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1.
Chinese Journal of General Practitioners ; 21(6):567-572, 2022.
Article in Chinese | Scopus | ID: covidwho-1934280

ABSTRACT

Artificial Intelligence (AI) is an interdisciplinary subject developed on the basis of computer technology, cybernetics, mathematics, philosophy and brain science. The purpose of AI is to study new ways to extend the intelligence of human brain in various fields. In recent years, the rapid development of AI technology has brought innovation to medical science and health care. During the pandemic of coronavirus disease 2019 (COVID‑19) AI has been widely used in epidemiological investigation and outbreak prediction, clinical diagnosis and treatment, hospital management, research and development of new drugs and vaccines. The application of AI has reduced the clinical workload and the consumption of medical resources, greatly assisted the battle against COVID‑19. This article introduces the progresses on the applications of AI technology to provide information for its further application in the fighting against COVID‑19. © 2022 Chinese Medical Journals Publishing House Co.Ltd.

2.
Journal of Food and Drug Analysis ; 30(2):252-270, 2022.
Article in English | Web of Science | ID: covidwho-1918368

ABSTRACT

On analyzing the results of cell-based assays, we have previously shown that perilla (Perilla frutescens) leaf extract (PLE), a food supplement and orally deliverable traditional Chinese medicine approved by the Taiwan Food and Drug Administration, effectively inhibits SARS-CoV-2 by directly targeting virions. PLE was also found to modulate virus-induced cytokine expression levels. In this study, we explored the anti-SARS-CoV-2 activity of PLE in a hamster model by examining viral loads and virus-induced immunopathology in lung tissues. Experimental animals were intranasally challenged with different SARS-CoV-2 doses. Jugular blood samples and lung tissue specimens were obtained in the acute disease stage (3-4 post-infection days). As expected, SARS-CoV-2 induced lung inflammation and hemorrhagic effusions in the alveoli and perivascular areas;additionally, it increased the expression of several immune markers of lung injury - including lung Ki67-positive cells, Iba-1-positive macrophages, and myeloperoxidase-positive neutrophils. Virus-induced lung alterations were significantly attenuated by orally administered PLE. In addition, pretreatment of hamsters with PLE significantly reduced viral loads and immune marker expression. A purified active fraction of PLE was found to confer higher antiviral protection. Notably, PLE prevented SARS-CoV-2-induced increase in serum markers of liver and kidney function as well as the decrease in serum high-density lipoprotein and total cholesterol levels in a dose-dependent fashion. Differently from lung pathology, monitoring of serum biomarkers in Syrian hamsters may allow a more humane assessment of the novel drugs with potential anti-SARS-CoV-2 activity. Our results expand prior research by confirming that PLE may exert an in vivo therapeutic activity against SARS-CoV-2 by attenuating viral loads and lung tissue inflammation, which may pave the way for future clinical applications.

3.
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering ; 42(12):4623-4632, 2022.
Article in Chinese | Scopus | ID: covidwho-1912216

ABSTRACT

Coronavirus Disease 2019 is an acute respiratory infectious disease caused by Severe Acute Respiratory Syndrome Coronavirus 2, which has posed a major threat to world economic development and people's health and security. In view of the emergence of virus variants, the difficulty of prevention and control is constantly escalating, and rapid, simple and large-scale detection methods play a key role in epidemic control. Based on Fourier transform infrared spectroscopy detection technology, pattern recognition and plasma disinfection technology, this paper developed a new integrated system for the detection and disinfection of pathogens, and preliminarily tested the effectiveness of the system. In terms of 'detection', the data scale was expanded from 115 to 857 cases. Recognition algorithms including partial least squares classification and convolutional neural network were used to establish classification models for the positive, health control and interference samples, and the prediction accuracy could reach 91.97% and 98.29% respectively. In terms of 'disinfection',to reduce the safety risk of the operation safety, a sample drying and disinfection module and a flexible disinfection film were developed based on the plasma disinfection technology, which was used to protect the key positions of the instruments. The disinfection rate of E. coli in both modules could be higher than 99.9%, in line with the relevant provisions. In summary, the two parts of the spectroscopy detection process of Coronavirus Disease 2019 samples have been innovated. For the first time, the combination of 'detection' and 'disinfection' has been realized, which is conducive to the application and promotion of spectroscopy detection methods. © 2022 Chin. Soc. for Elec. Eng.

