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1.
2nd International Symposium on Artificial Intelligence for Medicine Sciences, ISAIMS 2021 ; : 75-79, 2021.
Article in English | Scopus | ID: covidwho-1613104

ABSTRACT

COVID-19 was the most serious health emergency in 2020, and now it has become a global public health problem. The high infectivity of COVID-19 makes controlling its prevalence an important measure to contain its further development. In view of the fact that both China and the UK have taken measures to curb the prevalence of the COVID-19, we prepared a questionnaire entitled "UoL-XJTLU students' Knowledge, Attitude and Practice for the anti-COVID-19 policies of the UK and China"based on the KAP model, and the UOL-XJTlU students who experienced the epidemic policies of China and Britain at the same time, was interviewed by this online questionnaire to understand their views on different policies and measures between China and the UK. © 2021 ACM.

2.
Acta Medica Mediterranea ; 37(6):3297-3302, 2021.
Article in English | Scopus | ID: covidwho-1566893

ABSTRACT

Objective: The aim of this study was to elucidate the association of COVID-19 prognosis with the indexes of inflammation and coagulation. Methods: The clinical data of 103 cases of COVID-19 were retrospectively analyzed. COX regression models and 95% confidence intervals (CIs) were applied to estimate the COVID-19 prognosis. Results: The results showed that C-reactive protein (HR=1.007, p<0.001), procalcitonin (HR=1.013, p=0.006), prothrombin time (HR=1.190, p<0.001), Fibrinogen (HR=0.784, p=0.002) and D-dimer (HR=1.078, p<0.001) is associated with an increased risk of COVID-19 death. Among the inflammation indicators, the maximum area under the ROC curve of NLR is 0.87. In the coagulation index, the maximum area under the ROC curve of PT is 0.84. For the combined indicators of inflammation and coagulation, the area under the ROC curve is 0.89. Conclusions: In conclusion, we found that the length of PT at admission and the level of fibrinogen and D-dimer were related to the risk of COVID-19 death. It may be considered to jointly predict the risk of death of COVID-19 with inflammation and coagulation indicators. © 2021 A. CARBONE Editore. All rights reserved.

3.
Chinese Journal of Disease Control and Prevention ; 25(4):416-420, 2021.
Article in Chinese | Scopus | ID: covidwho-1566856

ABSTRACT

Objective To explore the epidemiological characteristics of confirmed cases of coronavirus diseases 2019 (COVID-19) in Puyang, Henan Province, so as to provide basis for diseases control and preventive. Methods The epidemiological data of 17 cases of COVID-19 in Puyang were collected, and the time, regional and population distribution characteristics of COVID-19 were described and analyzed by drawing disease sequence diagram and case relationship diagram. Results Among the 17 cases, 7 were male (41.2%);the median age was 36 years old with age ranged from 12 to 66 years. A total of 4 clustered outbreaks occurred, involving 12 cases (70.6%), all of which were family recurrent cases. The median incubation period was 6.5 days, the shortest 3 days and the longest 13 days. The onset time of a second-generation case was 11 days earlier than that of the indicator case. The median time between onset and treatment was 4 days, the shortest was 0 days and the longest was 12 days. Of the 17 cases, 6 had a sojourning history in Hubei Province within 14 days, and 1 had a history of overseas tourism. The other cases were all local infections, 8 of them were close contacts of the confirmed cases, and 2 of them were from unknown sources. Among the close contacts, the cases involved in the family clustering epidemic were transmitted through close contact and respiratory tract. After detailed investigation and inquiry, it was inferred that the transmission route was the staircase droplet transmission. Conclusion In Puyang City, most of the cases were from Hubei Province, and was dominated by family clustering epidemic. There was a possibility of infection in the incubation period. © 2021, Publication Centre of Anhui Medical University. All rights reserved.

