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1.
Sustainability ; 15(10), 2023.
Article in English | Web of Science | ID: covidwho-20244987

ABSTRACT

This study examined the impact of attitudes toward life, recreational sports values, and workplace risk perceptions on urban development and public well-being under the risk of the COVID-19 epidemic in China. A mixed-method research study was conducted, and 2400 valid questionnaires were collected via purposeful sampling. The questionnaires were analyzed using the SPSS 26.0 statistical software and validated with basic statistical methods and Pearson's correlation analysis. Semi-structured interviews were then conducted to collect the opinions of 12 respondents on the questionnaire results, including academics, foreign entrepreneurs and employees, local entrepreneurs and employees, and official institutions. Finally, all the data collected were discussed via triangulation analysis. The survey found that different cities' social and industrial development and job market needs lead to different attitudes toward life, leisure values, and perceptions of job-seeking and employment risks. The smoother a person's growing-up background, the better their learning history, the better their learning and working experience, and the richer their life experience;consequently, positive attitudes toward life, correct leisure values, and positive attitudes toward job hunting and employment can be cultivated. In addition, people with positive attitudes toward life, leisure values, and job hunting and employment can improve their city's economy and environment for sustainable development, thereby improving their quality of life and increasing their well-being.

2.
ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023 ; : 3968-3977, 2023.
Article in English | Scopus | ID: covidwho-20244828

ABSTRACT

The COVID-19 pandemic has caused substantial damage to global health. Even though three years have passed, the world continues to struggle with the virus. Concerns are growing about the impact of COVID-19 on the mental health of infected individuals, who are more likely to experience depression, which can have long-lasting consequences for both the affected individuals and the world. Detection and intervention at an early stage can reduce the risk of depression in COVID-19 patients. In this paper, we investigated the relationship between COVID-19 infection and depression through social media analysis. Firstly, we managed a dataset of COVID-19 patients that contains information about their social media activity both before and after infection. Secondly, We conducted an extensive analysis of this dataset to investigate the characteristic of COVID-19 patients with a higher risk of depression. Thirdly, we proposed a deep neural network for early prediction of depression risk. This model considers daily mood swings as a psychiatric signal and incorporates textual and emotional characteristics via knowledge distillation. Experimental results demonstrate that our proposed framework outperforms baselines in detecting depression risk, with an AUROC of 0.9317 and an AUPRC of 0.8116. Our model has the potential to enable public health organizations to initiate prompt intervention with high-risk patients. © 2023 ACM.

3.
Isprs International Journal of Geo-Information ; 12(5), 2023.
Article in English | Web of Science | ID: covidwho-20237418

ABSTRACT

Theft is an inevitable problem in the context of urbanization and poses a challenge to people's lives and social stability. The study of theft and criminal behavior using spatiotemporal, big, demographic, and neighborhood data is important for guiding security prevention and control. In this study, we analyzed the theft frequency and location characteristics of the study area through mathematical statistics and hot spot analysis methods to discover the spatiotemporal divergence characteristics of theft in the study area during the pre-COVID-19 and COVID-19 periods. We detected the spatial variation pattern of the regression coefficients of the local areas of thefts in Haining City by modeling the influencing factors using the geographically weighted regression (GWR) analysis method. The results explained the relationship between theft and the influencing factors and showed that the regression coefficients had both positive and negative values in the pre-COVID-19 and COVID-19 periods, indicating that the spatial distribution of theft in urban areas of Haining City was not smooth. Factors related to life and work indicated densely populated areas had increased theft, and theft was negatively correlated with factors related to COVID-19. The other influencing factors were different in terms of their spatial distributions. Therefore, in terms of police prevention and control, video surveillance and police patrols need to be deployed in a focused manner to increase their inhibiting effect on theft according to the different effects of influencing factors during the pre-COVID-19 and COVID-19 periods.

