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1.
12th Nordic Conference on Human-Computer Interaction: Participative Computing for Sustainable Futures, NordiCHI 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2108348

ABSTRACT

The workplace represents an important venue to influence eating behaviors. Due to the COVID-19 pandemic, the workplace has rapidly shifted from office to home (WfH). Here, two mobile self-reported dietary assessment methods were compared (4-hour Recall vs. Food Record) to monitor food intake for WfH. A within-subject study involving 30 participants was conducted over a 4-week period. We assessed the workload and acceptance of these two methods using questionnaires and follow-up interviews. Results of questionnaires revealed that most participants presented high acceptance of Food Record related to a more flexible completion time and lower mental burden. Based on interviews, we presented a set of design insights to promote WfH healthy eating, including integrating reminders into daily routines, simplifying the tracking process, and adding gaming elements. Then, we discussed design implications, including integrating digital tools into daily routines and designing simple and playful using processes, to promote healthy eating during the WfH period. © 2022 Owner/Author.

2.
Journal of Xi'an Jiaotong University (Medical Sciences) ; 43(5):653-657, 2022.
Article in Chinese | EMBASE | ID: covidwho-2010480

ABSTRACT

Objective: To establish a three-in-one smart hospital characterized with smart service, smart medical care and smart management to improve the hospital's ability to prevent and control and respond to coronavirus disease 2019 (COVID-19). Methods: Combined with the core needs of normalized prevention and control of the epidemic, the overall structure of the smart hospital was established. Emerging technologies were used as the means to strengthen system integration and security as the basis, and the interconnection and electronic medical record project were the starting point to carry out 31 projects of information system construction and integration. Results: Through the construction of smart service, a service mechanism that integrates online and offline services and covers the whole process of diagnosis and treatment has been realized. Through the construction of integrated physician workstations, smart nursing, medical quality control and other platforms with electronic medical records as the core, the clinical diagnosis and treatment capabilities have been improved. Through the improvement and optimization of the information system, the capacity of the hospital's emergency management of the epidemic has been effectively improved. Conclusion: The construction of smart hospitals can provide a solid guarantee for the prevention and control of COVID-19, but it also faces many problems. The construction of smart service needs the strong support of the competent government departments, the integration of smart medical care needs to be further strengthened, and smart management needs to be further strengthened.

3.
Gut ; 71:A62-A63, 2022.
Article in English | EMBASE | ID: covidwho-2005353

ABSTRACT

Introduction Treatment of perianal fistulizing Crohn's disease (PFCD) is a major unmet need. Filgotinib (FIL) is a oncedaily, oral, preferential JAK1 inhibitor in development as a CD treatment. The efficacy and safety of FIL for the treatment of PFCD was evaluated in the phase 2, double-blind, randomized, placebo (PBO)-controlled DIVERGENCE2 study (NCT03077412). Methods Patients 18-75years with PFCD (documented diagnosis of CD for >3months and 1-3 external openings [EOs] with drainage [spontaneous or on compression] for ≥4weeks before screening) previously treated with antibiotics, immunomodulators and/or TNFi were randomized (2:2:1) to receive FIL 200mg, 100mg or PBO once daily for <24weeks. Active luminal CD was permitted providing that CDAI score was ≤300 at screening. The primary endpoint was combined fistula response (reduction of ≥1 from baseline in the number of draining EOs determined by investigator assessment and no fluid collections 1cm on centrally read pelvic MRI) at Week24. Combined fistula remission (closure of all draining EOs present at baseline and no fluid collections >1cm) at Week24 was a key secondary endpoint. The study was not powered for statistical comparisons and was prematurely terminated owing to low recruitment rates during the COVID-19 pandemic. Results Baseline characteristics were broadly similar across treatment groups. Overall, 91% (52/57) patients had complex perianal fistulae;TNFi treatment had previously failed in 65% (37/57) patients. A lower proportion of patients randomized to FIL200mg than PBO discontinued the study. The proportion of patients who achieved a combined fistula response at Week24 was numerically higher in the FIL200mg than the PBO group (Figure 1a), with similar results observed for combined fistula remission (Figure 1b). Treatment-emergent severe AEs were highest in the FIL200mg group. AE rates were otherwise similar across groups. Conclusion In this phase 2 study, numerically higher fistula response and remission rates were observed after 24weeks of treatment with FIL200mg vs PBO in patients with active PFCD and a history of multiple medical treatment failures. FIL was well tolerated. Further studies of FIL for PFCD treatment are warranted.