4.
4th International Conference on Information Systems and Computer Aided Education, ICISCAE 2021 ; : 1958-1963, 2021.
Article in English | Scopus | ID: covidwho-1566398

ABSTRACT

Since COVID-19, the already fragile food system has become even more overburdened, and food security has become an urgent issue. Due to the excessive pursuit of efficiency and profit, the food system in the past has created various problems, the most prominent problem is the inability to find a balance between profit and ecological environment. Therefore, this article focuses on how to build a model that includes both aspects. In order to analyse the existing food system and introduce new ones, firstly, divide the food system into four subsystems of profitability, efficiency, sustainability, and equity, and set up several secondary indicators under each subsystem, and select appropriate countries as samples. Use the AHP, EWM, and CEM to calculate the corresponding index of each subsystem to form a new comprehensive evaluation model for the food system. © 2021 ACM.

5.
Zhonghua Nei Ke Za Zhi ; 59(8): 649-652, 2020 Aug 01.
Article in Chinese | MEDLINE | ID: covidwho-1555502
6.
Environmental Science and Technology Letters ; 2021.
Article in English | Scopus | ID: covidwho-1537278

ABSTRACT

Surgical masks (SMs) are the most commonly used personal protective equipment during the COVID-19 pandemic. Due to their vast use and inappropriate disposal worldwide, SMs could potentially cause serious microplastic (MP) pollution in coastal marine environments. This study aimed to investigate the kinetic release of MPs from polypropylene SMs (PP-SMs) in seawater and to evaluate the chronic toxicity of the released MPs to the marine copepod Tigriopus japonicus. On the basis of the results of our kinetic study and available relevant data, we estimated that SMs discarded throughout the year 2020 would lead to >137 trillion MPs entering the coastal marine environment globally, with a release rate of 396 billion MPs per day. Our results also demonstrated that the copepods ingested the MPs released from PP-SMs, causing a significant decline in their fecundity. The results clearly suggest the MPs released from improperly discarded SMs could have a long-term domino effect on coastal marine ecosystems. To minimize the risk of this emerging threat, better environmental management, policy, and law enforcement for ensuring the proper disposal of SMs are deemed to be necessary. © 2021 The Authors. Published by American Chemical Society.

7.
30th ACM International Conference on Information and Knowledge Management, CIKM 2021 ; : 3637-3641, 2021.
Article in English | Scopus | ID: covidwho-1528571

ABSTRACT

As the digital news industry becomes the main channel of information dissemination, the adverse impact of fake news is explosively magnified. The credibility of a news report should not be considered in isolation. Rather, previously published news articles on the similar event could be used to assess the credibility of a news report. Inspired by this, we propose a BERT-based multimodal unreliable news detection framework, which captures both textual and visual information from unreliable articles utilising the contrastive learning strategy. The contrastive learner interacts with the unreliable news classifier to push similar credible news (or similar unreliable news) closer while moving news articles with similar content but opposite credibility labels away from each other in the multimodal embedding space. Experimental results on a COVID-19 related dataset, ReCOVery, show that our model outperforms a number of competitive baseline in unreliable news detection. © 2021 ACM.

8.
Medical Journal of Peking Union Medical College Hospital ; 12(1):33-37, 2021.
Article in Chinese | Scopus | ID: covidwho-1512798

ABSTRACT

Balint group helps health professionals to get emotional support and different perspectives of feedback, inspire reflection, and alleviate job burnout. During the outbreak of COVID-19, it was difficult for medical staff to carry out the traditional form of in person Balint group. Referring to the work of international pilot online Balint group, leaders of Balint group all over China have accumulated some experience and encountered new problems by using the internet to carry out discussion. In order to assist and standardize the work of online Balint group and enrich the ways of expanding Balint work, the Working Committee on Doctor-patient Relationship, Chinese Psychiatrist Association, Chinese Medical Doctor Association organized experts to have two rounds of discussion, and developed the consensus on: Principles and forms of online Balint group, the way of using web platforms for demonstration and learning, matters needing attention, the future development, and so on. © 2021, Peking Union Medical College Hospital. All rights reserved.

