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1.
10th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2022 ; 2022-June:517-521, 2022.
Article in English | Scopus | ID: covidwho-2018926

ABSTRACT

The prediction of pedestrian volume in public area is of great significance to maintain personnel safety and improve the level of public management. Especially under the situation of COVID-19 prevention and control, the prediction of pedestrian volume within closed public spaces has a higher demand. While long short-term memory (LSTM), is often used to establish the prediction model of time series, for this purpose, taking the pedestrian flow prediction as the application background, the influence of the activation function on the time performance of LSTM model is studied, and an optimized scheme of the activation function, which can significantly improve the time performance while ensuring the prediction accuracy is proposed in this paper. The experimental results based on pedestrian flow prediction show that the time performance of the optimized LSTM model is improved by about 12.8% compared with the traditional model, and the prediction accuracy is even slightly increased. © 2022 IEEE.

3.
Lancet Reg Health West Pac ; 29:100592, 2022.
Article in English | PMC | ID: covidwho-2007928

ABSTRACT

Background: In early March 2022, a major outbreak of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant spread rapidly throughout Shanghai, China. Here we aimed to provide a description of the epidemiological characteristics and spatiotemporal transmission dynamics of the Omicron outbreak under the population-based screening and lockdown policies implemented in Shanghai. Methods: We extracted individual information on SARS-CoV-2 infections reported between January 1 and May 31, 2022, and on the timeline of the adopted non-pharmaceutical interventions. The epidemic was divided into three phases: i) sporadic infections (January 1–February 28), ii) local transmission (March 1–March 31), and iii) city-wide lockdown (April 1 to May 31). We described the epidemic spread during these three phases and the subdistrict-level spatiotemporal distribution of the infections. To evaluate the impact on the transmission of SARS-CoV-2 of the adopted targeted interventions in Phase 2 and city-wide lockdown in Phase 3, we estimated the dynamics of the net reproduction number (Rt). Findings: A surge in imported infections in Phase 1 triggered cryptic local transmission of the Omicron variant in early March, resulting in the largest outbreak in mainland China since the original wave. A total of 626,000 SARS-CoV-2 infections were reported in 99.5% (215/216) of the subdistricts of Shanghai until the end of May. The spatial distribution of the infections was highly heterogeneous, with 37% of the subdistricts accounting for 80% of all infections. A clear trend from the city center towards adjacent suburban and rural areas was observed, with a progressive slowdown of the epidemic spread (from 463 to 244 meters/day) prior to the citywide lockdown. During Phase 2, Rt remained well above 1 despite the implementation of multiple targeted interventions. The citywide lockdown imposed on April 1 led to a marked decrease in transmission, bringing Rt below the epidemic threshold in the entire city on April 14 and ultimately leading to containment of the outbreak. Interpretation: Our results highlight the risk of widespread outbreaks in mainland China, particularly under the heightened pressure of imported infections. The targeted interventions adopted in March 2022 were not capable of halting transmission, and the implementation of a strict, prolonged city-wide lockdown was needed to successfully contain the outbreak, highlighting the challenges for containing Omicron outbreaks. Funding: Key Program of the National Natural Science Foundation of China (82130093);Shanghai Rising-Star Program (22QA1402300).

