Cited by 1,611SARS-CoV-2 and COVID-19 ResearchCOVID-19 epidemiological studiesSARS-CoV-2 detection and testing

The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.

Assessing transmissibility of SARS-CoV-2 lineage B.1.1.7 in England

Open access

The COVID-19 Genomics UK (COG-UK) consortium, Volz, Erik, Mishra, Swapnil, Chand, Meera, Barrett, Jeffrey C., Johnson, Robert, Geidelberg, Lily, Hinsley, Wes R., Laydon, Daniel J., Dabrera, Gavin, O’Toole, Áine, Amato, Robert, Ragonnet-Cronin, Manon, Harrison, Ian, Jackson, Ben, Ariani, Cristina V., Boyd, Olivia, Loman, Nicholas J., McCrone, John T., Gonçalves, Sónia, Jorgensen, David, Myers, Richard, Hill, Verity, Jackson, David K., Gaythorpe, Katy, Groves, Natalie, Sillitoe, John, Kwiatkowski, Dominic P., Flaxman, Seth, Ratmann, Oliver, Bhatt, Samir, Hopkins, Susan, Gandy, Axel, Rambaut, Andrew, Ferguson, Neil M.·2021·Nature

DOI 10.1038/s41586-021-03470-x

Published version of a preprint

Open this paper in CoChat — free account Open PDF

Abstract

The SARS-CoV-2 lineage B.1.1.7, designated variant of concern (VOC) 202012/01 by Public Health England 1, was first identified in the UK in late summer to early autumn 2020 2. Whole-genome SARS-CoV-2 sequence data collected from community-based diagnostic testing for COVID-19 show an extremely rapid expansion of the B.1.1.7 lineage during autumn 2020, suggesting that it has a selective advantage. Here we show that changes in VOC frequency inferred from genetic data correspond closely to changes inferred by S gene target failures (SGTF) in community-based diagnostic PCR testing. Analysis of trends in SGTF and non-SGTF case numbers in local areas across England shows that B.1.1.7 has higher transmissibility than non-VOC lineages, even if it has a different latent period or generation time. The SGTF data indicate a transient shift in the age composition of reported cases, with cases of B.1.1.7 including a larger share of under 20-year-olds than non-VOC cases. We estimated time-varying reproduction numbers for B.1.1.7 and co-circulating lineages using SGTF and genomic data. The best-supported models did not indicate a substantial difference in VOC transmissibility among different age groups, but all analyses agreed that B.1.1.7 has a substantial transmission advantage over other lineages, with a 50% to 100% higher reproduction number.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1038/s41586-021-03470-x

Cites

38 of 38 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era
Minh, B. Q., Schmidt, H. A., Chernomor, O., Schrempf, D., Woodhams, M. D., von Haeseler, A., & Lanfear, R. (2020) · Molecular Biology and Evolution · doi:10.1093/molbev/msaa015 · Cited by 16,873
Generalized Additive Models
Hastie, T., & Tibshirani, R. (1986) · Statistical Science · doi:10.1214/ss/1177013604 · Cited by 12,575
Posterior summarization in Bayesian phylogenetics using tracer 1.7
Rambaut, A., Drummond, A. J., Xie, D., Baele, G., & Suchard, M. A. (2018) · Systematic Biology · doi:10.1093/sysbio/syy032 · Cited by 11,159
Self-citation
Bayesian phylogenetic and phylodynamic data integration using BEAST 1.10
Suchard, M. A., Lemey, P., Baele, G., Ayres, D. L., Drummond, A. J., & Rambaut, A. (2018) · Virus Evolution · doi:10.1093/ve/vey016 · Cited by 3,749
Self-citation
Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe
Flaxman, S. R., Mishra, S., Gandy, A., Unwin, H. J. T., Mellan, T. A., Coupland, H., Whittaker, C., Zhu, H., Berah, T., Eaton, J. W., et al. (2020) · Nature · doi:10.1038/s41586-020-2405-7 · Cited by 3,398
Self-citation
Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England
Davies, N. G., Abbott, S., Barnard, R. C., Jarvis, C. I., Kucharski, A. J., Munday, J. D., Pearson, C. A. B., Russell, T. W., Tully, D. C., Washburne, A. D., et al. (2021) · Science · doi:10.1126/science.abg3055 · Cited by 2,581
Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England
Davies, N. G., Abbott, S., Barnard, R. C., Jarvis, C. I., Kucharski, A. J., Munday, J. D., Pearson, C. A. B., Russell, T. W., Tully, D. C., Washburne, A. D., et al. (2020) · doi:10.1101/2020.12.24.20248822 · Cited by 2,557
Detection of a SARS-CoV-2 variant of concern in South Africa
Tegally, H., Wilkinson, E., Giovanetti, M., Iranzadeh, A., Fonseca, V., Giandhari, J., Doolabh, D., Pillay, S., San, E. J., Msomi, N., et al. (2021) · Nature · doi:10.1038/s41586-021-03402-9 · Cited by 2,510
Epidemiology and transmission of COVID-19 in 391 cases and 1286 of their close contacts in Shenzhen, China: a retrospective cohort study
Bi, Q., Wu, Y., Mei, S., Ye, C., Zou, X., Zhang, Z., Liu, X., Wei, L., Truelove, S., Zhang, T., et al. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30287-5 · Cited by 1,960

