 continuous days on circuit. Of the 130 patients who received VV-ECMO during the study period, 12 (9.2%) had a support duration of >50 days, 11 of whom suffered from adult respiratory distress syndrome (ARDS) secondary to COVID-19, while 1 patient with prior bilateral lung transplant suffered from ARDS secondary to bacterial pneumonia. The median duration of VV-ECMO support was 94 days [IQR: 69.5, 128], with a maximum support of 180 days. Median time from intubation to cannulation was 5 days [IQR: 2, 14]. On-circuit mobilization was performed in 9 patients (75%). Successful weaning of VV-ECMO support occurred in 8 patients (67%), with 6 (50%) bridged to lung transplantation and 2 (17%) bridged to recovery. A total of 7 patients (58%) were discharged from the hospital: 3 to home and 4 to a rehabilitation center. ECMO complications included cannulation site bleeding in 10 patients (83%), gastrointestinal bleeding in 4 patients (33%), oxygenator failure in 7 patients (58%), and required circuit exchanges in 9 patients (75%) (Figure 1). Extremely prolonged VV-ECMO support allows for successful recovery or optimization of lung transplant candidacy in a select group of patients at a high-volume institution, further supporting the expanded utilization of VV-ECMO. [ABSTRACT FROM AUTHOR] Copyright of Journal of Heart & Lung Transplantation is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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The identification of the mechanisms by which T-cell receptors (TCRs) interact with human antigens provides a crucial opportunity to develop new vaccines, diagnostics and immunotherapies. However, the accurate prediction and recognition of TCR–antigen pairing represents a substantial computational challenge in immunology. Existing tools only learn the binding patterns of antigens from many known TCR binding repertoires and fail to recognize antigens that have never been presented to the immune system or for which only a few TCR binding repertoires are known. However, the binding specificity for neoantigens or exogenous peptides is crucial for immune studies and immunotherapy. Therefore, we developed Pan-Peptide Meta Learning (PanPep), a general and robust framework to recognize TCR–antigen binding, by combining the concepts of meta-learning and the neural Turing machine. The neural Turing machine adds external memory to avoid forgetting previously learned tasks, which is used here to accurately predict TCR binding specificity with any peptide, particularly unseen ones. We applied PanPep to various challenging clinical tasks, including (1) qualitatively measuring the clonal expansion of T cells;(2) efficiently sorting responsive T cells in tumour neoantigen therapy;and (3) accurately identifying immune-responsive TCRs in a large cohort from a COVID-19 study. Our comprehensive tests show that PanPep outperforms existing tools. PanPep also offers interpretability, revealing the nature of peptide and TCR interactions in 3D crystal structures. We believe PanPep can be a useful tool to decipher TCR–antigen interactions and that it has broad clinical applications. © 2023, The Author(s), under exclusive licence to Springer Nature Limited.
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COVID-19 has spread worldwide, and over 140 million people have been confirmed infected, over 3 million people have died, and the numbers are still increasing dramatically. The consensus has been reached by scientists that COVID-19 can be transmitted in an airborne way, and human-to-human transmission is the primary cause of the fast spread of COVID-19. Thus, mobility should be restricted to control the epidemic, and many governments worldwide have succeeded in curbing the spread by means of control policies like city lockdowns. Against this background, we propose a novel fine-grained transmission model based on real-world human mobility data and develop a platform that helps the researcher or governors to explore the possibility of future development of the epidemic spreading and simulate the outcomes of human mobility and the epidemic state under different epidemic control policies. The proposed platform can also support users to determine potential contacts, discover regions with high infectious risks, and assess the individual infectious risk. The multi-functional platform aims at helping the users to evaluate the effectiveness of a regional lockdown policy and facilitate the process of screening and more accurately targeting the potential virus carriers. © 2022 held by the owner/author(s). Publication rights licensed to ACM.