4.
Transplantation and Cellular Therapy ; 29(2 Supplement):S379-S380, 2023.
Article in English | EMBASE | ID: covidwho-2317836

ABSTRACT

Background: The ZUMA-1 safety management Cohort 6 (N=40), which evaluated whether prophylactic corticosteroids and earlier corticosteroids and/or tocilizumab could improve safety outcomes, demonstrated an improved safety profile (no Grade >=3 cytokine release syndrome [CRS];15% Grade >=3 neurologic events [NEs]) vs pivotal Cohorts 1+2, without compromising response rate or durability (95% ORR, 80% CR rate, and 53% ongoing response rate with >=1 y of follow-up;Oluwole, et al. ASH 2021. 2832). Here, 2-y updated outcomes are reported. Method(s): Eligible pts with R/R LBCL underwent leukapheresis (followed by optional bridging therapy) and conditioning chemotherapy, then a single axi-cel infusion. Pts received corticosteroid prophylaxis (once-daily oral dexamethasone 10 mg on Days 0 [before axi-cel], 1, and 2) and earlier corticosteroids and/or tocilizumab for CRS and NE management vs Cohorts 1+2 (Oluwole, et al. Br J Haematol. 2021). The primary endpoints were incidence and severity of CRS and NEs. Secondary endpoints included ORR (investigator-assessed), duration of response (DOR), progression-free survival (PFS), overall survival (OS), and chimeric antigen receptor (CAR) T-cell levels in blood. Result(s): As of December 16, 2021, the median follow-up time for the 40 treated pts was 26.9 mo. Since the 1-y analysis, no new CRS events were reported (no pts had Grade >=3 CRS to date). The incidence of Grade >=3 NEs increased from 15% to 18%between the 1-y and 2-y analyses. Two new NEs occurred in 2 pts: 1 pt had Grade 2 dementia (onset on Day 685 and ongoing at time of data cutoff;not related to axi-cel) and 1 had Grade 5 axi-cel-related leukoencephalopathy. Since the 1-y analysis, 6 new infections were reported (Grades 1, 2, and 5 COVID-19 [n=1 each], Grade 3 Pneumocystis jirovecii pneumonia [n=1], Grade 3 unknown infectious episode with inflammatory syndrome [n=1], and Grade 2 herpes zoster [n=1]). In total, 8 deaths occurred since the 1-y analysis (progressive disease [n=5], leukoencephalopathy [n=1], and COVID-19 [n=2]). The ORR was 95% (80% CR), which was unchanged from the 1-y analysis. Median DOR and PFS were since reached (25.9 mo [95% CI, 7.8-not estimable] and 26.8 mo [95% CI, 8.7-not estimable], respectively). Median OS was still not reached. Kaplan- Meier estimates of the 2-y DOR, PFS, and OS rates were 53%, 53%, and 62%, respectively. Of 18 pts (45%) in ongoing response at data cutoff, all achieved CR as the best response. By Month 24, 14/20 pts with evaluable samples (70%) had detectable CAR T cells (vs 23/36 pts [64%] in Cohorts 1+2). Conclusion(s): With 2 y of follow-up, the ZUMA-1 Cohort 6 toxicity management strategy continued to demonstrate an improved long-term safety profile of axi-cel in pts with R/R LBCL. Further, responses remained high, durable, and similar to those observed in Cohorts 1+2 (Locke, et al. Lancet Oncol. 2019).Copyright © 2023 American Society for Transplantation and Cellular Therapy

6.
Ieee Transactions on Intelligent Transportation Systems ; 23(12):25059-25061, 2022.
Article in English | Web of Science | ID: covidwho-2311849

ABSTRACT

The COVID-19 pandemic has posed significant challenges to transportation systems in various aspects, such as transferring patients and medical resources, enforcing physical distancing in public transportation, and controlling virus transmission through transportation networks. To address these challenges, a variety of artificial intelligence technologies, such as autonomous driving, big data analytics, intelligent vehicle routing and scheduling, and intelligent traffic control, have been employed in the design of intelligent transportation systems. This Special Issue provides a forum for researchers and practitioners to present the most recent advances in presenting and applying intelligent technologies to promote transportation systems in large-scale epidemics.