9.
13th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2021 ; : 62-66, 2021.
Article in English | Scopus | ID: covidwho-1494286

ABSTRACT

With the rapid spread of COVID-19, how to deal with the public opinion caused by COVID-19 epidemic situation and correctly guide public emotion has become an urgent problem to be solved. This paper collects more than 90 000 Weibo and more than 600000 Weibo comments from January 1 to February 29, 2020. Through web crawler technology, social network analysis, SnowNLP emotion analysis and text clustering, this paper analyzes the public opinion related topics of COVID-19, shows the evolution of public opinion in time, and finds that the change of Weibo emotion in this period is roughly divided into four stages. That is, the initial panic and anxiety about the unknown virus, the temporary relaxation after official clarification, the emotional ups and downs during the worst period of the epidemic and finally the confident and stable period of fighting the epidemic, at the same time, the emotional changes of key users will affect the overall emotional changes in the same direction during this period. © 2021 IEEE.

10.
Journal of the American Society of Nephrology ; 32:64, 2021.
Article in English | EMBASE | ID: covidwho-1489785

ABSTRACT

Background: Acute kidney injury (AKI) is a common complication of patients hospitalized with coronavirus disease 2019 (COVID-19), however, the epidemiological studies are limited by single or few centers and short duration. How the incidence of COVID-19-associated AKI has changed over the last 18 months since start of the pandemic is not known. Methods: We used the N3C enclave to collect data from 42 centers from all geographical regions of the United States of patients hospitalized with COVID-19 from December 2019 to May 2021. Unique patient visit occurrence ID data across various hospitalizations for each center was harmonized to uniformly collect information on serum creatinine (SCr), acute dialysis, end-stage kidney disease (ESKD) and transplantation. From a total of 127,223 patients hospitalized with COVID-19, 3,662 patients with preexisting ESKD and 20,090 with < 2 measures of SCr were excluded. AKI and AKI stages were defined by KDIGO criteria. Baseline SCr was defined from the outpatient values before hospitalization when available or lowest inpatient value if not available. We analyzed how the incidence of in-hospital AKI changed over time (every 4-month period). Mann-Kendall Test was used to test for monotonic trends of the AKI incidence. Results: Of the 103,471 patients hospitalized with COVID-19, 31,634 (30.6%) were diagnosed with AKI (mean age 63.3 years, 43.7% female, 32.4% non-white, and 19.5% Hispanic). 14,129 (13.7%) patients were diagnosed with AKI-1, 7,996 (7.7%) had AKI-2 and 9,509 (9.2%) patients had AKI-3 (6,285 [6.1%] without dialysis and 3,224 [3.1%] with dialysis). The incidence of 'all AKI' decreased from 38.8% in Dec 2019-March 2020 to 26.2% in March-May 2021 (p-value for trend = 0.086) and the incidence of AKI-3 declined from 15.5% to 6.5% (p = 0.086). Conclusions: This is the largest and most nationally representative cohort of patients hospitalized with COVID-19 with the highest number of cases of AKI and of AKI-3 reported thus far. The incidence of COVID-19-associated AKI has shown a nonstatistically significant decline during the past 18 months of the pandemic.

11.
QJM ; 2021 Oct 20.
Article in English | MEDLINE | ID: covidwho-1475839

ABSTRACT

BACKGROUND: Coronavirus disease 2019 (COVID-19) has rapidly become a global pandemic. Age is an independent factor in death from the disease, and predictive models to stratify patients according to their mortality risk are needed. AIM: To compare the laboratory parameters of the younger (≤70) and the elderly (>70) groups, and develop death prediction models for the two groups according to age stratification. DESIGN: A retrospective, single-center observational study. METHODS: This study included 437 hospitalized patients with laboratory-confirmed COVID-19 from Tongji Hospital in Wuhan, China, 2020. Epidemiological information, laboratory data, and outcomes were extracted from electronic medical records and compared between elderly patients and younger patients. First, recursive feature elimination (RFE) was used to select the optimal subset. Then, two random forest (RF) algorithms models were built to predict the prognoses of COVID-19 patients and identify the optimal diagnostic predictors for patients' clinical prognoses. RESULTS: Comparisons of the laboratory data of the two age groups revealed many different laboratory indicators. Recursive feature eliminatin (RFE) was used to select the optimal subset for analysis, from which 11 variables were screened out for the two groups. The RF algorithm were built to predict the prognoses of COVID-19 patients based on the best subset, and the area under ROC curve (AUC) of the two groups is 0.874 (95% CI : 0.833-0.915) and 0.842 (95% CI: 0.765-0.920). CONCLUSION: Two prediction models for COVID-19 were developed in the patients with COVID-19 based on random forest algorithm, which provides a simple tool for the early prediction of COVID-19 mortality.