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Coronavirus disease has caused city blockades, making people spend longer in residential areas than ever before. Human well-being and health are directly affected by the suppression of the epidemic through residential planning and design. In this regard, scholars from all over the world have made significant efforts to explore the links between COVID-19 and residential planning and design, trying to adjust the states in time to cope with the effects of COVID-19 in the long run. This study is based on Bibliometrix to conduct a scientometric analysis of the literature on "Effects of COVID-19 on residential planning and design (ECRPD)” published in Web of Science and Scopus from 2019 to October 2022. The aim of this study is to comprehensively present the scientific knowledge of ECRPD research through general characteristics' analysis, citation analysis, and horizontal conceptual structure analysis, and try to summarize how residential planning and design responds to COVID-19, so as to provide support and advice for urban planners, builders, and policy makers. According to the results, ECRPD research is growing significantly, and the scientific productivity of it has increased exponentially. The main effects and feedback are characterized by three aspects: residential environment, residential building space and planning space, and residential traffic and community management. Generally, ECRPD research has expanded beyond the disciplines of architecture and planning. Environmental and energy concerns have attracted the most attention, though practical research into residential building space is relatively limited. To fully deal with COVID-19's multiple negative facets, it is imperative to promote cross-disciplinary and multi-field collaboration, implement new technologies and methods for traditional disciplines, develop bioclimatic buildings to cope with environmental changes, and strengthen practical research in residential building and planning to ensure that a sustainable and resilient living environment is created in the post-pandemic era. © 2023 by the authors.
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Objective: To investigate the emergency surgical strategies for patients with acute abdomen during the Corona Virus Disease 2019 (COVID-19) outbreak. Method(s): The retrospective and descriptive study was conducted. The clinical data of 20 patients with acute abdomen who were admitted to the Union Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology between January 18, 2020 and February 10, 2020 were collected. There were 13 males and 7 females, aged from 25 to 82 years, with an average age of 57 years. All the patients with emergency surgeries received pulmonary computed tomography (CT) examination before surgery, and completed nucleic acid detection in throat swab if necessary. Patients excluded from COVID-19 underwent regular anesthesia, suspected and confirmed cases were selected a proper anesthesia based on their medical condition and surgical procedure. Patients excluded from COVID-19 underwent emergency surgeries following the regular procedure, suspected and confirmed cases underwent emergency surgeries following the three-grade protection. Observation indicators: (1) surgical situations;(2) postoperative situations. Measurement data with normal distribution were represented as average (range). Count data were described as absolute numbers. Result(s): (1) Surgical situations: of the 20 patients with acute abdomen, 16 patients were excluded from COVID-19, and 4 were not excluded. All the 20 patients underwent emergency abdominal surgeries successfully, of whom 2 received surgeries under epidural anesthesia (including 1 with open appendectomy, 1 with open repair of duodenal bulbar perforation), 18 received surgeries under general anesthesia (including 9 with laparoscopic repair of duodenal bulbar perforation, 3 with open partial enterectomy, 3 with laparoscopic appendectomy, 1 with laparoscopic left hemicolectomy, 1 with laparoscopic right hemicolectomy, 1 with cholecystostomy). The operation time of patients was 32-194 minutes, with an average time of 85 minutes. The volume of intraoperative blood loss was 50-400 mL, with an average volume of 68 mL. (2) Postoperative situations: 16 patients excluded from COVID-19 preopratively were treated in the private general ward postoperatively. One of the 16 patients had fever at the postoperative 5th day and was highly suspected of COVID-19 after an emergency follow-up of pulmonary CT showing multiple ground-glass changes in the lungs. The patient was promptly transferred to the isolation ward for treatment, and results of nucleic acid detection in throat swab showed double positive. Medical history described by the patient showed that the patient and family members were residents of Wuhan who were not isolated at home during the epidemic. There was no way to confirm whether they had a history of exposure to patients with COVID-19. Medical staffs involved in this case did not show COVID-19 related symptoms during 14 days of medical observation. The other 15 patients recovered well postoperatively. The 4 patients who were not excluded from COVID-19 preoperatively based on medical history and results of pulmonary CT examination were directly transferred to the isolation ward for treatment postoperatively. They were excluded from COVID-19 for two consecutive negative results of nucleic acid detection in the throat swab and recovered well. Two of the 20 patients with acute abdomen had postoperative complications. One had surgical incision infection and recovered after secondary closure following opening incision, sterilizing and dressing, the other one had intestinal leakage and was improved after conservative treatment by abdominal drainage. There was no death in the 20 patients with acute abdomen. Conclusion(s): Patients with acute abdomen need to be screened through emergency forward. Patients excluded from COVID-19 undergo emergency surgeries following the regular procedure, and patients not excluded from COVID-19 undergo emergency surgeries following the three-grade protection. The temperature, blood routine test and other l boratory examinations are performed to monitor patients after operation, and the pulmonary CT and throat nucleic acid tests should be conducted if necessary. Patients excluded from COVID-19 preopratively are treated in the private general ward postoperatively, and they should be promptly transferred to the isolation ward for treatment after being confirmed. Patients who are not excluded from COVID-19 preoperatively based on medical history should be directly transferred to the isolation ward for treatment postoperatively.Copyright © 2020 by the Chinese Medical Association.