Show all 32 references

Sorted by citations

Items 401–500 of 1,003

Impact of January 2021 curfew measures on SARS-CoV-2 B.1.1.7 circulation in France
Domenico, L. D., Sabbatini, C. E., Pullano, G., Lévy-Bruhl, D., & Colizza, V. (2021) · Eurosurveillance · doi:10.2807/1560-7917.es.2021.26.15.2100272 · Cited by 38
Subtle differences in the pathogenicity of SARS-CoV-2 variants of concern B.1.1.7 and B.1.351 in rhesus macaques
Munster, V. J., Flagg, M., Singh, M., Yinda, C. K., Williamson, B. N., Feldmann, F., Pérez-Pérez, L., Schulz, J. E., Brumbaugh, B., Holbrook, M. G., et al. (2021) · Science Advances · doi:10.1126/sciadv.abj3627 · Cited by 34
Rapid and sensitive identification of omicron by variant-specific PCR and nanopore sequencing: paradigm for diagnostics of emerging SARS-CoV-2 variants
Dächert, C., Muenchhoff, M., Graf, A., Autenrieth, H., Bender, S., Mairhofer, H., Wratil, P. R., Thieme, S., Krebs, S., Grzimek-Koschewa, N., et al. (2022) · Medical Microbiology and Immunology · doi:10.1007/s00430-022-00728-7 · Cited by 32
SARS-CoV-2 variants: Impact on biological and clinical outcome
Mahilkar, S., Agrawal, S. R., Chaudhary, S., Parikh, S., Sonkar, S. C., Verma, D. K., Chitalia, V., Mehta, D., Koner, B. C., Vijay, N., et al. (2022) · Frontiers in Medicine · doi:10.3389/fmed.2022.995960 · Cited by 36
Increased lactate dehydrogenase reflects the progression of COVID-19 pneumonia on chest computed tomography and predicts subsequent severe disease
Kojima, K., Yoon, H., Okishio, K., & Tsuyuguchi, K. (2023) · Scientific Reports · doi:10.1038/s41598-023-28201-2 · Cited by 34
COVID-19: vaccines, efficacy and effects on variants
Rudan, I., Adeloye, D., & Sheikh, A. (2022) · Current Opinion in Pulmonary Medicine · doi:10.1097/mcp.0000000000000868 · Cited by 34
Simulated Identification of Silent COVID-19 Infections Among Children and Estimated Future Infection Rates With Vaccination
Moghadas, S. M., Fitzpatrick, M. C., Shoukat, A., Zhang, K., & Galvani, A. P. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.7097 · Cited by 34
Application of reinforcement learning for effective vaccination strategies of coronavirus disease 2019 (COVID-19)
Beigi, A., Yousefpour, A., Yasami, A., Gómez-Aguilar, J. F., Bekiros, S. D., & Jahanshahi, H. (2021) · The European Physical Journal Plus · doi:10.1140/epjp/s13360-021-01620-8 · Cited by 33
Challenges and Strategies for Pakistan in the Third Wave of COVID-19: A Mini Review
Kamran, K., & Ali, A. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.690820 · Cited by 33
What we can learn from the dynamics of the 1889 ‘Russian flu’ pandemic for the future trajectory of COVID‐19
Brüssow, H. (2021) · Microbial Biotechnology · doi:10.1111/1751-7915.13916 · Cited by 32
SARS-CoV-2 lineage B.1.1.7 is associated with greater disease severity among hospitalised women but not men: multicentre cohort study
Stirrup, O., Boshier, F. A. T., Venturini, C., Guerra‐Assunção, J. A., Alcolea-Medina, A., Beckett, A. H., Charalampous, T., Filipe, A. D. S., Glaysher, S., Khan, T., et al. (2021) · BMJ Open Respiratory Research · doi:10.1136/bmjresp-2021-001029 · Cited by 32
The Variation of SARS-CoV-2 and Advanced Research on Current Vaccines
Jiang, Y., Wu, Q. Y., Song, P., & You, C. (2022) · Frontiers in Medicine · doi:10.3389/fmed.2021.806641 · Cited by 34
Co-circulation of SARS-CoV-2 Alpha and Gamma variants in Italy, February and March 2021
Stefanelli, P., Trentini, F., Dirani, G., Marziano, V., Mammone, A., Poletti, P., Grané, C. M., Manica, M., Manso, M. D., Andrianou, X. D., et al. (2022) · Eurosurveillance · doi:10.2807/1560-7917.es.2022.27.5.2100429 · Cited by 32
The Complexity of SARS-CoV-2 Infection and the COVID-19 Pandemic
Torres, M. K. D. S., Bichara, C. D. A., de Almeida, M. D. N. D. S., Vallinoto, M. C., Queiroz, M. A. F., Vallinoto, I. M. V. C., dos Santos, E. J. M., de Carvalho, C. A. M., & Vallinoto, A. C. R. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.789882 · Cited by 36
An overview of viral mutagenesis and the impact on pathogenesis of SARS-CoV-2 variants
Khan, M. Z. I., Nazli, A., Al-furas, H., Asad, M. I., Ajmal, I., Khan, D., Shah, J., Farooq, M. A., & Jiang, W. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.1034444 · Cited by 37
Mutational dynamics of SARS-CoV-2: Impact on future COVID-19 vaccine strategies
Faraji, N., Zeinali, T., Joukar, F., Aleali, M. S., Eslami, N., Shenagari, M., & Mansour‐Ghanaei, F. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e30208 · Cited by 32
Inferring effects of mutations on SARS-CoV-2 transmission from genomic surveillance data
Lee, B., Quadeer, A. A., Sohail, M. S., Finney, E., Ahmed, S. F., McKay, M. R., & Barton, J. P. (2025) · Nature Communications · doi:10.1038/s41467-024-55593-0 · Cited by 32
Passing the Test: A Model-Based Analysis of Safe School-Reopening Strategies