4.
Adverse Drug Reactions Journal ; 24(4):169-174, 2022.
Article in Chinese | Scopus | ID: covidwho-1875842

ABSTRACT

Objective To explore the occurrence and influencing factors of serum uric acid elevation in patients with coronavirus disease 2019 (COVID⁃19) treated with favipiravir. Methods Medical records of patients with COVID⁃19 who were hospitalized in Beijing Ditan Hospital between June 1, 2020 and June 30, 2021 and treated with the 5- or 10-day regimen of favipiravir were collected and retrospectively analyzed. After favipiravir withdrawal, if the elevation in serum uric acid was ≥30% of baseline level, it was defined as serum uric acid elevation. Then patients were divided into serum uric acid elevation group and non-serum uric acid elevation group. The clinical characteristics such as gender, age, body mass index, comorbidities, smoking and drinking behavior, COVID⁃19 grade, favipiravir regimen, and serum uric acid level and renal function before treatment in patients between the 2 groups were compared. Influencing factors of favipiravir⁃associated serum uric acid elevation was analyzed using multivariate logistic regression method. Results A total of 179 patients were included in the analysis, including 104 (58.1%) males and 75 (41.9%) females, aged from 19 to 70 years with a median age of 43 years. The level of serum uric acid in 179 patients after favipiravir treatment was significantly higher than before [(451±119) μmol/L vs. (332±94) μmol/L, P<0.001]. The change rate of serum uric acid from baseline level ranged from -57.1% to 157.8% with the median of 38.6%. The elevation in serum uric acid of ≥ 30% of baseline level occurred in 108 (60.3%) patients. The incidences of serum uric acid elevation in patients treated with 5-day and 10-day regi⁃ mens of favipiravir were 46.8% (36/77) and 70.6% (72/102), respectively, and the difference between them was significant (P=0.001). Multivariate logistic regression analysis showed that body mass index 24.0 to <28.0 kg/m2 (OR=3.109, 95%CI: 1.209-7.994, P=0.019) and 10-day regimen of favipiravir (OR=3.017, 95%CI: 1.526-5.964, P=0.001) were independent risk factors for favipiravir⁃associated serum uric acid elevation. Conclusions More than half of COVID⁃19 patients treated with favipiravir can develop serum uric acid elevation. Overweight and 10-day regimen of favipiravir are independent risk factors for serum uric acid elevation in patients. © 2022 Adverse Drug Reactions Journal.

5.
Emerging Markets Finance and Trade ; 2022.
Article in English | Scopus | ID: covidwho-1860556

ABSTRACT

This paper investigates the wavelet-based quantile dependence between Economic Policy Uncertainty (EPU) and green bond markets over 2014–2021. We first determine how the connectivity between EPU and green bonds differs across different investment horizons by decomposing EPU and green bond series into various frequency bands. Next, we provide a quantile-based framework to characterize the reliance between EPU and green bond markets across various market circumstances. Our findings show that the Granger causality from EPU to the green bond market is non-linear and varies across time scales. Our results benefit policymakers with a policy design to mitigate systematic volatility caused by external shocks in the green bond markets. © 2022 Taylor & Francis Group, LLC.

6.
International Review of Financial Analysis ; 81:13, 2022.
Article in English | Web of Science | ID: covidwho-1851333

ABSTRACT

This study compares the dynamic spillover effects of gold and Bitcoin prices on the oil and stock market during the COVID-19 pandemic via time-varying parameter vector autoregression. Both time-varying and time-point results indicate that gold is a safe haven for oil and stock markets during the COVID-19 pandemic. However, unlike gold, Bitcoin's response is the opposite, rejecting the safe haven property. Further analysis shows that the safe-haven effects of gold on the stock market become stronger when the pandemic critically spreads.