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Objective: To investigate the emergency surgical strategies for patients with acute abdomen during the Corona Virus Disease 2019 (COVID-19) outbreak. Method(s): The retrospective and descriptive study was conducted. The clinical data of 20 patients with acute abdomen who were admitted to the Union Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology between January 18, 2020 and February 10, 2020 were collected. There were 13 males and 7 females, aged from 25 to 82 years, with an average age of 57 years. All the patients with emergency surgeries received pulmonary computed tomography (CT) examination before surgery, and completed nucleic acid detection in throat swab if necessary. Patients excluded from COVID-19 underwent regular anesthesia, suspected and confirmed cases were selected a proper anesthesia based on their medical condition and surgical procedure. Patients excluded from COVID-19 underwent emergency surgeries following the regular procedure, suspected and confirmed cases underwent emergency surgeries following the three-grade protection. Observation indicators: (1) surgical situations;(2) postoperative situations. Measurement data with normal distribution were represented as average (range). Count data were described as absolute numbers. Result(s): (1) Surgical situations: of the 20 patients with acute abdomen, 16 patients were excluded from COVID-19, and 4 were not excluded. All the 20 patients underwent emergency abdominal surgeries successfully, of whom 2 received surgeries under epidural anesthesia (including 1 with open appendectomy, 1 with open repair of duodenal bulbar perforation), 18 received surgeries under general anesthesia (including 9 with laparoscopic repair of duodenal bulbar perforation, 3 with open partial enterectomy, 3 with laparoscopic appendectomy, 1 with laparoscopic left hemicolectomy, 1 with laparoscopic right hemicolectomy, 1 with cholecystostomy). The operation time of patients was 32-194 minutes, with an average time of 85 minutes. The volume of intraoperative blood loss was 50-400 mL, with an average volume of 68 mL. (2) Postoperative situations: 16 patients excluded from COVID-19 preopratively were treated in the private general ward postoperatively. One of the 16 patients had fever at the postoperative 5th day and was highly suspected of COVID-19 after an emergency follow-up of pulmonary CT showing multiple ground-glass changes in the lungs. The patient was promptly transferred to the isolation ward for treatment, and results of nucleic acid detection in throat swab showed double positive. Medical history described by the patient showed that the patient and family members were residents of Wuhan who were not isolated at home during the epidemic. There was no way to confirm whether they had a history of exposure to patients with COVID-19. Medical staffs involved in this case did not show COVID-19 related symptoms during 14 days of medical observation. The other 15 patients recovered well postoperatively. The 4 patients who were not excluded from COVID-19 preoperatively based on medical history and results of pulmonary CT examination were directly transferred to the isolation ward for treatment postoperatively. They were excluded from COVID-19 for two consecutive negative results of nucleic acid detection in the throat swab and recovered well. Two of the 20 patients with acute abdomen had postoperative complications. One had surgical incision infection and recovered after secondary closure following opening incision, sterilizing and dressing, the other one had intestinal leakage and was improved after conservative treatment by abdominal drainage. There was no death in the 20 patients with acute abdomen. Conclusion(s): Patients with acute abdomen need to be screened through emergency forward. Patients excluded from COVID-19 undergo emergency surgeries following the regular procedure, and patients not excluded from COVID-19 undergo emergency surgeries following the three-grade protection. The temperature, blood routine test and other l boratory examinations are performed to monitor patients after operation, and the pulmonary CT and throat nucleic acid tests should be conducted if necessary. Patients excluded from COVID-19 preopratively are treated in the private general ward postoperatively, and they should be promptly transferred to the isolation ward for treatment after being confirmed. Patients who are not excluded from COVID-19 preoperatively based on medical history should be directly transferred to the isolation ward for treatment postoperatively.Copyright © 2020 by the Chinese Medical Association.