4.
LANDSCAPE JOURNAL ; 41(1):15-29, 2022.
Article in English | Web of Science | ID: covidwho-1911013

ABSTRACT

Parks play a critical role in the health and well-being of people in urban environments. Recent events such as the COVID-19 pandemic have underscored the importance of public parks, particularly in cities. To maximize the benefits of these spaces, it is important to understand the social dimension of site user experiences within successful urban parks. Social media data provide a means to assess public places through the lens of large quantities of site users over time. Recent landscape research studies provide assessments of urban and nature-based locations using social media data and are predominantly quantitative in their methodologies (Havinga et al., 2021;Donahue et al., 2018;Wood et al., 2013). However, incorporating mixed methods into existing approaches can create a better understanding of site user experiences. This study uses 11,419 Tripadvisor reviews from the years 2010 to 2018 in a multi-step process, where qualitative content analysis builds upon Latent Dirichlet allocation (LDA) modeling topics to assess the semantic content of Bryant Park, NY. The new framework emerging from this process separates site user perceptions and sentiment positivity into categories. Site design elements are revealed as a major positive focus of site users, along with the position of the park within the urban fabric, site activity consisting of passive pastimes, and the essence of the space related to emotions. The study's findings can provide guidance for designers and park managers for the creation of successful urban parks and provide another baseline for research on New York City's parks.

5.
British Journal of Surgery ; 108:127-127, 2021.
Article in English | Web of Science | ID: covidwho-1894095
6.
Embase; 2022.
Preprint in English | EMBASE | ID: ppcovidwho-334805

ABSTRACT

Omicron sub-lineage BA.2 has rapidly surged globally, accounting for over 60% of recent SARS-CoV-2 infections. Newly acquired RBD mutations and high transmission advantage over BA.1 urge the investigation of BA.2's immune evasion capability. Here, we show that BA.2 causes strong neutralization resistance, comparable to BA.1, in vaccinated individuals' plasma. However, BA.2 displays more severe antibody evasion in BA.1 convalescents, and most prominently, in vaccinated SARS convalescents' plasma, suggesting a substantial antigenicity difference between BA.2 and BA.1. To specify, we determined the escaping mutation profiles1,2 of 714 SARS-CoV-2 RBD neutralizing antibodies, including 241 broad sarbecovirus neutralizing antibodies isolated from SARS convalescents, and measured their neutralization efficacy against BA.1, BA.1.1, BA.2. Importantly, BA.2 specifically induces large-scale escape of BA.1/BA.1.1effective broad sarbecovirus neutralizing antibodies via novel mutations T376A, D405N, and R408S. These sites were highly conserved across sarbecoviruses, suggesting that Omicron BA.2 arose from immune pressure selection instead of zoonotic spillover. Moreover, BA.2 reduces the efficacy of S309 (Sotrovimab)3,4 and broad sarbecovirus neutralizing antibodies targeting the similar epitope region, including BD55-5840. Structural comparisons of BD55-5840 in complexes with BA.1 and BA.2 spike suggest that BA.2 could hinder antibody binding through S371F-induced N343-glycan displacement. Intriguingly, the absence of G446S mutation in BA.2 enabled a proportion of 440-449 linear epitope targeting antibodies to retain neutralizing efficacy, including COV2-2130 (Cilgavimab)5. Together, we showed that BA.2 exhibits distinct antigenicity compared to BA.1 and provided a comprehensive profile of SARS-CoV-2 antibody escaping mutations. Our study offers critical insights into the humoral immune evading mechanism of current and future variants.