Bilinski, A., Salomon, J. A., Giardina, J., Ciaranello, A. L., & Fitzpatrick, M. C. (2021) · Annals of Internal Medicine · doi:10.7326/m21-0600 · Cited by 32
Monitoring the Circulation of SARS-CoV-2 Variants by Genomic Analysis of Wastewater in Marseille, South-East France
Wurtz, N., Revol, O., Jardot, P., Giraud‐Gatineau, A., Houhamdi, L., Soumagnac, C., Annessi, A., Lacoste, A., Colson, P., Aherfi, S., et al. (2021) · Pathogens · doi:10.3390/pathogens10081042 · Cited by 32
The use of nanobodies in a sensitive ELISA test for SARS-CoV-2 Spike 1 protein
Girt, G. C., Lakshminarayanan, A., Huo, J., Dormon, J., Norman, C. S., Afrough, B., Harding, A. C., James, W., Owens, R. J., & Naismith, J. H. (2021) · Royal Society Open Science · doi:10.1098/rsos.211016 · Cited by 33
COVID‐19 epidemic and mitigation policies: Positive and normative analyses in a neoclassical growth model
Gori, L., Manfredi, P., Marsiglio, S., & Sodini, M. (2021) · Journal of Public Economic Theory · doi:10.1111/jpet.12549 · Cited by 31
Efficacy of FFP3 respirators for prevention of SARS-CoV-2 infection in healthcare workers
Ferris, M., Ferris, R., Workman, C., O'Connor, E., Enoch, D., Goldesgeyme, E., Quinnell, N., Patel, P., Wright, J., Martell, G., et al. (2021) · eLife · doi:10.7554/elife.71131 · Cited by 38
SARS-CoV-2 Variants, RBD Mutations, Binding Affinity, and Antibody Escape
Yang, L., Li, J., Guo, S., Hou, C., Liao, C., Shi, L., Ma, X., Jiang, S., Zheng, B., Fang, Y., et al. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222212114 · Cited by 35
The Alpha Variant (B.1.1.7) of SARS-CoV-2 Failed to Become Dominant in Mexico
Zárate, S., Taboada, B., Muñoz‐Medina, J. E., Iša, P., Sánchez‐Flores, A., Boukadida, C., Herrera‐Estrella, A., Mojica, N. S., Rosales-Rivera, M., Gómez‐Gil, B., et al. (2022) · Microbiology Spectrum · doi:10.1128/spectrum.02240-21 · Cited by 31
Inferring the stabilization effects of SARS-CoV-2 variants on the binding with ACE2 receptor
Miotto, M., Rienzo, L. D., Gosti, G., Bo’, L., Parisi, G., Piacentini, R., Boffi, A., Ruocco, G., & Milanetti, E. (2022) · Communications Biology · doi:10.1038/s42003-021-02946-w · Cited by 32
Immunity after COVID-19 Recovery and Vaccination: Similarities and Differences
Kamińska, D., Dęborska−Materkowska, D., Kościelska−Kasprzak, K., Mazanowska, O., Remiorz, A., Poznański, P., Durlik, M., & Krajewska, M. (2022) · Vaccines · doi:10.3390/vaccines10071068 · Cited by 33
Dynamics of SARS-CoV-2 infection hospitalisation and infection fatality ratios over 23 months in England
Eales, O. D., Haw, D., Wang, H., Atchison, C. J., Ashby, D., Cooke, G., Barclay, W., Ward, H., Darzi, A. W., Donnelly, C. A., et al. (2023) · PLoS Biology · doi:10.1371/journal.pbio.3002118 · Cited by 34
An Update on Anti-COVID-19 Vaccines and the Challenges to Protect Against New SARS-CoV-2 Variants
Mambelli, F., de Araujo, A. C. V. S. C., Farias, J. P., de Andrade, K. Q., Ferreira, L. C. D. S., Minoprio, P. M. C., Leite, L. C. C., & Oliveira, S. C. (2025) · Pathogens · doi:10.3390/pathogens14010023 · Cited by 32
Humoral and Cellular Immune Responses Against Severe Acute Respiratory Syndrome Coronavirus 2 Variants and Human Coronaviruses After Single BNT162b2 Vaccination
Stankov, M. V., Cossmann, A., Bonifacius, A., Dopfer‐Jablonka, A., Ramos, G. M., Gödecke, N., Scharff, A. Z., Happle, C., Boeck, A.-L., Tran, A. T., et al. (2021) · Clinical Infectious Diseases · doi:10.1093/cid/ciab555 · Cited by 31
Trajectory of Growth of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Variants in Houston, Texas, January through May 2021, Based on 12,476 Genome Sequences
Olsen, R. J., Christensen, P. A., Long, S. W., Subedi, S., Hodjat, P., Olson, R., Nguyen, M., Davis, J. J., Yerramilli, P., Saavedra, M. O., et al. (2021) · American Journal Of Pathology · doi:10.1016/j.ajpath.2021.07.002 · Cited by 30
Infectivity Upsurge by COVID-19 Viral Variants in Japan: Evidence from Deep Learning Modeling
Rashed, E. A., & Hirata, A. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18157799 · Cited by 31
Development of the RealTime SARS-CoV-2 quantitative Laboratory Developed Test and correlation with viral culture as a measure of infectivity
Berg, M. G., Zhen, W., Lucic, D. X., Degli-Angeli, E., Anderson, M. S., Forberg, K., Olivo, A., Sheikh, F., Toolsie, D., Greninger, A. L., et al. (2021) · Journal of Clinical Virology · doi:10.1016/j.jcv.2021.104945 · Cited by 29
Rapid detection of multiple SARS-CoV-2 variants of concern by PAM-targeting mutations
Ning, B., Youngquist, B. M., Li, D. D., Lyon, C. J., Zelazny, A. M., Maness, N. J., Tian, D., & Hu, Y. (2022) · Cell Reports Methods · doi:10.1016/j.crmeth.2022.100173 · Cited by 29
Estimating the strength of selection for new SARS-CoV-2 variants
van Dorp, C. H., Goldberg, E. E., Hengartner, N., Ke, R., & Romero-Severson, E. O. (2021) · Nature Communications · doi:10.1038/s41467-021-27369-3 · Cited by 30