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Novel Coronavirus Pneumonia (NCP) is a class B infectious disease, which is prevented and controlled according to class A infectious diseases. Recently, children's NCP cases have gradually increased, and children's fever outpatient department has become the first strategic pass to stop the epidemic.Strengthening the management of the fever diagnosis process is very important for early detection of suspected children, early isolation, early treatment and prevention of cross-infection. This article proposes prevention and control strategies for fever diagnosis, optimizes processes, prevents cross-infection, health protection and disinfection of medical staff, based on the relevant diagnosis, treatment, prevention and control programs of the National Health and Health Commission and on the diagnosis and treatment experience of experts in various provinces and cities. The present guidance summarizes current strategies on pre-diagnosis;triage, diagnosis, treatment, and prevention of 2019-nCoV infection in common fever, suspected and confirmed children, which provide practical suggestions on strengthening the management processes of children's fever in outpatient department during the novel coronavirus pneumonia epidemic period.Copyright © 2020 by the Chinese Medical Association.
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We evaluated the impact of a 6-8 cm minimally invasive (mini-) incision (Figure-A) on early outcomes after lung transplantation (LTx) compared to traditional incisions An institutional registry identified 37 mini-LTx and 106 traditional access (42 clamshells, 48 thoracotomies, 16 sternotomies) LTx patients (01/2017-06/2022), after excluding repeat/multiorgan transplants and those with COVID-19 acute respiratory distress syndrome who required pre-transplant extracorporeal membrane oxygenation (n=27). Propensity score matching by age, sex, body mass index, diagnosis, lung allocation score (LAS), double vs. single lung, hypertension, diabetes, and hospitalization status created 37 pairs Before matching, mini-LTx patients had similar LAS (39.2 [IQR 36.6-45.9] vs 41.1 [IQR 34.9-48.0]) compared to traditional LTx cohorts (both p>0.05). After matching, there was no difference between mini- and traditional LTx cohorts in warm ischemic time (66 [IQR 60-81] vs 62 [IQR 54-84] mins). Operative time was numerically shorter in mini-LTx patients for both double (399 [IQR 369-455] vs. 441 [IQR 373-545] mins, p=0.17) and single lung LTx (240 [IQR 208-272] vs. 272 [187-289] mins, p=0.57). After LTx, Mini-LTx was associated with similar mechanical ventilation duration (25.5 [IQR 19.5-38.7] vs 28.7 [IQR 19.0-69.5] hours, p=0.26), numerically lower rate of grade 3 primary graft dysfunction at 72 hours (3 vs. 15%, p=0.10), and shorter ICU and hospital length of stay (Figure-B). Among matched patients who survived to discharge, mini-LTx patients required less opiates prescription at discharge (38 vs 66%, p=0.02), and had improved pulmonary function at 3 months (FEV1 82 [IQR 72-102] vs 77 [52-88] % predicted;FVC 78 [IQR 65-92] vs 70 [IQR 62-80] % predicted;both p<0.05). In selected patients, LTx using a minimally invasive incision is safe with improved postoperative pulmonary function, shorter length of stay, and reduced outpatient opiate use. [ABSTRACT FROM AUTHOR] Copyright of Journal of Heart & Lung Transplantation is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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Objective: To develop a SARS-CoV-2 antigen detection management system for Chinese residents under community grid management, which is supported by "health information technology" and "neural network image recognition", so as to give full play to the advantages of "grid management". This system is applied to the normalized prevention and control of COVID-19 epidemic. Method(s): The model of image recognition algorithm was built based on deep learning and convolution neural network (CNN) artificial intelligence algorithm. The improved Canny edge detection algorithm was used to monitor and locate the image edge, and then the image segmentation and judgment value calculation were completed according to projection method. The system construction was completed combing with the grid number design. Result(s): The proposed method had been tested and showed the accuracy of the algorithm. With a certain robustness, the algorithm error was proved to be small. Based on the image recognition algorithm model, the development of SARS-CoV-2 antigen detection management system covering user login, paper-strip test image upload, paper-strip test management, grid management, grid warning and regional traffic management was completed. Conclusion(s): Antigen detection is an important supplementary means of COVID-19 epidemic prevention and control in the new stage. The SARS-CoV-2 antigen detection management system for Chinese residents under community grid managemen based on image recognition enables mobile communication devices to recognize the image of SARS-CoV-2 antigen detection results, which is helpful to form a grid management mode for the epidemic and improve the management framework of epidemic monitoring, detection, early warning and prevention and control.Copyright © 2023 The Authors