4.
Infection and Drug Resistance ; 15:4541-4546, 2022.
Article in English | EMBASE | ID: covidwho-1997370

ABSTRACT

Purpose: The Chinese government has authorized the emergency use of an inactivated vaccine for COVID-19 in children and adolescents aged 3 to 17 years. This study aimed to investigate parents’ attitudes towards vaccinating their children against COVID-19 and influencing factors. Patients and Methods: Through an online questionnaire survey, we collected self-reported children’s demographic characteristics, physical conditions and parents’ attitudes towards COVID-19 vaccination for children. The parents in the unwilling group received online consultation about the benefits and risks of COVID-19 vaccine and were asked to complete the questionnaire again. Results: A total of 868 participants were recruited from July 2021 to August 2021 in Nanjing, China. Overall, 76.0% of parents were willing to accept vaccination for children. Parents’ willingness increased with children’s age (P=0.018) and height (P=0.034), but decreased if the children fell sick within previous one month (P=0.030). Most of the unwilling parents gave a higher score to the risk of vaccination (53.76 VS 40.18). Unsafety (63.8%) and unfamiliarity (24.0%) were their major concerns. After consultation with a health worker, 24% of the unwilling parents turned willing. Conclusion: Children’s age and recent physical condition are related to parents’ attitudes towards vaccination for children against COVID-19. The major concerns of parents are unsafety and unfamiliarity. Parents view health workers as a reliable source of vaccine information. A successful consultation with health workers to understand the benefits and risks of vaccination can increase parents’ willingness. This study provides insight into parents’ attitudes towards vaccination for children against COVID-19 in China and related influencing factors. Our findings could be referenced in establishing policies for vaccinating children against COVID-19 in China.

5.
9th International Symposium on Computing and Networking (CANDAR) ; : 10-18, 2021.
Article in English | Web of Science | ID: covidwho-1895886

ABSTRACT

Since the beginning of the Covid-19 Pandemic, many Countries adopted Contact Tracing Apps as an automatic way to trace if someone has been in contact with a Covid-19 patient. However, most existing solutions consider two party settings only. Since many people meet at the same time in real-life scenarios, one cannot extend current schemes to multi-party settings because they will not scale well and burden the device. In this paper, we propose a new contact tracing protocol that works in a multi-party setting. We evaluate our scheme to show its efficiency.

6.
China Journal of Accounting Research ; 15(2), 2022.
Article in English | Scopus | ID: covidwho-1872975

ABSTRACT

Using a 2009–2019 sample of Chinese bond issuers, we examine the effect of carbon risk on bond financing costs. Relative to low carbon risk issuers, high carbon risk issuers have substantially larger bond credit spreads, mainly because their credit risk is greater and they invest the funds in non-green projects. This positive relationship is more pronounced for issuers with financing constraints, those not making a green transition and those in cities with stringent environmental regulations. We find a reversed effect during the COVID-19 pandemic. However, China's carbon peak and carbon neutral goals have renewed the focus on carbon risk. Carbon risk also causes bond issuers to scale back production and negatively affects their likelihood of receiving long-term financial support. Our findings suggest that investors consider carbon risk and charge a corresponding risk premium. © 2022 Sun Yat-sen University

7.
53rd Annual ACM Technical Symposium on Computer Science Education, SIGCSE 2022 ; : 1154, 2022.
Article in English | Scopus | ID: covidwho-1788993

ABSTRACT

The recent pandemic has resulted in challenges to the prioritization of CS curriculum and strained the structures that support and grow the professional development and identity building of the teachers who implement it. In this poster we examine how local chapters of a national CS teacher advocacy organization (the CSTA) support their members during a time of transition and change. Using focus group data collected from an ongoing multi-year longitudinal research project, we tried to better understand the challenges that these entities faced as their normal structures of communication and outreach were closed off, and how such challenges might affect the perceptions of the role that local chapters play in supporting the continued development of their members, including their identity as CS teachers. © 2022 Owner/Author.