7.
Progress in Biochemistry and Biophysics ; 49(3):540-552, 2022.
Article in Chinese | Web of Science | ID: covidwho-1791632

ABSTRACT

The coronaviruses (CoVs), which are a family of positive-strand RNA viruses, infect the mammals and birds. Seven CoVs are responsible for human-to-human transmission, especially the SARS-CoV-2, thereby posing a daunting challenge to global public health security. As the most common modification in viral glycoproteins, glycosylation plays the crucial role in host recognition, immunity avoidance, virus replication, assembly and transmission. In this review, we summarized and discussed the latest studies about glycosylation in coronaviridae members. Focused on the spike protein, nearly one hundred of N/O-glycosyltion sites have been reported. The N-glycans from spike protein are dominated by the high-mannose and complex-type, while the O-glycosylation is rather complicated. Significantly, it is known that the viral glycosylation depend on host cells, thus the glycan pattern of the produced recombinant viral glycoproteins might be different from that of native viral proteins, which represent a crucial determinant for vaccine design. The latest results based on bioinformatics, biochip, mass spectrography and genetic technology facilitate the overall perspective for glycosylation researching in CoVs. By summarizing the distribution of glycosylation sites, the structure of glycans, the biological functions and the research technologies, this review will help promote diagnosis, treatment and vaccine development related to coronaviruses.

8.
Disease Surveillance ; 37(1):7-11, 2022.
Article in Chinese | CAB Abstracts | ID: covidwho-1789480

ABSTRACT

Objective: To assess the risk of public health emergencies, both the indigenous ones and the imported ones, which might occur in the mainland of China in January 2022.

9.
Atmospheric Environment: X ; : 100168, 2022.
Article in English | ScienceDirect | ID: covidwho-1777918

ABSTRACT

In recent years, the United States power sector emissions of CO2 and NOx have decreased due to declining coal and increasing natural gas and renewables in the fuel-mix. In April 2020, the COVID-19 social restrictions in the United States led to a decline in electricity demand from the commercial and industrial sectors. In this study, we estimate the changes in the emissions of CO2 and NOx from the U.S. power sector due to three factors: 1) weather, 2) the fuel-mix change in the past five years, and 3) the COVID-19 social restrictions. We use a multivariate adaptive regression splines (MARS) model to separate the impacts of outdoor temperature and type-of-day from the COVID-19 on power generation, and the daily operation status of 3013 power units to account for the fuel-mix change. We find that electricity demand changes due to COVID occurred mostly from March to June 2020, with electricity demand generally returning to 2015–2019 levels starting in July 2020. We find the U.S. power sector CO2 emissions, reported by EPA, dropped by 29.8 MTCO2 (−26%) in April 2020, relative to the average April emissions between 2015 and 2019. Of that reduction, we attribute declines of 18.3 ± 4.0 MTCO2 (−18 ± 4%) to the COVID-19 lockdowns, declines of 13.7 ± 4.2 MTCO2 (−12 ± 4%) to a fuel-mix change, and increases of 2.3 ± 1.1 MTCO2 (+2 ± 1%) due to weather variability compared to the five prior years. For the same month, the power sector NOx emissions dropped by 27.6 thousand metric tons (−42%) in April 2020, relative to the past five-year monthly average. Of that reduction, we attribute declines of 10.5 ± 2.4 thousand metric tons (−22 ± 5%) to the COVID-19 lockdowns, declines of 18.5 ± 2.5 thousand metric tons (−28 ± 4%) to a fuel-mix change, and increases of 1.4 ± 0.6 thousand metric tons (+2 ± 1%) due to weather variability. This result highlights the importance of accounting for weather and fuel-mix changes when estimating the impact of COVID-19 on the power sector emissions.