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Due to the high incidence of kidney disease, there is an urgent need to develop wearable artificial kidneys. This need is further exacerbated by the coronavirus disease 2019 pandemic. However, the dialysate regeneration system of the wearable artificial kidney has a low adsorption capacity for urea, which severely limits its application. Therefore, nanomaterials that can effectively remove uremic toxins, especially urea, to regenerate dialysate are required and should be further investigated and developed. Herein, flower-like molybdenum disulphide (MoS2) nanosheets decorated with highly dispersed cerium oxide (CeO2) were prepared (MoS2/CeO2), and their adsorption performances for urea, creatinine, and uric acid were studied in detail. Due to the open interlayer structures and the combination of MoS2 and CeO2, which can provide abundant adsorption active sites, the MoS2/CeO2 nanomaterials present excellent uremic toxin adsorption activities. Further, uremic toxin adsorption capacities were also assessed using a self-made fixed bed device under dynamic conditions, with the aim of developing MoS2/CeO2 for the practical adsorption of uremic toxins. In addition, the biocompatibility of MoS2/CeO2 was systematically analyzed using hemocompatibility and cytotoxicity assays. Our data suggest that MoS2/CeO2 can be safely used for applications requiring close contact with blood. Our findings confirm that novel 2-dimensional nanomaterial adsorbents have significant potential for dialysis fluid regeneration. © 2022
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It is widely accepted that the number of reported cases during the first stages of the COVID-19 pandemic severely underestimates the number of actual cases. We leverage delay embedding theorems of Whitney and Takens and use Gaussian process regression to estimate the number of cases during the first 2020 wave based on the second wave of the epidemic in several European countries, South Korea and Brazil. We assume that the second wave was more accurately monitored, even though we acknowledge that behavioural changes occurred during the pandemic and region- (or country-) specific monitoring protocols evolved. We then construct a manifold diffeomorphic to that of the implied original dynamical system, using fatalities or hospitalizations only. Finally, we restrict the diffeomorphism to the reported cases coordinate of the dynamical system. Our main finding is that in the European countries studied, the actual cases are under-reported by as much as 50%. On the other hand, in South Korea-which had a proactive mitigation approach-a far smaller discrepancy between the actual and reported cases is predicted, with an approximately 18% predicted underestimation. We believe that our backcasting framework is applicable to other epidemic outbreaks where (due to limited or poor quality data) there is uncertainty around the actual cases.
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To analyze the mechanism of novel coronavirus prevention prescription in Hunan province by using network pharmacology method. Methods TCMSP, Batman-TCM and ETCM were used to retrieve drug composition and target information, and GeneCards, OMIM, DrugBank, TTD and PharmGkb were used to screen disease targets. The visualization network diagram of "drug-active component-target" was constructed by Cytoscape, the protein interaction network was drawn by STRING, the core targets of PPI network were analyzed by CytoNCA, GO function and KEGG pathway were analyzed, and the mechanism of action was predicted. Results A total of 418 active ingredients, 1 715 drug targets, 1 289 disease targets and 266 intersection targets were screened out. Quercetin, luteolin, kaempferol, baicalein, ursolic acid and naringin were identified as the key components, and 6 core targets were obtained: RELA, AKT1, STAT3, JUN, MAPK1 and MAPK3. The results of molecular docking showed that the binding potential and activity of the key active ingredients to the core target were good. Conclusions "Child prevention formula" has the characteristics of multi-target, multi-approach and multi-faceted prevention and treatment, which plays a role in prevention and treatment of COVID-19 among children. Copyright © 2022 Publication Centre of Anhui Medical University. All rights reserved.