12.
IEEE Transactions on Electron Devices ; 2021.
Article in English | Scopus | ID: covidwho-1447892

ABSTRACT

With the worldwide spreading of the dreaded COVID-19 epidemic, wearing masks becomes the most effective approach to prevent infectious respiratory diseases from transmission, for continuous monitoring of respiratory signals acts as a significant status in the treatment of respiratory diseases. Herein, a convenient mask-based respiration sensor was designed to access multiple high-resolution respire-related states in a wearable and noninvasive manner. Combining the intrinsically low compression strains and large contact domains of the melt-blown fibers with continuously optimized multi-purpose (improve electrical property, regulate mechanical modulus, and enhance environmental stability) conductive materials together, the fabricated sensor exhibited a high sensitivity of 43.6 per kilopascal, a rapid response time of 28 ms as well as low fatigue over 10,000 s. Furthermore, a wearable mask that integrated respiration sensor is capable of collecting a variety of breathing states, including cough, exercise, sit, and other multiple patterns correlated respiratory dynamics. As a result, it can provide a facile and low-overhead designing strategy for human respiratory analysis, which enables real-time respiratory monitoring with this wearable device to protect against respire-related diseases. IEEE

13.
2021 International Conference on Big Data Analysis and Computer Science, BDACS 2021 ; : 13-16, 2021.
Article in English | Scopus | ID: covidwho-1437906

ABSTRACT

The novel coronavirus pneumonia is a major public health emergency with fast transmission rate, wide infection range and great difficulty in prevention and control, which poses challenges to the urban governance system and governance capacity. At this moment, it is particularly significant to get the track of people's movements. And at the same time, trajectory, as a typical spatio-temporal data, has been more and more used in subject researches such as road change detection, travel pattern exploration and urban hotspot analysis in recent years. In this paper, based on Spark and GeoSpark technology, real-time monitoring of the whereabouts of the community, schools and other personnel is carried out, in order to generate action tracks. At the same time, the deep learning algorithm is used to classify and warn the danger level of the trajectory of the people who are about to go in or go out of the residential district, schools, etc. It provides strong support for the public security, health and epidemic command and other government departments to achieve scientific prevention and control, intelligent prevention and control. The results show that spark can achieve high throughput and fault-tolerant real-time stream data processing. Geospark processes large-scale spatial data on the basis of spark, and can create point, line, surface and other spatial data structures based on longitude and latitude information. At the same time, the semi supervised learning model based on recurrent neural network is used to classify and early warn the danger level of personnel trajectories. The experiment randomly selected 2000 users from districts and schools in Chengdu, and divided the experimental data set into training set and verification set in the proportion of 8:2. The best performance of the trained model is 96.2%. © 2021 IEEE.

14.
Health Services Research ; 56:19-20, 2021.
Article in English | Web of Science | ID: covidwho-1426786
15.
2020 International Signal Processing, Communications and Engineering Management Conference, ISPCEM 2020 ; : 68-73, 2020.
Article in English | Scopus | ID: covidwho-1400640

ABSTRACT

Big data in the media is facing many challenges with huge volume, rapid increase, and a wide variety. Moreover, in the context of the global coronavirus epidemic prevention and control, media big data has different characteristics and missions. The scientific data platform, tool integration, scientific research process and international cooperation proposed in this article are implemented in four main lines of international cooperation for the implementation of ideas and technical methods in the field of media big data science for epidemic prevention and emergency, to achieve effective data management and analysis to improve the efficiency of scientific discovery. For cyber infrastructure research, preliminary research needs to build a digital, data-based, and intelligent cyber infrastructure framework and emergency response measures for disease prevention, psychological comfort, and material security. Based on the concept of "Data-Method-Model-System-Standard", the research overall design framework of MEP (media big data for epidemic prevention) is generated, and the research results are intended to help the epidemic prevention ecological layout of the media big data. An integrated basic information platform has been established globally. © 2020 IEEE.