10.
Sustainability ; 14(5):14, 2022.
Article in English | Web of Science | ID: covidwho-1760841

ABSTRACT

With the impact of COVID-19 on education, online education is booming, enabling learners to access various courses. However, due to the overload of courses and redundant information, it is challenging for users to quickly locate courses they are interested in when faced with a massive number of courses. To solve this problem, we propose a deep course recommendation model with multimodal feature extraction based on the Long- and Short-Term Memory network (LSTM) and Attention mechanism. The model uses course video, audio, and title and introduction for multimodal fusion. To build a complete learner portrait, user demographic information, explicit and implicit feedback data were added. We conducted extensive and exhaustive experiments based on real datasets, and the results show that the AUC obtained a score of 79.89%, which is significantly higher than similar algorithms and can provide users with more accurate recommendation results in course recommendation scenarios.

11.
Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi ; 57(3): 282-288, 2022 Mar 07.
Article in Chinese | MEDLINE | ID: covidwho-1760874

ABSTRACT

Objective: To analyze the correlation between loss of smell/taste and the number of real confirmed cases of coronavirus disease 2019 (COVID-19) worldwide based on Google Trends data, and to explore the guiding role of smell/taste loss for the COVID-19 prevention and control. Methods: "Loss of smell" and "loss of taste" related keywords were searched in the Google Trends platform, the data were obtained from Jan. 1 2019 to Jul. 11 2021. The daily and newly confirmed COVID-19 case number were collected from World Health Organization (WHO) since Dec. 30 2019. All data were statistically analyzed by SPSS 23.0 software. The correlation was finally tested by Spearman correlation analysis. Results: A total of data from 80 weeks were collected. The retrospective analysis was performed on the new trend of COVID-19 confirmed cases in a total of 186 292 441 cases worldwide. Since the epidemic of COVID-19 was recorded on the WHO website, the relative searches related to loss of smell/taste in the Google Trends platform had been increasing globally. The global relative search volumes of "loss of smell" and "loss of taste" on Google Trends was 10.23±2.58 and 16.33±2.47 before the record of epidemic while 80.25±39.81 and 80.45±40.04 after (t value was 8.67, 14.43, respectively, both P<0.001). In the United States and India, the relative searches for "loss of smell" and "loss of taste" after the record of epidemic were also much higher than before (all P<0.001). The correlation coefficients between the trend of weekly new COVID-19 cases and the Google Trends of "loss of smell" in the global, United States, and India was 0.53, 0.76, and 0.82 respectively (all P<0.001), the correlation coefficients with Google Trends of "loss of taste" was 0.54, 0.78, and 0.82 respectively (all P<0.001). The lowest and highest point of loss of smell/taste search curves of Google Trends in different periods appeared 7 to 14 days earlier than that of the weekly newly COVID-19 confirmed cases curves, respectively. Conclusions: There is a significant positive correlation between the number of newly confirmed cases of COVID-19 worldwide and the amount of keywords, such as "loss of smell" and "loss of taste", retrieved in Google Trends. The trend of big data based on Google Trends might predict the outbreak trend of COVID-19 in advance.


Subject(s)
Ageusia , COVID-19 , Big Data , Disease Outbreaks , Humans , Internet , Retrospective Studies , Smell , United States
12.
Journal of Crohn's and Colitis ; 16:i019-i021, 2022.
Article in English | EMBASE | ID: covidwho-1722291