8.
Cancer Research ; 82(4 SUPPL), 2022.
Article in English | EMBASE | ID: covidwho-1779457

ABSTRACT

Background: Platinum agents induce DNA crosslinking and cause accumulation of genotoxic stress, which leads to immune activation via IFN-γ signaling, making the combination with nivolumab (PD-1 antibody) an attractive strategy to enhance the benefit of either agent alone in metastatic triple-negative breast cancer (mTNBC). Methods: In this phase II open-label, investigator-initiated, multicenter trial, patients with unresectable locally advanced or mTNBC treated with 0-1 prior lines of chemotherapy in the metastatic setting were randomized 1:1 to carboplatin (AUC 6) with or without nivolumab (360 mg) IV every 3 weeks. Stratification factors included: germline BRCA (gBRCA) status, prior neo/adjuvant platinum, and number of prior lines of metastatic therapy. After approval of PD-L1 inhibition for mTNBC, the study was amended to include first-line mTNBC only and PD-L1 status was added as a stratification factor. Patients randomized to carboplatin alone were allowed to crossover at progression to receive nivolumab (+ nab-paclitaxel post-amendment). The primary objective was to compare progression-free survival (PFS) per RECIST 1.1 criteria of carboplatin with or without nivolumab in first-line mTNBC in the S intent-to-treat (ITT) population. Key secondary objectives were objective response rate (ORR), overall survival (OS), clinical benefit rate, and duration and time to objective response. PD-L1 status was confirmed centrally using the SP142 Ventana assay (positive, ≥1% IC). Paired researchbiopsies at baseline, on-treatment and at progression were performed, if safely accessible. The trial closed to accrual prior to reaching target accrual due to approval of PD-1 inhibition in combination with platinum-based chemotherapy for PD-L1+ mTNBC. Results: Between 1/30/2018 and 12/9/2020, 78 patients enrolled. Three patients did not receive protocol treatment, and the safety analysis was conducted among the 75 that received any treatment;37 received carboplatin + nivolumab (Arm A), 38 received carboplatin alone (Arm B). Median age was 59.1 yrs (range: 25.4-75.8). Four patients (5.3%) had a known gBRCA1/2 mutation. Sixty-two (82.7%) patients received 0 prior lines (ITT population) and 13 (17.3%) 1 prior line of metastatic therapy. Sixty-seven patients (89.3%) experienced any grade ≥2 treatment-related adverse event (AE). The most frequent AE were platelet count decrease (n=40;53.3%), anemia (n=36;48.0%), neutrophil count decrease (n=33;44.0%) and fatigue (n=24;32.0%). Grade 3/4 AE were observed in 46 (61.3%) patients, and there was one grade 5 AE (COVID19 pneumonia). Any grade ≥2 immune-related AE (irAE) were observed in 25 of the 37 (67.6%) patients treated with carboplatin + nivolumab. Grade 3/4 irAE were observed in 11 (29.7%) patients. In the ITT population (32 on Arm A;30 on Arm B), median PFS was 4.2 months with carboplatin + nivolumab, and 5.5 months with carboplatin (stratified HR 0.98, 95% CI [0.51-1.88];p=0.95). ORR was 25% vs. 23.3%, respectively. At a median follow-up of 23.5 months, median OS was 17.5 months vs. 10.7 months (stratified HR 0.63, 95% CI [0.32-1.24];p=0.18). In patients with PD-L1+ mTNBC (13 on Arm A;11 on Arm B), median PFS was 8.3 months and 4.7 months, respectively (stratified HR 0.63, 95% CI [0.21-1.89];p=0.41). ORR was 23.1% vs. 27.3%, respectively. Median OS was 17.5 months vs. 9.6 months (stratified HR 0.59, 95% CI [0.20-1.75];p=0.34). Conclusions: Addition of nivolumab to carboplatin in patients with previously untreated mTNBC, unselected by PD-L1 status, did not significantly improve PFS. A trend toward improved PFS and OS was observed in patients with PD-L1+ mTNBC. Tissue, blood and intestinal microbiome biomarker analyses are planned;bulk tumor and single-cell sequencing, and TCR sequencing in peripheral blood are ongoing.

9.
8th International Conference on Information Technology and Quantitative Management, ITQM 2020 and 2021 ; 199:1-9, 2021.
Article in English | Scopus | ID: covidwho-1712917
10.
Zhonghua Liu Xing Bing Xue Za Zhi ; 43(2): 189-194, 2022 Feb 10.
Article in Chinese | MEDLINE | ID: covidwho-1698665