16.
HemaSphere ; 5(SUPPL 2):547, 2021.
Article in English | EMBASE | ID: covidwho-1393359

ABSTRACT

Background: Immune thrombocytopenia (ITP) is an acquired thrombocytopenia caused by immune-mediated platelet destruction and impaired platelet production. Recombinant human thrombopoietin (rhTPO) and Eltrombopag, a small molecule agonist of thrombopoietin receptor (TPO-RA), are both recommended as the subsequent treatment for ITP patients, which also already showed robust efficacy. They increase the number of platelets through different mechanisms, and previous studies demonstrated that they might exert synergic effect. During the COVID- 19 pandemic, the classical subsequent treatment regimen for ITP of immunosuppressants and/or steroids might increase patients' susceptibility of virus infections. The investigators hypothesized that the combination of these two agents could be a promising option for ITP treatment during the COVID-19 pandemic. To minimize ITP patients' risk during the COVID-19 global crisis and to improve treatment efficacy, this treatment regimen of Eltrombopag plus rhTPO should be investigated. This trial is registered with ClinicalTrials.gov, number NCT01667263. Aims: This study aimed to evaluate the sustained responses at 6 months and safety of Eltrombopag plus rhTPO as treatment for corticosteroid- resistant or relapsed ITP patients during the COVID-19 pandemic. Methods: In this open-label, randomized, phase 2 trial, we enrolled confirmed corticosteroid-resistant or relapsed adult ITP patients from 5 different tertiary medical centers in China. They were randomly assigned 1:1 with an interactive web-based response system to receive either Eltrombopag 25-75 mg oral daily according to platelet response plus rh-TPO 300U/kg subcutaneous injection once daily for 7 consecutive days, followed by a tapering dose in maintenance therapy or Eltrombopag monotherapy for 12 weeks (Figure 1). The primary endpoint was 6-month sustained response (SR) defined as platelet counts maintained > 30×109/L and at least a doubling of baseline platelet count. Key secondary endpoints were initial response by day 14, duration of response (DOR), TTR, bleeding scores, and adverse events (AEs). Results: Between August 2020, and March 2021, 60 patients were randomly allocated into either rh-TPO plus Eltrombopag (n=30) or Eltrombopag monotherapy (n=30). At the 6-month follow-up, the proportion of patients with SR was significantly higher in the rh-TPO plus Eltrombopag group than in the Eltrombopag monotherapy group (66.7% vs 36.7%, p= 0.020). The combination of rh-TPO and Eltrombopag resulted in a higher incidence of initial response by day 14 compared with Eltrombopag monotherapy (76.7% vs 60%, p= 0.165). Throughout the follow-up period, overall DOR was greater in the combination group, estimated by the Kaplan-Meier analysis. Bleeding was more effectively controlled in the rh-TPO plus Eltrombopag arm, with fewer bleeding events and lower bleeding scores. There was no difference between the 2 groups in terms of rescue treatments. All subjects tolerated the treatment well, and no grade 4 adverse events or treatment- related death were reported. No statistically significant differences were observed in the incidence of treatment-related AEs between the two groups. Summary/Conclusion: Rh-TPO plus Eltrombopag is an effective and safe treatment for corticosteroid-resistant or relapsed ITP patients during the COVID-19 pandemic. (NCT04516837).