ABSTRACT

Background: Treatment of perianal fistulizing Crohn's disease (PFCD) is a major unmet need. Filgotinib (FIL) is a once-daily, oral, preferential Janus kinase 1 inhibitor in development for the treatment of inflammatory bowel diseases. The efficacy and safety of FIL for the treatment of PFCD was evaluated in the phase 2, double-blind, randomized, placebo (PBO)-controlled DIVERGENCE 2 study (NCT03077412). Methods: Patients (18-75 years old) with PFCD (documented diagnosis of CD for at least 3 months and 1-3 external openings [EOs] with drainage [spontaneous or on compression] for ≥ 4 weeks before screening) previously treated with antibiotics, immunomodulators and/or tumour necrosis factor inhibitors (TNFi) were randomized (2:2:1) to receive FIL 200 mg, FIL 100 mg or PBO once daily for up to 24 weeks. Active luminal CD was permitted providing that the Crohn's Disease Activity Index score was ≤ 300 at screening. The primary endpoint was combined fistula response (reduction of ≥ 1 from baseline in the number of draining EOs determined by investigator assessment and no fluid collections > 1 cm on centrally read pelvic magnetic resonance imaging [MRI]) at Week 24. Combined fistula remission (closure of all draining EOs present at baseline and no fluid collections > 1 cm) at Week 24 was a key secondary endpoint. The study was not powered for statistical comparisons and was prematurely terminated owing to low recruitment rates during the COVID-19 pandemic. Results: Baseline characteristics were broadly similar across the treatment groups (Table 1). Overall, 91.2% of patients had complex perianal fistulae and TNFi treatment had previously failed in 64.9% of patients. A lower proportion of patients randomized to receive FIL 200 mg discontinued the study compared with those who received PBO (Table 2). The proportion of patients who achieved a combined fistula response at Week 24 was numerically higher in the FIL 200 mg group (47.1%;90% confidence interval [CI]: 26.0-68.9) than in the PBO group (25.0%;90% CI: 7.2-52.7) (Figure 1), with similar results observed for combined fistula remission (FIL 200 mg [47.1%;CI: 26.0-68.9] versus PBO [16.7%;CI: 3.0-43.8]) (Figure 2). Treatment-emergent severe adverse events were highest in the FIL 200 mg group (Table 2). Adverse event rates were otherwise similar across treatment groups. Conclusion: In this phase 2 study, numerically higher fistula response and remission rates were observed after 24 weeks of treatment with FIL 200 mg versus PBO in patients with active PFCD and a history of multiple medical treatment failures. FIL was well tolerated overall. Further studies of FIL for the treatment of PFCD are warranted.

13.
Embase;
Preprint in English | EMBASE | ID: ppcovidwho-326857

ABSTRACT

Human genetic variants can influence the severity of infection with SARS-COV-2. Several genomewide association studies (GWAS) have been conducted to identify human risk loci that may be involved with COVID-19 severity. However, candidate genes were investigated in the genomic proximity of each locus without considering their functional cellular contexts. Here, we compiled regulatory networks of 77 human contexts to interpret these risk loci by revealing their relevant contexts and associated transcript factors (TF), regulatory elements (REs), and target genes (TGs). 21 human contexts were identified to be associated with COVID-19 severity and grouped into two categories: immune cells and epithelium cells. We further investigated the risk loci in regulatory network of immune cells, epithelium cells and their crosstalk. Two genomic clusters, chemokine receptors cluster and OAS cluster showed the strongest association with COVID-19 severity in the context specific regulatory networks.

14.
8th IEEE International Conference on Behavioural and Social Computing, BESC 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1685059

ABSTRACT

The aim of this paper was to further examine the parasite disease ecology of collectivism from longitudinal perspective. We used articles published in People's Dally of China between 2019 and 2020l and divided them into three stages, Le., before, during and after SARS-CoV-2..It was found that callecttvtsm was higher and Indtvtduallsm was lower during SARS-CoV-2 stage compared to before and during SARS-CoV-2 stages. These findings deepen the parasite-stress theory of calleetivism from longitudinal perspective. The theoretical contribution toward ecological antecedents of collectivism and computational social psychology were also discussed. © 2021 IEEE

15.
Chemical Senses ; 46, 2021.
Article in English | EMBASE | ID: covidwho-1665915

ABSTRACT

Objectives: In this study, we propose to mine the GCCR database to capture the features of the prior diseases on the change of taste and smell in the COVID- 19 patients. Methods: The study information and detailed research plan are available on OSF individual homepage (https:// osf.io/ax3p5/). We used mixed linear regression models to test our hypothesis and the p-value of interaction will be concerned. Results: Overall, we got the final sample (n=26468), the final samples included 12438 participants, who were diagnosed with COVID-19. In the 12438 participants, the prior conditions were following: 1985 patients reported high blood pressure, 2046 patients reported obesity, 1368 patients reported they had lung disease (asthma/COPD), 1104 patients reported they had chronic sinus problems, 3562 patients reported they had seasonal allergies/hay fever. Multivariate regression analysis found that for patients with chronic sinusitis with COVID-19, the degree of smell and taste disorder is higher than that of patients with non-chronic sinusitis. Chronic sinusitis and COVID- 19 have an interactive effect on smell disorder (P<0.05), the status of state and other prior diseases will overestimate. The impact of COVID-19 on the degree of smell/taste loss, the recovery degree of smell/taste of patients with seasonal allergies/hay fever, were statistically significant in the three calibration models (P<0.05). Conclusion: COVID-19 participants who had more or more than one prior disease, those participants have worse smell/taste loss than those participants who had not the prior disease. This study may help us understand the possible involvement of comorbidities in COVID-19 patients who lose smell or taste and raise the concern of chemosensory dysfunction and commodity with COVID-19.