7.
Ieee Transactions on Evolutionary Computation ; 27(1):141-154, 2023.
Article in English | Web of Science | ID: covidwho-2311848

ABSTRACT

Vaccination uptake has become the key factor that will determine our success in containing the coronavirus pneumonia (COVID-19) pandemic. Efficient distribution of vaccines to inoculation spots is crucial to curtailing the spread of the novel COVID-19 pandemic. Normally, in a big city, a huge number of vaccines need to be transported from central depot(s) through a set of satellites to widely scattered inoculation spots by special-purpose vehicles every day. Such a large two-echelon vehicle routing problem is computationally difficult. Moreover, the demands for vaccines evolve with the epidemic spread over time, and the actual demands are hard to determine early and exactly, which not only increases the problem difficulty but also prolongs the distribution time. Based on our practical experience of COVID-19 vaccine distribution in China, we present a hybrid machine learning and evolutionary computation method, which first uses a fuzzy deep learning model to forecast the demands for vaccines for each next day, such that we can predistribute the forecasted number of vaccines to the satellites in advance;after obtaining the actual demands, it uses an evolutionary algorithm (EA) to route vehicles to distribute vaccines from the satellites/depots to the inoculation spots on each day. The EA saves historical problem instances and their high-quality solutions in a knowledge base, so as to capture inherent relationship between evolving problem inputs to solutions;when solving a new problem instance on each day, the EA utilizes historical solutions that perform well on the similar instances to improve initial solution quality and, hence, accelerate convergence. Computational results on real-world instances of vaccine distribution demonstrate that the proposed method can produce solutions with significantly shorter distribution time compared to state-of-the-arts and, hence, contribute to accelerating the achievement of herd immunity.

8.
Sustainability ; 15(5), 2023.
Article in English | Web of Science | ID: covidwho-2308678

ABSTRACT

Tourism is linked to multiple dimensions, such as the economy, society, and environment, and the relationships among its influencing factors are complex, diverse, and overlapping. This study constructed an evaluation index system to measure the degree of coordinated development of tourism, transportation, and the regional economy, then built a tourism-transportation-based Spatial Durbin Model (SDM) regarding the process of the coordinated development of tourism in the Beijing-Tianjin-Hebei region (BTHR) from 2010 to 2020. This paper explains the current status of sustainable tourism development in the BTHR and the impact and spillover effects of transportation on tourism development. The results show that the normalized tourism coordinated development index (NTCDI) of the BTHR increased from 13.61 in 2010 to 18.75 in 2019, then decreased to 14.45 in 2020. The results of SDM show that different transportation modes have different spillover effects on tourism. Specifically, civil aviation transportation has a positive impact and significant spillover on a city's tourism revenue (TR), while high-speed railway transportation has a negative spillover effect. The model results also show that the degree of openness of the city and city economic development level have significant positive effects and spillover effects on tourism development. Finally, the implications of related variables are discussed, and some suggestions are put forward on tourism development in the BTHR. However, there are some limitations in this study. In the future, international cooperation and data sharing will be strengthened, and multivariate methods such as social network analysis, artificial intelligence, and machine learning will be further integrated to achieve accurate simulation and prediction of the spatial spillover effects of tourism transportation.

9.
Applied Economics ; 2023.
Article in English | Scopus | ID: covidwho-2303654

ABSTRACT

Global macroeconomic development is faced with great uncertainty, especially the repeated impact of COVID-19, which exacerbate the challenges. This study explores the impact of Internet development on the resilience of cities. In the first place, a theoretical model is used to analyse how Internet development affects productivity and further influences urban economic resilience. Based on this, a long-differences model is established for empirical analysis. The study found that improving Internet development is an important step enhancing urban economic resilience. The results provide new perspectives and evidence for the study of urban economic resilience. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

10.
22nd IEEE International Conference on Software Quality, Reliability and Security Companion, QRS-C 2022 ; : 708-717, 2022.
Article in English | Scopus | ID: covidwho-2299281

ABSTRACT

In this paper, we propose an analytical model that can analyze the impact of emergencies on open source software (OSS) development. As the core of this model, a metric system is used to comprehensively describe the OSS development process, which includes three dimensions: team activity, development activity, and development risk, with a total of 30 metrics. To demonstrate the effectiveness of the model, we construct an empirical study analyzing the impact of COVID-19 on OSS development. This study is based on the development process events between January 2019 and April 2022 belonging to 50 selected open source projects on GitHub. The results show that more than 72.4% of projects were negatively impacted following the COVID-19 outbreak. Interestingly, we observe that variants of covide-19 did not exacerbate its impact on software development. On the contrary, some project development activities have obviously resumed, indicating that the development team has adapted and gradually got rid of the impact of the epidemic. © 2022 IEEE.