17.
Investigative Ophthalmology and Visual Science ; 62(8), 2021.
Article in English | EMBASE | ID: covidwho-1378673

ABSTRACT

Purpose : Possible retinal involvement by COVID-19 has been a topic of recent debate. We performed a prospective study to determine whether retinal abnormalities can be identified on OCT in convalescent fully recovered patients following COVID-19 infection. Methods : This is a prospective, case-controlled study that recruited COVID19 patients who were admitted to the United Christian Hospital Hong Kong, China. At 2 months postrecovery, patients' visual acuity, refraction were measured. Spectral-domain OCT of the macula and retinal nerve fiber layer and enhanced depth imaging were performed. Agematched and refraction-matched healthy individuals that were not infected with COVID-19 were enrolled as controls. Qualitative and quantitative assessment of retinal abnormalities on structural OCT and retinal and choroidal layer thickness are the main outcomes. Principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), and volcano plot were applied to data analysis. Results : 20 subjects (40 eyes) with COVID-19 and 25 (50 eyes) age-matched asymptomatic healthy controls were enrolled. Structural OCT abnormalities could be observed in 24% of control eyes and in 25% of COVID-19 subjects. No differences were observed between the post-COVID-19 cohort and the healthy controls for any qualitative retinal abnormalities. PCA and the PLS-DA demonstrated a substantial overlap in the 95% confidence region between the two groups. Further analysis showed there are no significant differences in any quantitative feature including retinal volume, choroidal thickness, retinal layer thicknesses in various macular regions, and peripapillary nerve fiber layer thickness with the exception of the retinal outer temporal quadrant region. However, the impact this quantitative feature has on the dataset is miniscule given that its fold change impact was below 1.0. Conclusions : Following full recovery from symptomatic COVID 19 infection no significant abnormalities were evident on structural OCT. Although long-term damage to the retina appears to be uncommon after COVID-19 infection, this study provides valuable insight into the recovery process after COVID-19 and provides potential retinal features that should be considered in the larger population to separate between these groups.

18.
2020 5th International Conference on Mechanical, Control and Computer Engineering ; : 2097-2101, 2020.
Article in English | Web of Science | ID: covidwho-1373740

ABSTRACT

With the outbreak of the COVID-19, most students can only take classes online at home. However, many students cannot consciously control their learning behaviors when they are in class at home, and some negative learning behaviors such as sleeping on the table or wandering have appeared. These negative learning behaviors greatly affect the effectiveness of learning. In order to deal with these problems, a online teaching system based on human action recognition is developed to assist teachers in real-time capturing the class status of classmates and improve the efficiency of home-based online teaching. Here, the system uses the OpenPose human body gesture recognition algorithm to obtain the key points of the student's body in class in front of the camera, and recognizes the student's class behavior through the analysis of the coordinates. The RTMP protocol is used to solve the problem of audio and video transmission during the live broadcast. We have conducted experiments to show the effectiveness of our system for analyzing the status of students and evaluating the online class.

20.
Lecture Notes on Data Engineering and Communications Technologies ; 79:109-120, 2021.
Article in English | Scopus | ID: covidwho-1355957

ABSTRACT

In the early stages of the Covid-19 pandemic in China, many people felt anxiety and panic, which led to an increase in visits to outpatient clinics. To relieve the pressure on these clinics, a new medical service, the Online Outpatient, was introduced. Starting in late January, 2020, by February 29, there had been more than 5500 online consultations, with 95.2% of these having been satisfactorily completed. To analyze the important role and success of the Online Outpatient, consultation data extracted for 4102 valid cases from the Online Outpatient system at the Sichuan Provincial People’s Hospital were analyzed using statistical methods, such as chi-square tests, the Cochran-Mantel-Haenszel Test, and non-parametric tests. It was found that 83.62% had been advised to stay at home, which reduced the number of people going to the hospital, and relieved the pressure on the outpatient departments. While around 44% or 1806 of the online outpatients had claimed to be suffering from anxiety, 80.34% of these admitted feeling relief from their anxiety after consulting. Therefore, the online outpatient medical consultation service was successful in both alleviating client anxiety and panic and relieving the pressure on offline outpatient departments. This new type of medical service could assist in managing hospital outpatients during public health emergencies. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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