7.
PubMed; 2020.
Preprint in English | PubMed | ID: ppcovidwho-333514

ABSTRACT

BACKGROUND: The novel human coronavirus disease 2019 (COVID-19) pandemic has claimed more than 240,000 lives worldwide, causing tremendous public health, social, and economic damages. While the risk factors of COVID-19 are still under investigation, environmental factors, such as urban air pollution, may play an important role in increasing population susceptibility to COVID-19 pathogenesis. METHODS: We conducted a cross-sectional nationwide study using zero-inflated negative binomial models to estimate the association between long-term (2010-2016) county-level exposures to NO2, PM2.5 and O3 and county-level COVID-19 case-fatality and mortality rates in the US. We used both single and multipollutant models and controlled for spatial trends and a comprehensive set of potential confounders, including state-level test positive rate, county-level healthcare capacity, phase-of-epidemic, population mobility, sociodemographic, socioeconomic status, behavior risk factors, and meteorological factors. RESULTS: 1,027,799 COVID-19 cases and 58,489 deaths were reported in 3,122 US counties from January 22, 2020 to April 29, 2020, with an overall observed case-fatality rate of 5.8%. Spatial variations were observed for both COVID-19 death outcomes and long-term ambient air pollutant levels. County-level average NO2 concentrations were positively associated with both COVID-19 case-fatality rate and mortality rate in single-, bi-, and tri-pollutant models (p-values<0.05). Per inter-quartile range (IQR) increase in NO2 (4.6 ppb), COVID-19 case-fatality rate and mortality rate were associated with an increase of 7.1% (95% CI 1.2% to 13.4%) and 11.2% (95% CI 3.4% to 19.5%), respectively. We did not observe significant associations between long-term exposures to PM2.5 or O3 and COVID-19 death outcomes (p-values>0.05), although per IQR increase in PM2.5 (3.4 ug/m3) was marginally associated with 10.8% (95% CI: -1.1% to 24.1%) increase in COVID-19 mortality rate. DISCUSSIONS AND CONCLUSIONS: Long-term exposure to NO2, which largely arises from urban combustion sources such as traffic, may enhance susceptibility to severe COVID-19 outcomes, independent of long-term PM2.5 and O3 exposure. The results support targeted public health actions to protect residents from COVID-19 in heavily polluted regions with historically high NO2 levels. Moreover, continuation of current efforts to lower traffic emissions and ambient air pollution levels may be an important component of reducing population-level risk of COVID-19 deaths.

8.
3rd International Academic Exchange Conference on Science and Technology Innovation, IAECST 2021 ; : 986-989, 2021.
Article in English | Scopus | ID: covidwho-1774590

ABSTRACT

After a major outbreak of the new coronavirus, people are also aware of the importance of daily disinfection of public places, which can effectively cut off the path of infection among the public and reduce the possibility of transmission. Currently, the cleaning of stairs still needs to be done manually, and there is no machine on the market that can perform the corresponding operations independently. For the handrails in the stairwell, only simple cleaning, lack of effective disinfection work, the traditional manual cleaning efficiency is low, high labor intensity, high cleaning costs, the project team designed a cleaning machine that can automatically sweep the steps and handrails. This device can realize the automatic process of handrail and stair cleaning and disinfection. © 2021 IEEE.