ABSTRACT

Objective: To understand the epidemiological characteristics of COVID-19 epidemic in Ejina banner, Inner Mongolia, in October 2021 and provide evidence for the improvement of COVID-19 prevention and control. Methods: The information about the time, area and population distributions of COVID-19 cases in Ejina before November 13, 2021 and the gene sequencing result of the isolates were collected for a statistical descriptive analysis. Results: The first COVID-19 case in Ejina occurred on 7 October, 2021. A total of 164 COVID-19 cases were reported from October 19 to November 12. Most cases were distributed in 6 communities in Darahub (156 cases, 95.12%). The result of full gene sequencing of the isolates indicted that the pathogen was Delta variant (B.1.617.2). The male to female ratio of the cases was 1.3∶1. The age of cases ranged from 1 to 85 years, and the cases aged 20-59 years accounted for 78.66%. The main clinical symptoms were sore throat (91 cases, 91.92%), cough (49 cases, 49.49%) and fever (23 cases, 23.23%). Most cases were ordinary ones (81 cases, 49.39%) and mild ones (68 cases, 41.46%). The cases were mainly detected at the isolation points (84 cases, 51.22%) and through population based nucleic acid testing (62 cases, 37.80%). The basic reproduction number (R0) of COVID-19 was 5.3, the average incubation period was 3.9 days. The local government rapidly started Ⅳ level emergency response and conducted 10 rounds of nucleic acid tests. The transferring of travelers reduced the risk for the further spread of COVID-19 in Ejina. Conclusions: The epidemic of COVID-19 in Ejina characterized by strong transmission, short incubation period, herd susceptibility and case clustering. Delta variant (B.1.617.2) was the pathogen, which might be imported from Zeke port. Comprehensive prevention and control measures, such as closed-loop management and vaccination, should be continued. The successful transferring of the patients and travelers provided evidence for the effective and precise prevention and control of COVID-19 in a routine manner.


Subject(s)
COVID-19 , Epidemics , Adolescent , Adult , Aged , Aged, 80 and over , Child , Child, Preschool , China/epidemiology , Female , Humans , Infant , Male , Middle Aged , SARS-CoV-2 , Young Adult
11.
9th International Symposium on Computing and Networking, CANDAR 2021 ; : 10-18, 2021.
Article in English | Scopus | ID: covidwho-1685062

ABSTRACT

Since the beginning of the Covid-19 Pandemic, many Countries adopted Contact Tracing Apps as an automatic way to trace if someone has been in contact with a Covid-19 patient. However, most existing solutions consider two party settings only. Since many people meet at the same time in real-life scenarios, one cannot extend current schemes to multi-party settings because they will not scale well and burden the device. In this paper, we propose a new contact tracing protocol that works in a multi-party setting. We evaluate our scheme to show its efficiency. © 2021 IEEE.

12.
Progress in Biochemistry and Biophysics ; 49(1):233-241, 2022.
Article in English | Web of Science | ID: covidwho-1667803

ABSTRACT

Proteins are the executors of various kinds of metabolism and regulation in cells and they are also the most important target molecules of pathogenic factors and drugs. The study of protein expression is necessary to understand life, disease processes and drug effects. At present, routine protein detection methods in clinical practice require the support of large equipment. However, with the development of medical technologies and especially under the special background of the coronavirus (COVID-19) pandemic, point-of-care testing (POCT, also known as on-site testing and bedside testing) has become the current development trend. POCT can improve the ways of interaction between patients and doctors and create a positive approach to medical treatment. In addition to diagnosing and treating diseases, POCT has advantages in both on-site and remote detection for personnel engaged in emergency work. Therefore, it is very important to develop accurate, sensitive, simple and fast protein POCT. To develop miniature devices for POCT, many new approaches have been attempted in recent years, including microfluidics, electrochemical biosensors, smart phones, artificial intelligence, and wearable devices. Microfluidics deals with small quantities of samples and is a universal platform for integrating a variety of technologies, such as immunochemistry, electrochemistry, and mass spectrometry. With microfluidic technology, the sample size, reaction time, and detection limit could be easily improved to satisfactory levels. The use of electrochemistry in detecting proteins has opened a new field in POCT. Since the core of electrochemistry lies in the nanocatalyst development, the rapidly growing research on nanomaterials also has facilitated and expanded the areas of POCT applications. Furthermore, the current frontier technologies employing 5G, artificial intelligence, and wearable devices have not only generated new possibilities but also greatly inspired scientists to create novel POCT devices. In conclusion, with the increasing demand of people and the continuous progress of science and technology, the development direction of future protein detection methods will be focused on portability, intellectualization, rapidity, integration of diagnosis and treatment by multidisciplinary approaches for better application in clinical practice and applicability for bedside and home testing.