Ecological and evolutionary dynamics of multi-strain RNA viruses
Makau, D. N., Lycett, S., Smith, M. J., Paploski, I. A. D., Cheeran, M. C. ‐., Craft, M. E., Kao, R. R., Schroeder, D. C., Doeschl‐Wilson, A., & VanderWaal, K. L. (2022) · Nature Ecology & Evolution · doi:10.1038/s41559-022-01860-6 · Cited by 35
The Emergence and Spread of Novel SARS-CoV-2 Variants
Yi, H., Wang, J., Wang, J., Lu, Y., Zhang, Y., Peng, R., Lu, J., & Chen, Z. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.696664 · Cited by 29
Beta SARS-CoV-2 variant and BNT162b2 vaccine effectiveness in long-term care facilities in France
Lefèvre, B., Tondeur, L., Madec, Y., Grant, R., Lina, B., van der Werf, S., Rabaud, C., Fontanet, A. L., & Legoff, A. (2021) · The Lancet Healthy Longevity · doi:10.1016/s2666-7568(21)00230-0 · Cited by 29
Vaccination is the most effective and best way to avoid the disease of COVID‐19
Lotfi, H., Mazar, M. G., Ei, N. M. H., Fahim, M., & Yazdi, N. S. (2023) · Immunity Inflammation and Disease · doi:10.1002/iid3.946 · Cited by 33
Role of SARS-CoV-2 mutations in the evolution of the COVID-19 pandemic
Colson, P., Chaudet, H., Delerce, J., Pontarotti, P., Levasseur, A., Fantini, J., Scola, B. L., Devaux, C. A., & Raoult, D. (2024) · Journal of Infection · doi:10.1016/j.jinf.2024.106150 · Cited by 33
Priorities for the COVID-19 pandemic at the start of 2021: statement of the Lancet COVID-19 Commission
Sachs, J. D., Abdool Karim, S., Aknin, L., Allen, J., Brosbøl, K., Cuevas Barron, G., Daszak, P., Fernanda Espinosa, M., Gaspar, V., Gaviria, A., et al. (2021) · The Lancet · doi:10.1016/s0140-6736(21)00388-3 · Cited by 30
Evaluation of a fully automated high-throughput SARS-CoV-2 multiplex qPCR assay with built-in screening functionality for del-HV69/70- and N501Y variants such as B.1.1.7
Nörz, D. S., Grunwald, M., Olearo, F., Fischer, N., Aepfelbacher, M., Pfefferle, S., & Lütgehetmann, M. (2021) · Journal of Clinical Virology · doi:10.1016/j.jcv.2021.104894 · Cited by 30
The variants question: What is the problem?
Zella, D., Giovanetti, M., Benedetti, F., Unali, F., Spoto, S., Guarino, M. P. L., Angeletti, S., & Ciccozzi, M. (2021) · Journal of Medical Virology · doi:10.1002/jmv.27196 · Cited by 29
Interface‐based design of the favipiravir‐binding site in SARS‐CoV‐2 RNA‐dependent RNA polymerase reveals mutations conferring resistance to chain termination
Padhi, A. K., Dandapat, J., Saudagar, P., Uversky, V. N., & Tripathi, T. (2021) · FEBS Letters · doi:10.1002/1873-3468.14182 · Cited by 29
Estimated Transmission Outcomes and Costs of SARS-CoV-2 Diagnostic Testing, Screening, and Surveillance Strategies Among a Simulated Population of Primary School Students
Bilinski, A., Ciaranello, A. L., Fitzpatrick, M. C., Giardina, J., Shah, M., Salomon, J. A., & Kendall, E. A. (2022) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2022.1326 · Cited by 30
Collaboration between the Fab and Fc contribute to maximal protection against SARS-CoV-2 in nonhuman primates following NVX-CoV2373 subunit vaccine with Matrix-M™ vaccinationPreprint
Gorman, M. J., Patel, N., Guebre‐Xabier, M., Zhu, A. L., Atyeo, C. G., Pullen, K. M., Loos, C., Goez-Gazi, Y., Carrion, R., Tian, J.-H., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.02.05.429759 · Cited by 29
SARS-CoV-2 multiplex RT-PCR to detect variants of concern (VOCs) in Malaysia, between January to May 2021
Fu, J. Y. L., Chong, Y. M., Sam, I., & Chan, Y. F. (2022) · Journal of Virological Methods · doi:10.1016/j.jviromet.2022.114462 · Cited by 29
Structural understanding of SARS-CoV-2 virus entry to host cells
Le, K. P. U., Kannappan, S., Kim, T., Lee, J. H., Lee, H.-R., & Kim, K. K. (2023) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2023.1288686 · Cited by 34
COVID-19 in Pakistan: A national analysis of five pandemic waves
Ahmad, T., Abdullah, M., Mueed, A., Sultan, F., Khan, A., & Khan, A. A. (2023) · PLoS ONE · doi:10.1371/journal.pone.0281326 · Cited by 29
Evolution of Antiviral Drug Resistance in SARS-CoV-2
Dinata, R., Baindara, P., & Mandal, S. M. (2025) · Viruses · doi:10.3390/v17050722 · Cited by 31
SARS-CoV-2 B.1.1.7 Infection of Syrian Hamster Does Not Cause More Severe Disease, and Naturally Acquired Immunity Confers Protection
Nuñez, I. A., Lien, C. Z., Selvaraj, P., Stauft, C. B., Liu, S., Starost, M. F., & Wang, T. T. (2021) · mSphere · doi:10.1128/msphere.00507-21 · Cited by 29
The differential importation risks of COVID-19 from inbound travellers and the feasibility of targeted travel controls: A case study in Hong Kong
Yang, B., Tsang, T. K., Wong, J. Y., He, Y., Gao, H., Ho, F. C. S., Lau, E. H. Y., Wu, P., Sullivan, S. G., & Cowling, B. J. (2021) · The Lancet Regional Health - Western Pacific · doi:10.1016/j.lanwpc.2021.100184 · Cited by 29
Rapid screening method for the detection of SARS-CoV-2 variants of concern