9.
2021 IEEE International Conference on Multimedia and Expo, ICME 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1759081

ABSTRACT

Video conferencing is an essential way for contactless conversation, which conveys abundant multimedia signals. Especially under COVID-19, the video conference has been becoming a common way for daily communications. However, for the sake of plague prevention, it usually happens that the people attending the video conference are wearing a mouth mask, leading to inconvenient communication due to incomplete facial information. To tackle this problem, we develop a novel system that reveals the masked faces in real-time, making each participant feel like the others are mask-free. Moreover, we map the audio to 3DMM expression to guide the generation of various mouth shapes utilizing multi-modal information. Extensive experiments validate the revealing effectiveness and better user experience of the system. Furthermore, by applying lightweight networks design, the proposed system can run in real-time. © 2021 IEEE

10.
14th International Conference on Cloud Computing, CLOUD 2021 held as Part of the Services Conference Federation, SCF 2021 ; 12989 LNCS:97-104, 2022.
Article in English | Scopus | ID: covidwho-1748565

ABSTRACT

The ongoing COVID-19 pandemic is bringing an “infodemic” on social media. Simultaneously, the huge volume of misinformation (such as rumors, fake news, spam posts, etc.) is scattered in every corner of people’s social life. Traditional misinformation detection methods typically focus on centralized offline processing, that is, they process pandemic-related social data by deploying the model in a single local server. However, such processing incurs extremely long latency when detecting social misinformation related to COVID-19, and cannot handle large-scale social misinformation. In this paper, we propose COS2, a distributed and scalable system that supports large-scale COVID-19-related social misinformation detection. COS2 is able to automatically deploy many groups to distribute deep learning models in scalable cloud servers, process large-scale COVID-19-related social data in various groups, and efficiently detect COVID-19-related tweets with low latency. © 2022, Springer Nature Switzerland AG.

11.
Frontiers in Education ; 6:11, 2022.
Article in English | Web of Science | ID: covidwho-1745146

ABSTRACT

The lockdown control measures implemented against the pandemic of COVID-19 have had a global effect on various aspects of our lives as a society. Considering the impact of the lockdown caused by COVID-19 on adolescents, we conducted practical longitudinal research on the changes in adolescent satisfaction before and after lockdown. A total of 221 students aged 13-19 years from a professional adolescent football school in China participated in a self-report satisfaction questionnaire before and after the lockdown. The results showed that the satisfaction of adolescents improved significantly after the lockdown. There were significant differences based on age in the improvement rate, but the correlation between the students' home regions (and how they were affected by COVID-19) and satisfaction improvement was not significant. To examine the possible reasons behind the improvement in adolescent satisfaction, we then analyzed in detail the online teaching and training methods implemented by the school during the lockdown. Based on this investigation, we outlined recommendations to guide future practice. This research is expected to deepen the theory and practice associated with the development of Chinese adolescent teaching, which may be applied to other training institutions.

12.
5th IEEE International Conference on Smart Internet of Things, SmartIoT 2021 ; : 322-326, 2021.
Article in English | Scopus | ID: covidwho-1741253

ABSTRACT

This paper studied the impact of COVID-19 on garlic price and found a model with high accuracy to predict garlic price to provide reference for relevant personnel in the garlic industry. Through the analysis of the average weekly price of garlic over the years, and analysis of garlic prices at specific time points since the outbreak in 2020.It was found that the outbreak had a relatively large impact on garlic prices,which kept garlic prices low relative to previous years. In order to better respond to emergencies.Therefore, it is particularly important to find a better forecasting model for garlic price prediction. It can provide a reference for people engaged in garlic industry.The CEEDMAN-LSTM combined model is used to forecast the average weekly garlic price in 2020, and the prediction results show that the model is suitable for the prediction of garlic price. © 2021 IEEE.

13.
Embase;
Preprint in English | EMBASE | ID: ppcovidwho-327041

ABSTRACT

The SARS-CoV-2 Omicron with increased fitness is spreading rapidly worldwide. Analysis of cryo-EM structures of the Spike (S) from Omicron reveals amino acid substitutions forging new interactions that stably maintain an “active” conformation for receptor recognition. The relatively more compact domain organization confers improved stability and enhances attachment but compromises the efficiency of viral fusion step. Alterations in local conformation, charge and hydrophobic microenvironments underpin the modulation of the epitopes such that they are not recognized by most NTD- and RBD-antibodies, facilitating viral immune escape. Apart from already existing mutations, we have identified three new immune escape sites: 1) Q493R, 2) G446S and 3) S371L/S373P/S375F that confers greater resistance to five of the six classes of RBD-antibodies. Structure of the Omicron S bound with human ACE2, together with analysis of sequence conservation in ACE2 binding region of 25 sarbecovirus members as well as heatmaps of the immunogenic sites and their corresponding mutational frequencies sheds light on conserved and structurally restrained regions that can be used for the development of broad-spectrum vaccines and therapeutics.