13.
Electronics (Switzerland) ; 10(23), 2021.
Article in English | Scopus | ID: covidwho-1542464

ABSTRACT

With the advent of the new media mobile Internet era, the network public opinion in colleges and universities, as an extension of social network public opinion, is also facing a crisis in the prevention, control, and governance system. In this paper, the Fiddler was used to collect the comments and other relevant data of the COVID-19 topic articles on the WeChat Official Accounts of China’s top ten universities in 2020. The BILSTM_LSTM sentiment analysis model was used to analyze the sentiment tendency of the comments, and the LDA topic model was used to mine the topics of the comments with different emotional attributes at different stages of COVID-19. Based on sentiment analysis and text mining, entities and relationships in the theme graph of public opinion events in colleges and universities were identified, and the Neo4j graph database was established to construct the sentimental knowledge graph of the pandemic theme of university public accounts. People’s attitudes in university public opinion are easily influenced by a variety of factors, and the degree of emotional disposition changes over time, with the stage the pandemic is in, and with different commentators;official account opinion topics change with the development of the time stage of the pandemic, and students’ positive and negative comment topics show a diverse trend. By incorporating topic mining into the sentimental knowledge graph, the graph can realize functions such as the emotion retrieval of comments on university public numbers, a source search of security threats in university social networks, and monitoring of comments on public opinion under the theme of the pandemic, which provides new ideas for further exploring the research and governance system of university network public opinion and is conducive to preventing and resolving campus public opinion crises. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

14.
American Control Conference (ACC) ; : 3132-3137, 2021.
Article in English | Web of Science | ID: covidwho-1486012

ABSTRACT

Masks are used as part of a comprehensive strategy of measures to limit transmission and save lives during the COVID-19 pandemic. Research about the impact of mask-wearing in the COVID-19 pandemic has raised formidable interest across multiple disciplines. In this paper, we investigate the impact of mask-wearing in spreading processes over complex networks. This is done by studying a heterogeneous bond percolation process over a multi-type network model, where nodes can be one of two types (mask-wearing, and not-mask-wearing). We provide analytical results that accurately predict the expected epidemic size and probability of emergence as functions of the characteristics of the spreading process (e.g., transmission probabilities, inward and outward efficiency of the masks, etc.), the proportion of mask-wearers in the population, and the structure of the underlying contact network. In addition to the theoretical analysis, we also conduct extensive simulations on random networks. We also comment on the analogy between the mask-model studied here and the multiple-strain viral spreading model with mutations studied recently by Eletreby et al.

15.
IEEE Transactions on Engineering Management ; 2021.
Article in English | Scopus | ID: covidwho-1476077

ABSTRACT

When a rumor breaks out in online social network (OSN), it can lead to significant negative impact on human society, especially in the context of public emergencies, such as pandemic. Toward restraining rumor outbreak in OSN, one of the effective containment measures is to block influential users to minimize the spread of rumors. However, most of previous efforts ignore the imbalance between the cost and effect of rumor suppression. To fill this gap, from the perspective of public opinion crisis, a dynamic rumor spread model called PISIR model is established, which takes into account the overall popularity and individual tendency of rumors. Based on this model, two rumor blocking algorithms considering outbreak threshold and user experience, called 1-Hop and 2-Hop RBOTUE algorithms, are proposed, respectively. In the algorithms, a hyperbolic discount effect-based user experience mode is introduced as the constraint to ensure the user experience in OSN, then the blocking strategy is implemented on the selected subset of nodes to keep the rumor spread scale always below the outbreak warning line. The experimental results in two synthetic networks and four real OSNs indicate that both 1-Hop and 2-Hop RBOTUE algorithms have lower rumor infection rate and require less number of blocked nodes, which means that proposed algorithms can achieve better blocking performance with less restraining cost of rumors in mainstream social networks, and the two algorithms also have different adaptability for different OSNs. IEEE

16.
PUBMED; 2021.
Preprint in English | PUBMED | ID: ppcovidwho-291501

ABSTRACT

Genomic surveillance has shaped our understanding of SARS-CoV-2 variants, which have proliferated globally in 2021. We collected country-specific data on SARS-CoV-2 genomic surveillance, sequencing capabilities, public genomic data from multiple public repositories, and aggregated publicly available variant data. Then, different proxies were used to estimate the sequencing coverage and public availability extent of genomic data, in addition to describing the global dissemination of variants. We found that the COVID-19 global epidemic clearly featured increasing circulation of Alpha since the start of 2021, which was rapidly replaced by the Delta variant starting around May 2021. SARS-CoV-2 genomic surveillance and sequencing availability varied markedly across countries, with 63 countries performing routine genomic surveillance and 79 countries with high availability of SARS-CoV-2 sequencing. We also observed a marked heterogeneity of sequenced coverage across regions and countries. Across different variants, 21-46% of countries with explicit reporting on variants shared less than half of their variant sequences in public repositories. Our findings indicated an urgent need to expand sequencing capacity of virus isolates, enhance the sharing of sequences, the standardization of metadata files, and supportive networks for countries with no sequencing capability.

17.
Zhonghua Yu Fang Yi Xue Za Zhi ; 55(9): 1059-1066, 2021 Sep 06.
Article in Chinese | MEDLINE | ID: covidwho-1463875

ABSTRACT

Objective: To study the characteristics and risk factors of psychological and behavioral problems of children and adolescents of different ages and genders in long-term home-schooling during the coronavirus disease-2019 pandemic. Further, to provide scientific basis for more targeted psychological intervention and coping strategies in the future. Methods: A cross-sectional survey using an online questionnaire was conducted on students aged 6-16 years old in five representative cities of North (Beijing), East (Shanghai), West (Chongqing), South (Guangzhou) and Middle (Wuhan) in China. In this study, the social behavior and psychological abnormalities which was defined as the positive of any dimension were investigated in multiple dimensions during long-term home-schooling. The influencing factors of psycho-behavioral problems were analyzed by Logistic regression, and the confounding factors were corrected with graded multivariable adjustment. Results: A total of 6 906 valid questionnaires were collected including 3 592 boys and 3 314 girls, of whom 3 626 were children (6-11 years old) and 3 280 were adolescents (12-16 years old). The positive detection rate of psychosocial-behavioral problems were 13.0% (900/6 906) totally, 9.6% (344/3 592) in boys and 16.8% (556/3 314) in girls respectively, and 7.3%(142/1 946) in boys aged 6-11, 14.0%(235/1 680) in girls aged 6-11, 12.3%(202/1 646) in boys aged 12-16, 19.6%(321/1 634) in girls aged 12-16 respectively. There were significant differences between the psychological problems group and the non-psychological problems group in gender, parent-offspring conflict, number of close friends, family income change, sedentary time, homework time, screen exposure time, physical activity, dietary problems (χ²=78.851, 285.264, 52.839, 26.284, 22.778, 11.024, 10.688, 36.814, 70.982, all P<0.01). The most common symptoms in boys aged 6-11 years were compulsive activity, schizoid and depression, in girls aged 6-11 years were schizoid/compulsive activity, hyperactivity and social withdrawal, in boys aged 12-16 years were hyperactivity, compulsive activity and aggressive behavior, and in girls aged 12-16 years were schizoid, anxiety/compulsive activity and depression/withdrawal, respectively. After graded multivariable adjustment, besides the common risk factors, homework time and online study time were the risk factors of 6-11 years old groups [boys OR(95%CI): 1.750 (1.32-2.32), 1.214(1.00-1.47), girls: 1.579(1.25-1.99), 1.222(1.05-1.42), all P<0.05], videogames time were the risk factors of 12-16 years old groups [ boys: 2.237 (1.60-3.13), girls: 1.272 (1.00-1.61), all P<0.05]. Conclusions: Some children and adolescents may have psychological and behavioral problems during long-term home-schooling. The psychological and behavioral manifestations differed in age and gender subgroups, which deserve special attention in each subgroups. Schools, families and specialists should actively provide precise psychological support and comprehensive intervention strategies according to special features and risk factors.


Subject(s)
COVID-19 , Adaptation, Psychological , Adolescent , Child , China , Cross-Sectional Studies , Female , Humans , Male , SARS-CoV-2
18.
Bulletin of the Chemical Society of Japan ; 94(6):1794-1798, 2021.
Article in English | Web of Science | ID: covidwho-1388870

ABSTRACT

The interaction energies between the receptor-binding domain of SARS-CoV-2 spike proteins and neutralizing antibody CC12.1 Fab were calculated using the fragment molecular orbital method. South African and Brazilian variants showed weaker interactions than the wild-type. Mutations, K417N/T and E484K, were considered to be responsible for escape from the antibody.

19.
2nd International Conference on Education, Knowledge and Information Management, ICEKIM 2021 ; : 884-887, 2021.
Article in English | Scopus | ID: covidwho-1345856

ABSTRACT

The Innovation Laboratory provides a research environment for undergraduate students of Nankai University. In response to COVID-19 prevention, we design and develop the Appointment Management System, which transfers the lab management from offline to online. The system has three major functions. Firstly, the regulations learning module provides the necessary knowledge of the laboratory usages. Secondly, the appointment module implements the complete processing of laboratory applications and reviews. Thirdly, the usage statistic module realizes the functions of lab monitoring and access controlling. Therefore, the system enables a contactless lab management model, which greatly reduces the risk of infectious diseases spreading. The Appointment Management System not only improves the laboratory management scientifically, but also provides powerful security for the faculty and students' research environment during the epidemic. © 2021 IEEE.

20.
Chinese General Practice ; 24(20):2594-2600, 2021.
Article in Chinese | Scopus | ID: covidwho-1289246

ABSTRACT

Background The COVID-19 has become a global pandemic declared by the WHO, and the severity of which affects the prognosis of patients. Objective To explore the prognostic indicators for severity and their predictive values in COVID-19 patients, providing a reference for clinical prediction of patients'outcome and prognosis. Methods Eight databases (The Cochrane Library, Embase, PubMed, Web of Science, SinoMed, CNKI, Wanfang Data Knowledge Service Platform, VIP)were searched from inception to 2020-09-03 for randomized controlled trials(RCTs)about severe versus non-severe COVID-19 patients or deceased versus survived COVID-19 patients with prognostic indicators〔including procalcitonin (PCT), C-reactive protein (CRP), lymphocyte count (LYM), interleukin-6 (IL-6), D-dimer〕studied. The modified Jaded Scale was used to assess the methodological quality. Stata 12.0 was used for meta-analysis. Results Fifteen RCTs were included, involving 1 476 cases, all were assessed with high methodological quality(modified Jadad Scale score ranging from 4 to 5 points). Meta-analysis found that severe COVID-19 patients had higher mean values of PCT〔SMD=-2.28, 95%CI (-3.60, -0.98), P<0.001〕, CRP〔SMD=-2.23, 95%CI (-3.38, -1.07), P<0.001〕, IL-6〔SMD=-2.97, 95%CI (-4.94, -1.00), P<0.001〕, and D-dimer〔SMD=-1.22, 95%CI (-2.66, 0.21), P=0.008〕than non-severe COVID-19 patients. Severe COVID-19 patients had lower mean LYM〔SMD=1.41, 95%CI (0.34, 2.48), P<0.001〕. The deceased COVID-19 patients had higher mean values of PCT〔SMD=-4.11, 95%CI (-9.98, 1.76), P=0.007〕, CRP〔SMD=-2.73, 95%CI (-4.21, -1.25), P<0.001〕, IL-6〔SMD=-3.79, 95%CI (-4.90, -2.67), P<0.001〕, and D-dimer〔SMD=-0.68, 95%CI (-1.46, 0.09), P=0.009〕 than the survived.The deceased COVID-19 patients had lower mean LYM 〔SMD=2.08, 95%CI (0.93, 3.22), P<0.001〕. Conclusion Increased PCT, CRP, IL-6 and D-dimer and decreased LYM were found in severe or deceased COVID-19 patients, indicating that the former three may be positively correlated with severity, while the latter may be negatively correlated with severity. These five indicators may be used as prognostic indicators for severity, too high PCT, CRP, IL-6 and D-dimer, and too low LYM may suggest a poor prognosis. Copyright © 2021 by the Chinese General Practice.

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