Ong, D. S. Y., Koeleman, J. G. M., Vaessen, N., Breijer, S., Paltansing, S., & de Man, P. (2021) · Journal of Clinical Virology · doi:10.1016/j.jcv.2021.104903 · Cited by 28
High throughput diagnostics and dynamic risk assessment of SARS-CoV-2 variants of concern
Gravagnuolo, A. M., Faqih, L., Cronshaw, C., Wynn, J., Burglin, L., Klapper, P. E., & Wigglesworth, M. J. (2021) · EBioMedicine · doi:10.1016/j.ebiom.2021.103540 · Cited by 31
A proteome-wide genetic investigation identifies several SARS-CoV-2-exploited host targets of clinical relevance
Karim, M. A., Shilts, J., Schwartzentruber, J., Hayhurst, J. D., Buniello, A., Mohammed, E. S. E., Zheng, J., Holmes, M. V., Ochoa, D., Carmona, M., et al. (2021) · eLife · doi:10.7554/elife.69719 · Cited by 28
Lectin from Triticum vulgaris (WGA) Inhibits Infection with SARS-CoV-2 and Its Variants of Concern Alpha and Beta
Auth, J., Fröba, M., Große, M., Rauch, P., Ruétalo, N., Schindler, M., Morokutti-Kurz, M., Graf, P., Dolischka, A., Prieschl‐Grassauer, E., et al. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms221910205 · Cited by 30
Biparatopic nanobodies protect mice from lethal challenge with SARS‐CoV‐2 variants of concern
Wagner, T. R., Schnepf, D., Beer, J., Klingel, K., Ruetalo, N., Kaiser, P. D., Junker, D., Sauter, M., Traenkle, B., Frecot, D. I., et al. (2021) · EMBO Reports · doi:10.15252/embr.202153865 · Cited by 27
Factors associated with vaccine intention in adults living in England who either did not want or had not yet decided to be vaccinated against COVID-19
Goffe, L., Antonopoulou, V., Meyer, C., Graham, F., Tang, M. Y., Lecouturier, J., Grimani, A., Bambra, C. L., Kelly, M. P., & Sniehotta, F. F. (2021) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2021.2002084 · Cited by 28
Evaluation of different types of face masks to limit the spread of SARS-CoV-2: a modeling study
Gurbaxani, B. M., Hill, A. N., Paul, P., Prasad, P. V., & Slayton, R. B. (2022) · Scientific Reports · doi:10.1038/s41598-022-11934-x · Cited by 29
The incubation period of the SARS-CoV-2 B1.1.7 variant is shorter than that of other strains
Homma, Y., Katsuta, T., Oka, H., Inoue, K., Toyoshima, C., Iwaki, H., Yamashita, Y., & Shinomiya, H. (2021) · Journal of Infection · doi:10.1016/j.jinf.2021.06.011 · Cited by 29
A tale of two variants: Spread of SARS-CoV-2 variants Alpha in Geneva, Switzerland, and Beta in South AfricaPreprint
Althaus, C. L., Baggio, S., Reichmuth, M. L., Hodcroft, E. B., Riou, J., Neher, R. A., Jacquérioz, F., Spechbach, H., Salamun, J., Vetter, P., et al. (2021) · medRxiv · doi:10.1101/2021.06.10.21258468 · Cited by 32
SARS-CoV-2: pathogenesis, therapeutics, variants, and vaccines
Li, X., Mi, Z., Liu, Z., & Rong, P. (2024) · Frontiers in Microbiology · doi:10.3389/fmicb.2024.1334152 · Cited by 34
Validation of a commercially available indirect assay for SARS-CoV-2 neutralising antibodies using a pseudotyped virus assay
Murray, M. J., McIntosh, M., Atkinson, C. E., Mahungu, T. W., Wright, E., Chatterton, W., Gandy, M., & Reeves, M. B. (2021) · Journal of Infection · doi:10.1016/j.jinf.2021.03.010 · Cited by 28
A window of opportunity for intensifying testing and tracing efforts to prevent new COVID-19 outbreaks due to more transmissible variants
Wu, J., Scarabel, F., McCarthy, Z., Xiao, Y., & Ogden, N. H. (2021) · Canada Communicable Disease Report · doi:10.14745/ccdr.v47i78a06 · Cited by 28
Data-driven analysis of amino acid change dynamics timely reveals SARS-CoV-2 variant emergence
Bernasconi, A., Mari, L., Casagrandi, R., & Ceri, S. (2021) · Scientific Reports · doi:10.1038/s41598-021-00496-z · Cited by 26
UK B.1.1.7 (Alpha) variant exhibits increased respiratory replication and shedding in nonhuman primates
Rosenke, K., Feldmann, F., Okumura, A., Hansen, F., Tang-Huau, T.-L., Meade-White, K. D., Kaza, B., Callison, J. A., Lewis, M. C., Smith, B. J., et al. (2021) · Emerging Microbes & Infections · doi:10.1080/22221751.2021.1997074 · Cited by 25
Longitudinal analysis of SARS-CoV-2 spike and RNA-dependent RNA polymerase protein sequences reveals the emergence and geographic distribution of diverse mutations
Showers, W. M., Leach, S. M., Kechris, K. J., & Strong, M. (2021) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2021.105153 · Cited by 35
Computational studies on the interaction of SARS-CoV-2 Omicron SGp RBD with human receptor ACE2, limonin and glycyrrhizic acid
Vardhan, S., & Sahoo, S. K. (2022) · Comput. Biol. Medicine · doi:10.1016/j.compbiomed.2022.105367 · Cited by 30
Detection of Major SARS-CoV-2 Variants of Concern in Clinical Samples via CRISPR-Cas12a-Mediated Mutation-Specific Assay
Liang, Y., Zou, L., Lin, H., Li, B., Zhao, J., Wang, H., Sun, J., Chen, J., Mo, Y., Yang, X., et al. (2022) · ACS Synthetic Biology · doi:10.1021/acssynbio.1c00643 · Cited by 28