17.
6th International Conference on Distance Education and Learning, ICDEL 2021 ; : 169-172, 2021.
Article in English | Scopus | ID: covidwho-1566385

ABSTRACT

The background of "improving productivity for remote workers and students"is based on a worldwide survey conducted by AACSB. 79% of schools have suspended face-to-face activities (that is, for all students) and converted all face-to-face courses to online or other platforms. Only 21% of schools only convert courses involving students affected by travel restrictions into online education. In the face of COVID-19's failure to start school normally, the school's evolving online teaching and the decline in learning efficiency, the author decided to provide a solution for students who want to make breakthroughs in self-study, as well as teachers and remote workers who need feedback in online live broadcast Solution-Develop a plug-in that can help students and teachers improve the efficiency of learning online courses. The currently selected basic functions are human face concentration recognition and monitoring, scientific learning models based on multiple learning methods such as the Pomodoro Technique and Ebbinghaus curve, web page locking, personalized anthropomorphic AI companion reading growth reward mechanism, real-time note centre and so on. © 2021 ACM.

18.
Resources Policy ; 75, 2022.
Article in English | Scopus | ID: covidwho-1521497

ABSTRACT

In recent years, the escalating economic policy uncertainty (EPU) spurs a growing body of research on the interactions between EPU and financial markets. However, the spillovers from EPU to the carbon market have been rarely investigated. This study aims to examine the spillover effect of EPU on the carbon futures market under different market conditions. For this purpose, the quantile Granger test method and the quantile regression method are simultaneously employed. The daily data of carbon futures price return and the EPU index covers the period of January 22, 2013 to July 2, 2021. Considering any possible structural changes caused by the COVID-19 outbreak, we further divide the entire sample period into two subperiods, period I spanning from January 22, 2013 to December 31, 2019 and period II from December 31, 2019 to July 2, 2021. In addition, based on the wavelet decomposition approach, we also examine the evolution of the spillover from EPU to carbon futures price return in different time and frequency domains. The results indicate that EPU shocks cannot predict the volatility of daily returns of carbon futures. However, in the long term, EPU has a significantly negative impact on carbon futures price return. The causality is asymmetric across the whole distribution of carbon futures price return. Furthermore, the COVID-19 pandemic affects the spillover and connectedness between EPU and carbon futures price return by influencing their short- and medium-term performances. Finally, several policy implications are highlighted for policymakers and investors. © 2021 Elsevier Ltd

19.
Gut ; 70(SUPPL 2):A13, 2021.
Article in English | EMBASE | ID: covidwho-1467716

ABSTRACT

Background SARS-CoV-2 has caused the COVID-19 pandemic, 14-53% with COVID-19 developed hepatic dysfunction. More data is required to ascertain the pattern of liver injury in patients with COVID-19. Here we report the use of human liver and biliary organoids as a tool to investigate the SARSCoV- 2 infection and virus-induced tissue damage ex vivo at the cellular and molecular levels. Methods Immunofluorescence staining and RT-qPCR was performed to examine the susceptibility and replication of human liver and biliary organoids to SARS-CoV-2. Transmission electron microscopy was performed to investigate the ultrastructure of SARS-CoV-2 infected biliary organoid. The mRNA sequence analysis was performed to determine gene expression changes induced by SARS-CoV-2-infection of biliary organoids. Results Immunofluorescence staining showed that SARS-CoV-2 spike (S) glycoprotein protein was readily detected in patchy areas of the human liver and biliary organoids, whereas no signal was found in uninfected control. RT-qPCR showed that the SARS-CoV-2 genomic RNAs revealed a dramatic increase of viral load in organoids at 24 h post-infection (MOI=1) and it can remain stable 96 hours in the liver organoids and 48 hours in biliary organoids. Unsupervised transmission electron microscopy (TEM) showed that viral particles occurred in the lumen of the organoid, at the basolateral and apical side of the organoid, even in membrane-bound vesicles. Additionally, RNA-seq revealed early cell response to virus infection, including the well-known upregulation of chemokines and inflammatory cytokines. Conclusions Therefore, the hepatocytes and bile duct cells have effectively been infected by COVID-19, and human liver and biliary organoids can serve as a pathophysiological model to investigate the underlying mechanism of SARS-CoV-2 infection.

20.
O'Toole, A.; Hill, V.; Pybus, O. G.; Watts, A.; Bogoch, II, Khan, K.; Messina, J. P.; consortium, Covid- Genomics UK, Network for Genomic Surveillance in South, Africa, Brazil, U. K. Cadde Genomic Network, Tegally, H.; Lessells, R. R.; Giandhari, J.; Pillay, S.; Tumedi, K. A.; Nyepetsi, G.; Kebabonye, M.; Matsheka, M.; Mine, M.; Tokajian, S.; Hassan, H.; Salloum, T.; Merhi, G.; Koweyes, J.; Geoghegan, J. L.; de Ligt, J.; Ren, X.; Storey, M.; Freed, N. E.; Pattabiraman, C.; Prasad, P.; Desai, A. S.; Vasanthapuram, R.; Schulz, T. F.; Steinbruck, L.; Stadler, T.; Swiss Viollier Sequencing, Consortium, Parisi, A.; Bianco, A.; Garcia de Viedma, D.; Buenestado-Serrano, S.; Borges, V.; Isidro, J.; Duarte, S.; Gomes, J. P.; Zuckerman, N. S.; Mandelboim, M.; Mor, O.; Seemann, T.; Arnott, A.; Draper, J.; Gall, M.; Rawlinson, W.; Deveson, I.; Schlebusch, S.; McMahon, J.; Leong, L.; Lim, C. K.; Chironna, M.; Loconsole, D.; Bal, A.; Josset, L.; Holmes, E.; St George, K.; Lasek-Nesselquist, E.; Sikkema, R. S.; Oude Munnink, B.; Koopmans, M.; Brytting, M.; Sudha Rani, V.; Pavani, S.; Smura, T.; Heim, A.; Kurkela, S.; Umair, M.; Salman, M.; Bartolini, B.; Rueca, M.; Drosten, C.; Wolff, T.; Silander, O.; Eggink, D.; Reusken, C.; Vennema, H.; Park, A.; Carrington, C.; Sahadeo, N.; Carr, M.; Gonzalez, G.; Diego, Search Alliance San, National Virus Reference, Laboratory, Seq, Covid Spain, Danish Covid-19 Genome, Consortium, Communicable Diseases Genomic, Network, Dutch National, Sars-CoV-surveillance program, Division of Emerging Infectious, Diseases, de Oliveira, T.; Faria, N.; Rambaut, A.; Kraemer, M. U. G..
Wellcome Open Research ; 6:121, 2021.
Article in English | MEDLINE | ID: covidwho-1450989

ABSTRACT

Late in 2020, two genetically-distinct clusters of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) with mutations of biological concern were reported, one in the United Kingdom and one in South Africa. Using a combination of data from routine surveillance, genomic sequencing and international travel we track the international dispersal of lineages B.1.1.7 and B.1.351 (variant 501Y-V2). We account for potential biases in genomic surveillance efforts by including passenger volumes from location of where the lineage was first reported, London and South Africa respectively. Using the software tool grinch (global report investigating novel coronavirus haplotypes), we track the international spread of lineages of concern with automated daily reports, Further, we have built a custom tracking website (cov-lineages.org/global_report.html) which hosts this daily report and will continue to include novel SARS-CoV-2 lineages of concern as they are detected.

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