11.
Emerg Microbes Infect ; 12(1): 2204164, 2023 Dec.
Article in English | MEDLINE | ID: covidwho-2303029

ABSTRACT

SARS-CoV-2 has caused a global pandemic with significant humanity and economic loss since 2020. Currently, only limited options are available to treat SARS-CoV-2 infections for vulnerable populations. In this study, we report a universal fluorescence polarization (FP)-based high throughput screening (HTS) assay for SAM-dependent viral methyltransferases (MTases), using a fluorescent SAM-analogue, FL-NAH. We performed the assay against a reference MTase, NSP14, an essential enzyme for SARS-CoV-2 to methylate the N7 position of viral 5'-RNA guanine cap. The assay is universal and suitable for any SAM-dependent viral MTases such as the SARS-CoV-2 NSP16/NSP10 MTase complex and the NS5 MTase of Zika virus (ZIKV). Pilot screening demonstrated that the HTS assay was very robust and identified two candidate inhibitors, NSC 111552 and 288387. The two compounds inhibited the FL-NAH binding to the NSP14 MTase with low micromolar IC50. We used three functional MTase assays to unambiguously verified the inhibitory potency of these molecules for the NSP14 N7-MTase function. Binding studies indicated that these molecules are bound directly to the NSP14 MTase with similar low micromolar affinity. Moreover, we further demonstrated that these molecules significantly inhibited the SARS-CoV-2 replication in cell-based assays at concentrations not causing cytotoxicity. Furthermore, NSC111552 significantly synergized with known SARS-CoV-2 drugs including nirmatrelvir and remdesivir. Finally, docking suggested that these molecules bind specifically to the SAM-binding site on the NSP14 MTase. Overall, these molecules represent novel and promising candidates to further develop broad-spectrum inhibitors for the management of viral infections.


Subject(s)
COVID-19 , Zika Virus Infection , Zika Virus , Humans , Methyltransferases/genetics , Methyltransferases/metabolism , SARS-CoV-2/genetics , High-Throughput Screening Assays , Viral Nonstructural Proteins/metabolism , Zika Virus/genetics , Zika Virus/metabolism , Binding Sites , RNA Caps/chemistry , RNA Caps/genetics , RNA Caps/metabolism , Fluorescence Polarization , RNA, Viral/genetics
13.
Chinese Journal of Digestive Surgery ; 19(6):673-679, 2020.
Article in Chinese | EMBASE | ID: covidwho-2269361