Genomic Epidemiology of SARS-CoV-2 Divulge B.1, B.1.36, and B.1.1.7 as the Most Dominant Lineages in First, Second, and Third Wave of SARS-CoV-2 Infections in Pakistan
Basheer, A., & Zahoor, I. (2021) · Microorganisms · doi:10.3390/microorganisms9122609 · Cited by 28
A quantitative evaluation of aerosol generation during supraglottic airway insertion and removal
Shrimpton, A. J., Gregson, F. K. A., Brown, J., Cook, T. M., Bzdek, B. R., Hamilton, F., Reid, J. P., Pickering, A. E., & the AERATOR study group (2021) · Anaesthesia · doi:10.1111/anae.15542 · Cited by 27
SARS‐CoV‐2 worldwide replication drives rapid rise and selection of mutations across the viral genome: a time‐course study – potential challenge for vaccines and therapies
Weber, S., Ramirez, C. M., Weiser, B., Burger, H., & Doerfler, W. (2021) · EMBO Molecular Medicine · doi:10.15252/emmm.202114062 · Cited by 26
Inhibitory effect of anti-HIV compounds extracted from Indian medicinal plants to retard the replication and transcription process of SARS-CoV-2: an insight from molecular docking and MD-simulation studies
Dutta, T., Baildya, N., Khan, A. A., & Ghosh, N. N. (2021) · Network Modeling Analysis in Health Informatics and Bioinformatics · doi:10.1007/s13721-021-00309-3 · Cited by 27
VirusViz: comparative analysis and effective visualization of viral nucleotide and amino acid variants
Bernasconi, A., Gulino, A., Alfonsi, T., Canakoglu, A., Pinoli, P., Sandionigi, A., & Ceri, S. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab478 · Cited by 27
The Alpha Variant (B.1.1.7) of SARS-CoV-2 in Children: First Experience from 3544 Nucleic Acid Amplification Tests in a Cohort of Children in Germany
Meyer, M., Holfter, A., Ruebsteck, E., Gruell, H., Dewald, F., Koerner, R. W., Klein, F., Lehmann, C., Huenseler, C., & Weber, L. T. (2021) · Viruses · doi:10.3390/v13081600 · Cited by 26
Decomposing the sources of SARS-CoV-2 fitness variation in the United States
Kepler, L. M., Hamins-Puértolas, M., & Rasmussen, D. A. (2021) · Virus Evolution · doi:10.1093/ve/veab073 · Cited by 24
Increased transmissibility of the alpha SARS-CoV-2 variant: evidence from contact tracing data in Oslo, January to February 2021
Lindstrøm, J. C., Engebretsen, S., Kristoffersen, A. B., Rø, G., Palomares, A. D.-L., Engø‐Monsen, K., Madslien, E. H., Forland, F., Nygård, K. M., Hagen, F., et al. (2021) · Scandinavian Journal of Infectious Diseases · doi:10.1080/23744235.2021.1977382 · Cited by 27
Determinants of SARS-CoV-2 entry and replication in airway mucosal tissue and susceptibility in smokers
Nakayama, T., Lee, I. T., Jiang, S., Matter, M. S., Yan, C. H., Overdevest, J. B., Wu, C.-T., Goltsev, Y., Shih, L., Liao, S. C., et al. (2021) · Cell Reports Medicine · doi:10.1016/j.xcrm.2021.100421 · Cited by 28
Surveillance of SARS-CoV-2 lineage B.1.1.7 in Slovakia using a novel, multiplexed RT-qPCR assay
Boršová, K., Paul, E. D., Kováčová, V., Radvánszka, M., Hajdu, R., Čabanová, V., Slavíková, M., Ličková, M., Lukáčiková, Ľ., Belák, A., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-99661-7 · Cited by 29
COVID-19 Vaccination Acceptance and Its Associated Factors among Cancer Patients in Tunisia
Khiari, H., Cherif, I., Mghirbi, F., Mézlini, A., & Hsaïri, M. (2021) · Asian Pacific Journal of Cancer Prevention · doi:10.31557/apjcp.2021.22.11.3499 · Cited by 27
Effect of Different Adjuvants on Immune Responses Elicited by Protein-Based Subunit Vaccines against SARS-CoV-2 and Its Delta Variant
Zhang, N., Ji, Q., Liu, Z., Tang, K., Xie, Y., Li, K., Zhou, J., Li, S., Shang, H., Shi, Z., et al. (2022) · Viruses · doi:10.3390/v14030501 · Cited by 26
Microsimulation based quantitative analysis of COVID-19 management strategies
Reguly, I. Z., Csercsik, D., Juhász, J., Tornai, K., Bujtár, Z., Horváth, G., Keömley-Horváth, B. M., Kós, T., Cserey, G., Iván, K., et al. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009693 · Cited by 28
Variant‐specific SARS‐CoV‐2 within‐host kinetics
Elie, B., Roquebert, B., Sofonea, M. T., Trombert‐Paolantoni, S., Foulongne, V., Guedj, J., Haïm-Boukobza, S., & Alizon, S. (2022) · Journal of Medical Virology · doi:10.1002/jmv.27757 · Cited by 23
Research progress on vaccine efficacy against SARS-CoV-2 variants of concern
Bian, L., Liu, J., Gao, F., Gao, Q., He, Q., Mao, Q., Wu, X., Xu, M., & Liang, Z. (2022) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2022.2057161 · Cited by 30
Epidemiological characterization of SARS-CoV-2 variants in children over the four COVID-19 waves and correlation with clinical presentation
Alteri, C., Scutari, R., Costabile, V., Colagrossi, L., Rosa, K. Y. L., Agolini, E., Lanari, V., Chiurchiù, S., Romani, L., Markowich, A. H., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-14426-0 · Cited by 28
Effective high-throughput RT-qPCR screening for SARS-CoV-2 infections in children