14.
Embase;
Preprint in English | EMBASE | ID: ppcovidwho-326980

ABSTRACT

Omicron, the most heavily mutated SARS-CoV-2 variant so far, is highly resistant to neutralizing antibodies, raising unprecedented concerns about the effectiveness of antibody therapies and vaccines. We examined whether sera from individuals who received two or three doses of inactivated vaccine, could neutralize authentic Omicron. The seroconversion rates of neutralizing antibodies were 3.3% (2/60) and 95% (57/60) for 2- and 3-dose vaccinees, respectively. For three-dose recipients, the geometric mean neutralization antibody titer (GMT) of Omicron was 15, 16.5-fold lower than that of the ancestral virus (254). We isolated 323 human monoclonal antibodies derived from memory B cells in 3-dose vaccinees, half of which recognize the receptor binding domain (RBD) and show that a subset of them (24/163) neutralize all SARS-CoV-2 variants of concern (VOCs), including Omicron, potently. Therapeutic treatments with representative broadly neutralizing mAbs individually or antibody cocktails were highly protective against SARS-CoV-2 Beta infection in mice. Atomic structures of the Omicron S in complex with three types of all five VOC-reactive antibodies defined the binding and neutralizing determinants and revealed a key antibody escape site, G446S, that confers greater resistance to one major class of antibodies bound at the right shoulder of RBD through altering local conformation at the binding interface. Our results rationalize the use of 3-dose immunization regimens and suggest that the fundamental epitopes revealed by these broadly ultrapotent antibodies are a rational target for a universal sarbecovirus vaccine.

15.
Journal of Electrostatics ; 115, 2022.
Article in English | Scopus | ID: covidwho-1626161

ABSTRACT

Respirators have become popular personal protective equipment since the COVID-19 pandemic. The key material in respirators is the melt-blown polypropylene electret fabric (MBPPEF). In this article, the filtering and inactivating effects of electrostatic fields in the respirator materials on Staphylococcus aureus (S. aureus) are studied. As a typical airborne microorganism, S. aureus is often employed to evaluate the antibacterial performance of air filtration equipment. The results prove that the electrostatic field in MBPPEF plays the key role in filtrating S. aureus. All MBPPEF from different charging method can have a filtering efficiency of more than 99% against S. aureus. The inactivation rate of positive corona charged sample is the highest. The charging method will affect the formation of electrostatic fields in the MBPPEF, thereby affecting their antibacterial performance. © 2022

16.
Ann R Coll Surg Engl ; 2021 Nov 22.
Article in English | MEDLINE | ID: covidwho-1528705

ABSTRACT

INTRODUCTION: Following the initial COVID-19 surge in the UK, there was a national incentive for elective vascular surgery to be restricted to 'clean' sites to reduce perioperative cross-infection and subsequent mortality. We assessed the risk of dying from perioperatively acquired COVID-19 during the peak of the London outbreak. METHODS: Forty-three consecutive patients who had vascular (n=48) procedures in March and April 2020 at a regional hub serving five London hospitals were analysed. The patients were screened for COVID-19 in the 30-day postoperative period and the main outcome measure was mortality from COVID-19. A comparison was then made with patients who underwent minimally invasive procedures in our integrated interventional radiology department. Median follow-up was 41 days (interquartile range 8-58) overall. RESULTS: Three patients (7%) in the vascular group (median age 61 years, all diabetic, two male) died from COVID-19, all of whom tested positive postoperatively. Two others became positive but recovered. In comparison, two patients (2%) in the interventional radiology group died from COVID-19; however, one was positive prior to their procedure. CONCLUSION: Only urgent vascular cases should be performed during a COVID-19 surge. However, with growing waiting lists for elective surgery following the pandemic's second wave, further restrictions may not be a viable long-term solution. When prevalence of the disease is lower and if resources allow, resumption of care at 'hot' sites should be considered, if safety measures can be implemented. The advantages of minimally invasive surgery may also reduce risk.