ABSTRACT

Objective: To investigate the clinical evaluation effects of Corona Virus Disease 2019 (COVID-19) risk assessment scale on preoperative and surgical risk of liver transplantation during the COVID-19 outbreak. Method(s): The retrospective and descriptive study was conducted. The clinicopathological data of 6 liver transplant recipients who were admitted to Southern Theater Command General Hospital of PLA between January 20 and March 27, 2020 were collected. There were 5 males and 1 female, aged from 42.0 to 62.0 years, with a median age of 53.0 years. There were 6 donors including 5 males and 1 female, aged from 24.0 to 60.0 years, with a median age of 41.5 years. All the donor livers were obtained through the China Organ Transplant Response System. Liver transplantation was performed in the fixed negative pressure operating room, and secondary protective measures were adopted for low-risk donors. Classic orthotopic liver transplantation or Piggyback liver transplantation was performed according to the specific situations of the recipients. Medical staffs in the ward were exposed to the secondary protective measures, and the three-grade protective measures were adopted for medical staffs when the liver transplant recipients had fever or suspected infection. Observation indicators: (1) risk assessment of COVID-19 on liver transplant recipients;(2) risk assessment of COVID-19 on medical staffs of liver transplantation;(3) treatment situations of liver transplant recipients;(4) postoperative situations of liver transplant recipients;(5) follow-up of liver transplant recipients;(6) infection of medical staffs of liver transplantation. Follow-up was performed using outpatient examination or telephone interview to detect whether liver transplant recipients had suspected or confirmed COVID-19 infection up to March 2020. Medical staffs who were involved in organ acquisition, transplantation surgery and ward management were followed up to detect whether they had suspected or confirmed COVID-19 infection within 14 days. Measurement data with normal distribution were represented as Mean+/-SD, and measurement data with skewed distribution were described as M (range). Count data were expressed as absolute numbers. Result(s): (1) Risk assessment of COVID-19 on liver transplant recipients: all the 6 recipients and their related families were confirmed no contact with suspected COVID-19 patients or travel history in the epidemic area within 14 days. Of the 6 recipients, 1 was diagnosed with fever with body temperature of 38.1 and was tested negative for chest computer tomography (CT) examination and nucleic acid test for COVID-19;1 was diagnosed with fever and hypoxemia with body temperature of 38.5 and was tested negative for nucleic acid test for COVID-19, and the results of chest CT examination showed large amount of pleural effusion in both lungs without invasive pneumonia;other 4 recipients had no clinical symptoms of COVID-19 with negative results of chest CT examination and nucleic acid test for COVID-19. Five of the 6 recipients had no history of contact with COVID-19 patients and 1 recipient had treatment history at hospital of risk level 1. The preoperative risk level of COVID-19 was low in all the 6 liver transplant recipients. (2) Risk assessment of COVID-19 on medical staffs of liver transplantation: of the 6 recipients, 5 had the waiting hospital of risk level 0 and 1 had the waiting hospital of risk level 1. Six recipients had the transplant hospital of risk level 0. (3) Treatment situations of liver transplant recipients: of the 6 recipients, 2 underwent classic orthotopic liver transplantation and 4 underwent piggyback liver transplantation. The cold ischemia time of liver, time of anhepatic phase, volume of intraoperative blood loss, operation time, treatment time at intensive care unit of the 6 recipients were (5.9+/-2.4)hours, (49+/-14)minutes, 1 500 mL(range, 800-1 800 mL), (8.9+/-2.1)hours, 2 days(range, 1-4 days), respectively. Of the 6 recipients, 2 required adjustment of the immunosuppression progr m, and 4 did not change the immunosuppression program. (4) Postoperative situations of liver transplant recipients: of the 6 recipients, 5 had no postoperative serious infection and 1 had postoperative serious infection. The 5 recipients without postoperative serious infection had the range of the highest temperature as 37.8-38.5 , and returned to normal temperature within postoperative 3 days. All of the 5 recipients who had no postoperative serious infection received chest CT examination with no obvious manifestation of viral pneumonia and were tested negative for nucleic acid test for COVID-19 at 1 week postoperatively, and then were discharged from hospital. One recipient who had postoperative serious infection had gastrointestinal fistula and repeated fever at postoperative 7 days with the highest temperature as 39.2 . This recipient had body temperature returned to normal and good function of the graft after treatment in the isolation ward with active drainage, and was transferred back to local hospital for further rehabilitation treatment. The duration of hospital stay of the 6 recipients were 30 days(range, 15-74 days). (5) Follow-up of liver transplant recipients: all the 6 recipients were followed up for 31.5 days(range, 12.0-64.0 days) with the normal body temperature, and they had negative results of viral pneumonia for chest CT examination and nucleic acid test for COVID-19. (6) Infection of medical staffs of liver transplantation: surgeons, nurses, anesthetists, medical staffs at ICU and medical staffs at liver transplantation center who participated in liver transplantation had good health within postoperative 14 days, without suspected or confirmed cases of COVID-19 infection. Conclusion(s): The COVID-19 risk assessment scale has good safety for liver transplant recipients during the COVID-19 outbreak. It is suggested that organ transplantation can be carried out in low-risk recipients and cautiously carried out in recipients of uncertain risk, but organ transplantation should not be carried out in high-risk recipients.Copyright © 2020 by the Chinese Medical Association.

14.
Chinese Journal of Digestive Surgery ; 19(6):673-679, 2020.
Article in Chinese | EMBASE | ID: covidwho-2269360

ABSTRACT

Objective: To investigate the clinical evaluation effects of Corona Virus Disease 2019 (COVID-19) risk assessment scale on preoperative and surgical risk of liver transplantation during the COVID-19 outbreak. Method(s): The retrospective and descriptive study was conducted. The clinicopathological data of 6 liver transplant recipients who were admitted to Southern Theater Command General Hospital of PLA between January 20 and March 27, 2020 were collected. There were 5 males and 1 female, aged from 42.0 to 62.0 years, with a median age of 53.0 years. There were 6 donors including 5 males and 1 female, aged from 24.0 to 60.0 years, with a median age of 41.5 years. All the donor livers were obtained through the China Organ Transplant Response System. Liver transplantation was performed in the fixed negative pressure operating room, and secondary protective measures were adopted for low-risk donors. Classic orthotopic liver transplantation or Piggyback liver transplantation was performed according to the specific situations of the recipients. Medical staffs in the ward were exposed to the secondary protective measures, and the three-grade protective measures were adopted for medical staffs when the liver transplant recipients had fever or suspected infection. Observation indicators: (1) risk assessment of COVID-19 on liver transplant recipients;(2) risk assessment of COVID-19 on medical staffs of liver transplantation;(3) treatment situations of liver transplant recipients;(4) postoperative situations of liver transplant recipients;(5) follow-up of liver transplant recipients;(6) infection of medical staffs of liver transplantation. Follow-up was performed using outpatient examination or telephone interview to detect whether liver transplant recipients had suspected or confirmed COVID-19 infection up to March 2020. Medical staffs who were involved in organ acquisition, transplantation surgery and ward management were followed up to detect whether they had suspected or confirmed COVID-19 infection within 14 days. Measurement data with normal distribution were represented as Mean+/-SD, and measurement data with skewed distribution were described as M (range). Count data were expressed as absolute numbers. Result(s): (1) Risk assessment of COVID-19 on liver transplant recipients: all the 6 recipients and their related families were confirmed no contact with suspected COVID-19 patients or travel history in the epidemic area within 14 days. Of the 6 recipients, 1 was diagnosed with fever with body temperature of 38.1 and was tested negative for chest computer tomography (CT) examination and nucleic acid test for COVID-19;1 was diagnosed with fever and hypoxemia with body temperature of 38.5 and was tested negative for nucleic acid test for COVID-19, and the results of chest CT examination showed large amount of pleural effusion in both lungs without invasive pneumonia;other 4 recipients had no clinical symptoms of COVID-19 with negative results of chest CT examination and nucleic acid test for COVID-19. Five of the 6 recipients had no history of contact with COVID-19 patients and 1 recipient had treatment history at hospital of risk level 1. The preoperative risk level of COVID-19 was low in all the 6 liver transplant recipients. (2) Risk assessment of COVID-19 on medical staffs of liver transplantation: of the 6 recipients, 5 had the waiting hospital of risk level 0 and 1 had the waiting hospital of risk level 1. Six recipients had the transplant hospital of risk level 0. (3) Treatment situations of liver transplant recipients: of the 6 recipients, 2 underwent classic orthotopic liver transplantation and 4 underwent piggyback liver transplantation. The cold ischemia time of liver, time of anhepatic phase, volume of intraoperative blood loss, operation time, treatment time at intensive care unit of the 6 recipients were (5.9+/-2.4)hours, (49+/-14)minutes, 1 500 mL(range, 800-1 800 mL), (8.9+/-2.1)hours, 2 days(range, 1-4 days), respectively. Of the 6 recipients, 2 required adjustment of the immunosuppression progr m, and 4 did not change the immunosuppression program. (4) Postoperative situations of liver transplant recipients: of the 6 recipients, 5 had no postoperative serious infection and 1 had postoperative serious infection. The 5 recipients without postoperative serious infection had the range of the highest temperature as 37.8-38.5 , and returned to normal temperature within postoperative 3 days. All of the 5 recipients who had no postoperative serious infection received chest CT examination with no obvious manifestation of viral pneumonia and were tested negative for nucleic acid test for COVID-19 at 1 week postoperatively, and then were discharged from hospital. One recipient who had postoperative serious infection had gastrointestinal fistula and repeated fever at postoperative 7 days with the highest temperature as 39.2 . This recipient had body temperature returned to normal and good function of the graft after treatment in the isolation ward with active drainage, and was transferred back to local hospital for further rehabilitation treatment. The duration of hospital stay of the 6 recipients were 30 days(range, 15-74 days). (5) Follow-up of liver transplant recipients: all the 6 recipients were followed up for 31.5 days(range, 12.0-64.0 days) with the normal body temperature, and they had negative results of viral pneumonia for chest CT examination and nucleic acid test for COVID-19. (6) Infection of medical staffs of liver transplantation: surgeons, nurses, anesthetists, medical staffs at ICU and medical staffs at liver transplantation center who participated in liver transplantation had good health within postoperative 14 days, without suspected or confirmed cases of COVID-19 infection. Conclusion(s): The COVID-19 risk assessment scale has good safety for liver transplant recipients during the COVID-19 outbreak. It is suggested that organ transplantation can be carried out in low-risk recipients and cautiously carried out in recipients of uncertain risk, but organ transplantation should not be carried out in high-risk recipients.Copyright © 2020 by the Chinese Medical Association.

15.
Chinese Journal of Applied Clinical Pediatrics ; 36(24):1913-1917, 2021.
Article in Chinese | EMBASE | ID: covidwho-2269254

ABSTRACT

Since December 2019, the novel coronavirus (severe acute respiratory syndrome coronavirus 2, SARS-CoV-2) infection has broken out worldwide, causing enormous social and economic burdens. Sudden exacerbations in SARS - CoV -2 infected people may be caused by infection - related cytokine storms. The basic state of the body and the strength of the immune response determine the prognosis of SARS-CoV-2. The interaction between proinflammatory factors and anti - inflammatory factors, and continued proinflammatory response cause lung edema, exudation, progression to acute respiratory distress syndrome involving the lung tissues and organs, multi - organ failure, and even death. The efficacy of antiviral therapy alone for immune complications like cytokine storm during viral infection is not ideal, and the targeted therapy of cytokines has become a potentially popular therapeutic strategy. Early identification and appropriate treatment of immune complications contribute to reduce the morbidity and mortality of severe viral infections.Copyright © 2021 Heilongjiang Institute of Science and Technology Information. All rights reserved.

18.
Chinese Journal of Applied Clinical Pediatrics ; 36(10):721-732, 2021.
Article in Chinese | EMBASE | ID: covidwho-2264719

ABSTRACT

2019 novel coronavirus(2019-nCoV) outbreak is one of the public health emergency of international concern.Since the 2019-nCoV outbreak, China has been adopting strict prevention and control measures, and has achieved remarkable results in the initial stage of prevention and control.However, some imported cases and sporadic regional cases have been found, and even short-term regional epidemics have occurred, indicating that the preventing and control against the epidemic remains grim.With the change of the incidence proportion and the number of cases in children under 18 years old, some new special symptoms and complications have appeared in children patients.In addition, with the occurrence of virus mutation, it has not only attracted attention from all parties, but also proposed a new topic for the prevention and treatment of 2019-nCoV infection in children of China.Based on the second edition, the present consensus further summarizes the clinical characteristics and experience of children's cases, and puts forward recommendations on the diagnostic criteria, laboratory examination, treatment, prevention and control of children's cases for providing reference for further guidance of treatment of 2019-nCoV infection in children.Copyright © 2021 Chinese Medical Association

19.
Chinese Journal of Applied Clinical Pediatrics ; 36(18):1361-1367, 2021.
Article in Chinese | EMBASE | ID: covidwho-2288886

ABSTRACT

At present, severe acute respiratory syndrome coronavirus-2(SARS-CoV-2)infection is still rampant worldwide.As of September 10, 2021, there were about 222 million confirmed cases of corona virus disease 2019(COVID-19)and more than 4.6 million deaths worldwide.With the development of COVID-19 vaccines and the gradual vaccination worldwide, the increasing number of cases in children and unvaccinated young people has drawn attention.According to World Health Organization surveillance data, the proportion of COVID-19 infection cases in children gradually increased, and the proportion of cases in the age groups of under 5 years and 5-14 years increased from 1.0% and 2.5% in January 2020 to 2.0% and 8.7% in July 2021, respectively.At present, billions of adults have been vaccinated with various COVID-19 vaccines worldwide, and their protective effects including reducing infection and transmission, reducing severe disease and hospitalization, and reducing death, as well as high safety have been confirmed.Canada, the United States, Europe and other countries have approved the emergency COVID-19 vaccination in children and adolescents aged 12 to 17 years, and China has also approved the phased vaccination of COVID-19 vaccination in children and adolescents aged 3 to 17 years. For smooth advancement and implementation of COVID-19 vaccination in children, academic institutions, including National Clinical Research Center for Respiratory Diseases, National Center for Children's Health, and The Society of Pediatrics, Chinese Medical Association organized relevant experts to reach this consensus on COVID-19 vaccination in children.Copyright © 2021 by the Chinese Medical Association.

20.
Chinese Journal of Applied Clinical Pediatrics ; 35(2):97-104, 2020.
Article in Chinese | EMBASE | ID: covidwho-2288487

ABSTRACT

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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