Dewald, F., Suárez, I., Johnen, R., Großbach, J., Morán-Tovar, R., Steger, G., Joachim, A., Horemheb-Rubio, G., Fries, M., Behr, F., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-30664-2 · Cited by 26
SARS-COV-2 Notable Mutations and Variants: A Review Article
Farhud, D. D., & Mojahed, N. (2022) · Iranian Journal of Public Health · doi:10.18502/ijph.v51i7.10083 · Cited by 29
Statistical and agent-based modelling of the transmissibility of different SARS-CoV-2 variants in England and impact of different interventions
Panovska‐Griffiths, J., Swallow, B., Hinch, R., Cohen, J. A., Rosenfeld, K., Stuart, R. M., Luca Ferretti, A., Lauro, F. D., Wymant, C., Izzo, A. S., et al. (2022) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2021.0315 · Cited by 28
Self-citation
Vaccine Allocation and Distribution: A Review with a Focus on Quantitative Methodologies and Application to Equity, Hesitancy, and COVID-19 Pandemic
Blasioli, E., Mansouri, B., Tamvada, S. S., & Hassini, E. (2023) · Operations Research Forum · doi:10.1007/s43069-023-00194-8 · Cited by 31
Virological Characterization of Critically Ill Patients With COVID-19 in the United Kingdom: Interactions of Viral Load, Antibody Status, and B.1.1.7 Infection
Ratcliff, J., Nguyen, D. V., Fish, M., Rynne, J., Jennings, A., Williams, S. V., Al-Beidh, F., Bonsall, D., Evans, A. L., Golubchik, T., et al. (2021) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiab283 · Cited by 27
Molecular-Level Anatomy of SARS-CoV-2 for the Battle against the COVID-19 Pandemic
Komiyama, M. (2021) · Bulletin of the Chemical Society of Japan · doi:10.1246/bcsj.20210030 · Cited by 27
Versatile and flexible microfluidic qPCR test for high-throughput SARS-CoV-2 and cellular response detection in nasopharyngeal swab samples
Fassy, J., Lacoux, C., Leroy, S., Noussair, L., Hubac, S., Degoutte, A., Vassaux, G., Leclercq, V., Rouquié, D., Marquette, C., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0243333 · Cited by 27
Epidemiology and control of SARS-CoV-2 epidemics in partially vaccinated populations: a modeling study applied to France
Bosetti, P., Kiem, C. T., Andronico, A., Vittoria Colizza, A., Yazdanpanah, Y., Fontanet, A. L., Benamouzig, D., & Cauchemez, S. (2022) · BMC Medicine · doi:10.1186/s12916-022-02235-1 · Cited by 24
Prevalence of neutralising antibodies against SARS-CoV-2 in acute infection and convalescence: A systematic review and meta-analysis
Savage, H. R., Santos, V. S., Edwards, T., Giorgi, E., Krishna, S., Planche, T., Staines, H. M., Fitchett, J. R. A., Kirwan, D. E., Cubas-Atienzar, A. I., et al. (2021) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0009551 · Cited by 24
Catching SARS-CoV-2 by Sequence Hybridization: a Comparative Analysis
Rehn, A., Braun, P. R., Knüpfer, M., Wölfel, R., Antwerpen, M. H., & Walter, M. C. (2021) · mSystems · doi:10.1128/msystems.00392-21 · Cited by 26
Evaluation of a bioaerosol sampler for indoor environmental surveillance of Severe Acute Respiratory Syndrome Coronavirus 2
Horve, P. F., Dietz, L. G., Northcutt, D., Stenson, J., & Wymelenberg, K. G. V. D. (2021) · PLoS ONE · doi:10.1371/journal.pone.0257689 · Cited by 23
Detection and abundance of SARS-CoV-2 in wastewater in Liechtenstein, and the estimation of prevalence and impact of the B.1.1.7 variant
Markt, R., Endler, L., Amman, F., Schedl, A., Penz, T., Büchel-Marxer, M., Grünbacher, D., Mayr, M., Peer, E., Pedrazzini, M., et al. (2021) · Journal of Water and Health · doi:10.2166/wh.2021.180 · Cited by 26
Dynamics of SARS-CoV-2 Alpha (B.1.1.7) variant spread: The wastewater surveillance approach
Carcereny, A., García-Pedemonte, D., Martínez-Velázquez, A., Quer, J., García‐Cehic, D., Gregori, J., Antón, A., Andrés, C., Pumarola, T., Chacón-Villanueva, C., et al. (2022) · Environmental Research · doi:10.1016/j.envres.2022.112720 · Cited by 24
Descriptive comparison of admission characteristics between pandemic waves and multivariable analysis of the association of the Alpha variant (B.1.1.7 lineage) of SARS-CoV-2 with disease severity in inner London
Snell, L. B., Wang, W., Alcolea-Medina, A., Charalampous, T., Batra, R., de Jongh, L., Higgins, F., Nebbia, G., COG-UK HOCI Investigators, Wang, Y., et al. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-055474 · Cited by 22
Identification of Entry Inhibitors against Delta and Omicron Variants of SARS-CoV-2
Lee, R. K., Li, T., Chang, S., Chao, T., Kuo, C.-H., Pan, M. Y.-C., Chiou, Y.-T., Liao, K.-J., Yang, Y., Wu, Y., et al. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23074050 · Cited by 26
SARS-CoV-2 variant Alpha has a spike-dependent replication advantage over the ancestral B.1 strain in human cells with low ACE2 expression
Niemeyer, D., Stenzel, S., Veith, T., Schroeder, S., Friedmann, K., Weege, F., Trimpert, J., Heinze, J., Richter, A. M., Jansen, J., et al. (2022) · PLoS Biology · doi:10.1371/journal.pbio.3001871 · Cited by 25