17.
Chinese Journal of Ocular Fundus Diseases ; 37(10):812-817, 2021.
Article in Chinese | Scopus | ID: covidwho-1526871

ABSTRACT

Currently, coronavirus disease 2019 (COVID-19) is still widely prevalent around the world, leading to a major threat to the global public health. COVID-19 mainly involves the respiratory system, but extrapulmonary manifestations including that of the nervous system also exist in the setting of COVID-19. Misdiagnosis and delayed treatment of the disease may easily cause when ocular, especially neuro-ophthalmological symptoms are the first symptoms in early COVID-19, as the neuroophthalmological manifestations are rarely reported. First-line clinicians need to ask about not only respiratory symptoms such as fever, cough and sore throat, but also diplopia, impaired vision, eye motion pain, abnormal gait or other neurological deficits at the first reception, as these extrapulmonary manifestations are often signs of serious infection. The neuroophthalmological manifestations and possible underlying etiology of COVID-19 were summarized in this review, hoping to provide an early identification and effective treatment of COVID-19 for clinicians. More extensive studies are needed in the future to confirm the causal relationship between COVID-19 and neuroophthalmological disease to provide a sufficient basis for a comprehensive understanding of COVID-19. Copyright © 2021 by the Chinese Medical Association.

18.
Lancet Infectious Diseases ; 21(5):617-628, 2021.
Article in English | Web of Science | ID: covidwho-1510470

ABSTRACT

Methods This retrospective cohort study included the households of all laboratory-confirmed or clinically confirmed COVID-19 cases and laboratory-confirmed asymptomatic SARS-CoV-2 infections identified by the Wuhan Center for Disease Control and Prevention between Dec 2, 2019, and April 18, 2020. We defined households as groups of family members and close relatives who did not necessarily live at the same address and considered households that shared common contacts as epidemiologically linked. We used a statistical transmission model to estimate household secondary attack rates and to quantify risk factors associated with infectivity and susceptibility to infection, accounting for individual-level exposure history. We assessed how intervention policies affected the household reproductive number, defined as the mean number of household contacts a case can infect. Findings 27 101 households with 29 578 primary cases and 57 581 household contacts were identified. The secondary attack rate estimated with the transmission model was 15middot6% (95% CI 15middot2-16middot0), assuming a mean incubation period of 5 days and a maximum infectious period of 22 days. Individuals aged 60 years or older were at a higher risk of infection with SARS-CoV-2 than all other age groups. Infants aged 0-1 years were significantly more likely to be infected than children aged 2-5 years (odds ratio [OR] 2middot20, 95% CI 1middot40-3middot44) and children aged 6-12 years (1middot53, 1middot01-2middot34). Given the same exposure time, children and adolescents younger than 20 years of age were more likely to infect others than were adults aged 60 years or older (1middot58, 1middot28-1middot95). Asymptomatic individuals were much less likely to infect others than were symptomatic cases (0middot21, 0middot14-0middot31). Symptomatic cases were more likely to infect others before symptom onset than after (1middot42, 1middot30-1middot55). After mass isolation of cases, quarantine of household contacts, and restriction of movement policies were implemented, household reproductive numbers declined by 52% among primary cases (from 0middot25 [95% CI 0middot24-0middot26] to 0middot12 [0middot10-0middot13]) and by 63% among secondary cases (from 0middot17 [0middot16-0middot18] to 0middot063 [0middot057-0middot070]). Interpretation Within households, children and adolescents were less susceptible to SARS-CoV-2 infection but were more infectious than older individuals. Presymptomatic cases were more infectious and individuals with asymptomatic infection less infectious than symptomatic cases. These findings have implications for devising interventions for blocking household transmission of SARS-CoV-2, such as timely vaccination of eligible children once resources become available.

19.
40th Chinese Control Conference, CCC 2021 ; 2021-July:3357-3362, 2021.
Article in English | Scopus | ID: covidwho-1485675

ABSTRACT

Telemedicine is of growing importance for the increasing number of patients with population aging, lack of medical resources in the countryside, and special situation such as the COVID-19 pandemic. Gait impairment is a major motor symptom for patients suffering from neurological disorders such as Parkinson's disease (PD), and serves as an important indicator for early screening and diagnosis of the disease. Existing gait analysis methods typically require advanced equipment, trained professionals, and complex procedures. In this paper, we propose a method to classify the abnormal gait of patients suffering from Parkinson's disease and normal gait, solely with the 2D walking videos recorded by a common camera or a smartphone. A pose estimation algorithm is employed to extract the skeleton of the subjects from the videos. Based on the analysis of motor disturbances resulting from Parkinson's disease, specific gait features are defined and extracted, including step length, walking speed, arm swing magnitude, and velocity. Considering that the sample size of clinical data is limited in the early stage, classic classifiers are applied, including logistic regression (LR), support vector machine (SVM), and random forest (RF). The registered clinical study was conducted with 20 PD patients and 20 age-matched healthy controls. With the three classifiers, 87.5% (LR), 90.0% (SVM), and 92.5% (RF) of classification accuracy were achieved, respectively. Thus, video-based classification of abnormal gait promises a solution for remote screening and diagnosis of neurological diseases. © 2021 Technical Committee on Control Theory, Chinese Association of Automation.

20.
British Journal of Surgery ; 108(SUPPL 5):V10, 2021.
Article in English | EMBASE | ID: covidwho-1408566

ABSTRACT

Introduction: The number of patients on intensive care units (ICU) increased manifold during the initial COVID-19 surge and medical staff were relocated to help compensate. The need for central venous catheters (CVCs) increased accordingly and comprised a significant workload under challenging circumstances. Several models were proposed to manage the lines. We assigned a vascular team of vascular surgeons and interventional radiologists for CVCs in ICU. We report on the workload outcomes and lessons learned Method: 50 consecutive ventilated COVID-19 patients in ICU (median age 63 years, 80% male) who had a CVC inserted by the vascular team from March to May 2020 were assessed. Median follow up was 18 days (range 14- 29 days) after ICU admission Result: 166 CVCs (80 VasCaths) were inserted. Femoral access was preferred Each patient required a median of 3 lines (IQR 2-4). CVCs were exchanged after median 7 days (IQR 4-9) for thrombosis (35%), infection (24%) or prophylactically (41%). Our learning curve included the establishment of an online referral pathway, CVC teams of two operators extended disposable CVC kits and ICU based ultrasound scanners Additional staffing and retraining were avoided. There were no technical complications Conclusion: Ventilated COVID-19 patients require multiple CVCs which is a challenging workload during a pandemic. Vascular surgeons and interventional radiologists with endovascular skills are well positioned to perform central venous cannulation to alleviate the burden on critical care teams. Our lessons learned can help to provide a safe and efficient model amidst the ongoing national outbreaks Take-home Message: With the postponement of many elective vascular procedures during the pandemic crisis, the involvement of vascular surgeons in a dedicated Lines team is an important way that they can contribute given their proficiency with wires and cannulation equipment as well as familiarity in femoral triangle and jugular anatomy The retraining of staff and additional on-call rotas can then be avoided .

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