Authors: The COVID-19 Genomics UK (COG-UK) consortium, Volz, E., Mishra, S., Chand, M., Barrett, J. C., Johnson, R., Geidelberg, L., Hinsley, W. R., Laydon, D. J., Dabrera, G., O’Toole, Á., Amato, R., Ragonnet-Cronin, M., Harrison, I., Jackson, B., Ariani, C. V., Boyd, O., Loman, N. J., McCrone, J. T., Gonçalves, S., Jorgensen, D., Myers, R., Hill, V., Jackson, D. K., Gaythorpe, K., Groves, N., Sillitoe, J., Kwiatkowski, D. P., Flaxman, S., Ratmann, O., Bhatt, S., Hopkins, S., Gandy, A., Rambaut, A., & Ferguson, N. M.
Affiliations: Imperial College London (GB)
Public Health England (GB)
Wellcome Sanger Institute (GB)
University of Edinburgh (GB)
University of Copenhagen (DK)
Corresponding author: Volz, Erik
Ferguson, Neil M.
ORCID: Volz, Erik
Mishra, Swapnil
Chand, Meera
Barrett, Jeffrey C.
Geidelberg, Lily
Hinsley, Wes R.
Laydon, Daniel J.
Dabrera, Gavin
Harrison, Ian
Jackson, Ben
Ariani, Cristina V.
Boyd, Olivia
Loman, Nicholas J.
McCrone, John T.
Gonçalves, Sónia
Jorgensen, David
Myers, Richard
Hill, Verity
Jackson, David K.
Gaythorpe, Katy
Groves, Natalie
Kwiatkowski, Dominic P.
Flaxman, Seth
Ratmann, Oliver
Bhatt, Samir
Hopkins, Susan
Gandy, Axel
Rambaut, Andrew
Ferguson, Neil M.
Venue: Nature
Publisher: Springer Science and Business Media LLC
Published: 2021-03-25
Volume: 593
Issue: 7858
Pages: 266-269
ISSN: 0028-0836 (ISSN-L)
1476-4687
DOI: 10.1038/s41586-021-03470-x
OpenAlex: W3136588845
Cited by: 1,611
References: 32
Citations by year: 2026: 38 · 2025: 86 · 2024: 116 · 2023: 216 · 2022: 464 · 2021: 685
FWCI: 116.92
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.springer.com/tdm (tdm)
www.springer.com/tdm (vor)
Locations: Nature (publishedVersion)
medRxiv (acceptedVersion, cc-by)
PubMed (publishedVersion)
Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, other-oa)
White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
UEA Digital Repository (University of East Anglia) (submittedVersion)
RePEc: Research Papers in Economics (submittedVersion)
ePrints Soton (University of Southampton) (submittedVersion)
UCL Discovery (University College London) (submittedVersion)
Figshare (submittedVersion)
Research Portal (King's College London) (submittedVersion, other-oa)
Northumbria Research Link (Northumbria University) (submittedVersion)
University of Birmingham Research Portal (University of Birmingham) (submittedVersion, other-oa)
Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
Spiral (Imperial College London) (submittedVersion, cc-by)
Spiral (Imperial College London) (submittedVersion)
Apollo (University of Cambridge) (submittedVersion)
Apollo
Funders: Bill and Melinda Gates Foundation (OPP 1175094, 206194, OPP1197730, MR/R015600/1, OPP1084362)
Wellcome Trust (MR/R015600/1, 204911/Z/16/Z, Z/17/Z, 206298/Z/17/Z, RDA02, 206298, 206194)
UK Research and Innovation (MR/V038109/1, MR/R015600/1, MC_PC_19027)
National Institute for Health Research Health Protection Research Unit
Cancer Research UK (23923)
National Institute for Health and Care Research (PR-OD-1017–20002, MR/R015600/1, RDA02, NIHR301445, OPP1175094, ACF-2018-04-014)
Academy of Medical Sciences (AMS-CSF4-Torok, SBF004\1080)
Imperial College London (MR/R015600/1)
European Commission (725422, MR/R015600/1, 101003653, COVID-19, 206298/Z/17/Z)
Rural Development Administration
Novo Nordisk (NNF20OC0059309)
Novo Nordisk Fonden (NNF20OC0059309)
Medical Research Council (MR/R015600/1, MR/M006212/1, MC_PC_19026, MR/V038109/1, MR/S00291X/1, MC_PC_19012, COVID-19)
Engineering and Physical Sciences Research Council (EP/V002910/1, EP/V002910/2)
Topics: Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 detection and testing
Keywords: SARS-CoV-2, B.1.1.7 lineage, variants of concern, transmissibility, S-gene target failure, time-varying reproduction number, viral genomic surveillance, COVID-19 pandemic, England
MeSH terms: COVID-19, SARS-CoV-2, Adolescent, Adult, Aged, Aged, 80 and over, Child, Child, Preschool, England, Humans, Infant, Infant, Newborn, Middle Aged, Phylogeny, Time Factors, Genome, Viral, Age Distribution, Evolution, Molecular, Basic Reproduction Number, Young Adult, Spike Glycoprotein, Coronavirus

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Assessing transmissibility of SARS-CoV-2 lineage B.1.1.7 in England

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks