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 accessPublished version of a preprint
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.
Overview
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
Cites
Statistics
Verification
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?
In the citing paper
“Epidemiological studies suggest that it was approximately 50% more transmissible than previously circulating UK variants 191,197,198 .”
From The biological and clinical significance of emerging SARS-CoV-2 variants (2021) · cites this paper as [191]
In the citing paper
“Volz and colleagues have shown that the B.1.1.7 variant increases the effective reproduction number, Rt, by a factor of 1·5–2·0.5”
From Changes in symptomatology, reinfection, and transmissibility associated with the SARS-CoV-2 variant B.1.1.7: an ecological study (2021) · cites this paper as [5]
In the citing paper
“Preliminary evidence from epidemiological studies suggests that the B.1.1.7 variant is more transmissible than pre-existing variants.”
From Changes in symptomatology, reinfection, and transmissibility associated with the SARS-CoV-2 variant B.1.1.7: an ecological study (2021) · cites this paper as [5]
In the citing paper
“In addition, the emergence of new variants with increased transmissibility 8 and reduced sensitivity to vaccine-elicited antibodies 9 , and for which vaccines are less able to prevent infection 10 , has raised fears for vulnerable groups in whom the magnitude and quality of immune responses may be suboptimal.”
From Age-related immune response heterogeneity to SARS-CoV-2 vaccine BNT162b2 (2021) · cites this paper as [8]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
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-citationBayesian 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-citationEstimating 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-citationEstimated 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
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
Cited by
Sorted by citations
Items 501–600 of 1,003
Structural evolution of Delta lineage of SARS-CoV-2
Gomari, M. M., Tarighi, P., Choupani, E., Abkhiz, S., Mohamadzadeh, M., Rostami, N., Sadroddiny, E., Baammi, S., Uversky, V. N., & Dokholyan, N. V. (2022) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2022.11.227 · Cited by 28
Kun, Á., Hubai, A. G., Král, A., Mokos, J., Mikulecz, B. Á., & Radványi, Á. (2023) · Biologia Futura · doi:10.1007/s42977-023-00159-2 · Cited by 30
A COVID-19 Model for Local Authorities of the United Kingdom
Mishra, S., Scott, J. A., Laydon, D. J., Zhu, H., Ferguson, N. M., Bhatt, S., Flaxman, S. R., & Gandy, A. (2022) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/rssa.12988 · Cited by 26
Self-citationRajput, V., Pramanik, R. S., Malik, V., Yadav, R., Samson, R., Kadam, P., Bhalerao, U., Tupekar, M. M., Deshpande, D., Shah, P., et al. (2023) · Environmental Science and Pollution Research · doi:10.1007/s11356-023-30709-z · Cited by 23
Molecular characterization of SARS-CoV-2 nucleocapsid protein
Huang, Y., Chen, J., Chen, S., Huang, C., Li, B., Li, J., Jin, Z., Zhang, Q., Pan, P., Du, W., et al. (2024) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2024.1415885 · Cited by 28
Vrancken, B., Dellicour, S., Smith, D. M., & Chaillon, A. (2021) · Clinical Infectious Diseases · doi:10.1093/cid/ciab265 · Cited by 24
RetractedFeghali, R., Merhi, G., Kwasiborski, A., Hourdel, V., Ghosn, N., & Tokajian, S. T. (2021) · PeerJ · doi:10.7717/peerj.11015 · Cited by 27
Zweig, S. A., Zapf, A. J., Xu, H., Li, Q., Agarwal, S., Labrique, A. B., & Peters, D. H. (2021) · JMIR Public Health and Surveillance · doi:10.2196/27917 · Cited by 25
Prioritisation of Compounds for 3CLpro Inhibitor Development on SARS-CoV-2 Variants
Jukič, M., Škrlj, B., Tomšič, G., Pleško, S., Podlipnik, Č., & Bren, U. (2021) · Molecules · doi:10.3390/molecules26103003 · Cited by 28
Inagaki, H., Saito, A., Kaneko, C., Sugiyama, H., Okabayashi, T., & Fujimoto, S. (2021) · Pathogens · doi:10.3390/pathogens10060754 · Cited by 26
Babiker, A., Immergluck, K., Stampfer, S. D., Rao, A., Bassit, L., Su, M., Nguyen, V., Stittleburg, V. D., Ingersoll, J., Bradley, H. L., et al. (2021) · Journal of Clinical Microbiology · doi:10.1128/jcm.01446-21 · Cited by 26
Krafft, É., Denolly, S., Boson, B., Angelloz-Pessey, S., Levaltier, S., Nesi, N., Corbet, S., Leterrier, B., Fritz, M., Leroy, E. M., et al. (2021) · Viruses · doi:10.3390/v13091759 · Cited by 25
Expression pattern and function of SARS-CoV-2 receptor ACE2
Li, R.-T., & Qin, C. (2021) · Biosafety and Health · doi:10.1016/j.bsheal.2021.08.003 · Cited by 25
Patient Nutrition and Probiotic Therapy in COVID-19: What Do We Know in 2021?
Hawryłkowicz, V., Lietz–Kijak, D., Kaźmierczak-Siedlecka, K., Sołek-Pastuszka, J., Stachowska, L., Folwarski, M., Parczewski, M., & Stachowska, E. (2021) · Nutrients · doi:10.3390/nu13103385 · Cited by 25
Murugan, C., Ramamoorthy, S., Kuppuswamy, G. P., Murugan, R. K., Sivalingam, Y., & Sundaramurthy, A. (2021) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2021.10.144 · Cited by 28
Andrés, C., Piñana, M., Borràs-Bermejo, B., Gónzalez‐Sánchez, A., García‐Cehic, D., Esperalba, J., Rando‐Segura, A., Zules-Oña, R., de Campos, C. F., Codina, M. G., et al. (2021) · Emerging Microbes & Infections · doi:10.1080/22221751.2021.2011617 · Cited by 26
Awassa, L., Jdey, I., Dhahri, H., Hcini, G., Mahmood, A., Othman, E. M. A., & Haneef, M. (2022) · Sensors · doi:10.3390/s22051890 · Cited by 25
Dynamic allostery highlights the evolutionary differences between the CoV-1 and CoV-2 main proteases
Campitelli, P., Lu, J., & Ozkan, S. B. (2022) · Biophysical Journal · doi:10.1016/j.bpj.2022.03.012 · Cited by 25
Various vaccine platforms in the field of COVID-19
Savina, K. F., Sreekumar, R., Soonu, V. K., & Variyar, E. J. (2022) · Beni-Suef University Journal of Basic and Applied Sciences · doi:10.1186/s43088-022-00215-1 · Cited by 26
Pavan, M., Bassani, D., Sturlese, M., & Moro, S. (2022) · Journal of Enzyme Inhibition and Medicinal Chemistry · doi:10.1080/14756366.2022.2081847 · Cited by 24
Appropriately smoothing prevalence data to inform estimates of growth rate and reproduction number
Eales, O. D., Ainslie, K. E. C., Walters, C. E., Wang, H., Atchison, C. J., Ashby, D., Donnelly, C. A., Cooke, G., Barclay, W., Ward, H., et al. (2022) · Epidemics · doi:10.1016/j.epidem.2022.100604 · Cited by 25
SARS-CoV-2 Delta Spike Protein Enhances the Viral Fusogenicity and Inflammatory Cytokine Production
Ao, Z., Ouyang, M. J., Olukitibi, T. A., & Yao, X. (2021) · iScience · doi:10.1016/j.isci.2022.104759 · Cited by 27
Antibody-mediated immunity to SARS-CoV-2 spike
Errico, J. M., Adams, L. J., & Fremont, D. H. (2022) · Advances in immunology · doi:10.1016/bs.ai.2022.07.001 · Cited by 22
Arabi, M., Al-Najjar, Y. A., Sharma, O., Kamal, I., Javed, A., Gohil, H., Paul, P., Al-Khalifa, A. M., Laws, S., & Zakaria, D. (2023) · BMC Infectious Diseases · doi:10.1186/s12879-023-08328-3 · Cited by 25
Fang, L., Xu, J., Zhao, Y., Fan, J., Shen, J., Liu, W., & Cao, G. (2023) · Frontiers in Microbiology · doi:10.3389/fmicb.2023.1228128 · Cited by 26
Khedar, R. S., Mittal, K., Ambaliya, H. C., Mathur, A. V., Gupta, J. B., Sharma, K. K., Singh, Y., Sharma, G., Gupta, A., Bhargava, V., et al. (2021) · medRxiv · doi:10.1101/2021.09.03.21263091 · Cited by 25
The challenge of emerging SARS-CoV-2 mutants to vaccine development
Li, R., Liu, J., & Zhang, H. (2021) · Journal of genetics and genomics/Journal of Genetics and Genomics · doi:10.1016/j.jgg.2021.03.001 · Cited by 25
Hogan, C. A., Jassem, A. N., Sbihi, H., Joffres, Y., Tyson, J. R., Noftall, K., Taylor, M., Lee, T., Fjell, C. D., Wilmer, A., et al. (2021) · Emerging infectious diseases · doi:10.3201/eid2711.211190 · Cited by 24
Genomic epidemiology of SARS-CoV-2 transmission lineages in Ecuador
Gutiérrez, B., Márquez, S., Prado-Vivar, B., Becerra-Wong, M., Guadalupe, J. J., Cândido, D. D. S., Fernández‐Cadena, J. C., Gabriel Morey-León, G., Armas-González, R., Andrade-Molina, D., et al. (2021) · Virus Evolution · doi:10.1093/ve/veab051 · Cited by 25
Self-citationPasquale, A. D., Radomski, N., Mangone, I., Calistri, P., Lorusso, A., & Cammà, C. (2021) · BMC Genomics · doi:10.1186/s12864-021-08112-0 · Cited by 23
Prüβ, B. M. (2022) · Frontiers in Bioscience-Landmark · doi:10.31083/j.fbl2702065 · Cited by 26
The need for linked genomic surveillance of SARS-CoV-2
Dushoff, C., Earn, D. J. D., Dushoff, J. G., Ogden, N. H., Li, M., Knox, N., Domselaar, G. V., Franklin, K., Jolly, G., & Otto, S. P. (2022) · Canada Communicable Disease Report · doi:10.14745/ccdr.v48i04a03 · Cited by 23
Ma, H., Guo, Y., Tang, H., Tseng, C.-T. K., Wang, L., Zong, H., Wang, Z., He, Y., Chang, Y., Wang, S., et al. (2022) · Cell Discovery · doi:10.1038/s41421-022-00381-7 · Cited by 23
Pandemic Modeling, Good and Bad
Northcott, R. (2022) · Philosophy of Medicine · doi:10.5195/pom.2022.79 · Cited by 24
Association Between the LZTFL1 rs11385942 Polymorphism and COVID-19 Severity in Colombian Population
Angulo-Aguado, M., Corredor-Orlandelli, D., Carrillo-Martínez, J. C., Gonzalez-Cornejo, M., Pineda-Mateus, E., Rojas, C., Triana-Fonseca, P., Bravo, N. C. C., Morel, A., Abaunza, K. P., et al. (2022) · Frontiers in Medicine · doi:10.3389/fmed.2022.910098 · Cited by 24
Genomic surveillance, evolution and global transmission of SARS-CoV-2 during 2019–2022
Sharif, N., Alzahrani, K. J., Ahmed, S. N., Khan, A., Banjer, H. J., Alzahrani, F. M., Parvez, A. K., & Dey, S. K. (2022) · PLoS ONE · doi:10.1371/journal.pone.0271074 · Cited by 26
Zhou, J., Liu, Z., Zhang, G., Xu, W., Xing, L., Lu, L., Wang, Q., & Jiang, S. (2022) · Journal of Medical Virology · doi:10.1002/jmv.28172 · Cited by 24
Lessons Learnt from COVID-19: Computational Strategies for Facing Present and Future Pandemics
Pavan, M., & Moro, S. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24054401 · Cited by 25
Raya, S., Malla, B., Thakali, O., Angga, M. S., & Haramoto, E. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.167844 · Cited by 26
Lythgoe, K., Golubchik, T., Hall, M. D., House, T., Cahuantzi, R., MacIntyre-Cockett, G., Fryer, H. R., Thomson, L., Nurtay, A., Ghafari, M., et al. (2023) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2023.1284 · Cited by 28
Self-citationKiem, C. T., & Bedford, T. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2305299121 · Cited by 20
Alam, A. S. M. R. U., Islam, O. K., Hasan, M. S., Islam, M. R., Mahmud, S., Al‐Emran, H. M., Jahid, I. K., Crandall, K. A., & Hossain, M. A. (2021) · Journal of Medical Virology · doi:10.1002/jmv.27416 · Cited by 24
Kost, G. J. (2021) · Archives of Pathology & Laboratory Medicine · doi:10.5858/arpa.2020-0716-sa · Cited by 23
Natale, A., Mazzotta, E., Mason, N., Ceglie, L., Mion, M. M., Stefani, A., Fincato, A., Bonfante, F., Bortolami, A., Monne, I., et al. (2021) · Animals · doi:10.3390/ani11061640 · Cited by 23
Virus Corona (SARS-CoV-2) penyebab COVID-19 kini telah bermutasi
Parwanto, E. (2021) · Jurnal Biomedika dan Kesehatan · doi:10.18051/jbiomedkes.2021.v4.47-49 · Cited by 24
Joshi, N., Tyagi, A., & Nigam, S. (2021) · ChemistrySelect · doi:10.1002/slct.202102074 · Cited by 21
Genome interaction of the virus and the host genes and non-coding RNAs in SARS-CoV-2 infection
Serpeloni, J. M., Neto, Q. A. D. L., Lúcio, L. C., Ramão, A., de Oliveira, J. C., Gradia, D. F., Malheiros, D., Ferrasa, A., Marchi, R., Figueiredo, D. L. A., et al. (2021) · Immunobiology · doi:10.1016/j.imbio.2021.152130 · Cited by 25
Novoa, B., Ríos-Castro, R., Otero‐Muras, I., de Gouveia, S. M. A. F., Cabo, A., Saco, A., Rey-Campos, M., Pájaro, M., Fajar, N. M., Aranguren, R., et al. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.155140 · Cited by 23
Multiplex Fragment Analysis for Flexible Detection of All SARS-CoV-2 Variants of Concern
Clark, A. E., Wang, Z., Ostman, E., Zheng, H., Yao, H., Cantarel, B. L., Kanchwala, M., Xing, C., Chen, L., Irwin, P., et al. (2022) · Clinical Chemistry · doi:10.1093/clinchem/hvac081 · Cited by 23
Sahoo, P., Dey, J., Mahapatra, S. R., Ghosh, A., Jaiswal, A., Padhi, S., Prabhuswamimath, S. C., Misra, N., & Suar, M. (2022) · OMICS A Journal of Integrative Biology · doi:10.1089/omi.2022.0072 · Cited by 24
Research progress in spike mutations of SARS‐CoV‐2 variants and vaccine development
He, X., He, C., Hong, W., Yang, H. J., & Wei, X. (2023) · Medicinal Research Reviews · doi:10.1002/med.21941 · Cited by 25
Paireau, J., Charpignon, M., Larrieu, S., Calba, C., Hozé, N., Boëlle, P., Thiébaut, R., Prague, M., & Cauchemez, S. (2023) · BMC Infectious Diseases · doi:10.1186/s12879-023-08106-1 · Cited by 23
Wohl, S., Lee, E. C., DiPrete, B. L., & Lessler, J. (2023) · Cell Reports Medicine · doi:10.1016/j.xcrm.2023.101022 · Cited by 26
Lessons from COVID-19 for rescalable data collection
Bhatia, S., Imai, N., Watson, O. J., Abbood, A., AbdelMalik, P., Cornelissen, T., Ghozzi, S., Lassmann, B., Nagesh, R., Ragonnet‐Cronin, M., et al. (2023) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(23)00121-4 · Cited by 23
Self-citationPhenotypic evolution of SARS-CoV-2 spike during the COVID-19 pandemic
Furnon, W., Cowton, V. M., Lorenzo, G. D., Orton, R. J., Herder, V., Cantoni, D. M., Ilia, G., Mendonça, D. C., Kerr, K., Allan, J., et al. (2025) · Nature Microbiology · doi:10.1038/s41564-024-01878-5 · Cited by 23
Pattabiraman, C., Prasad, P., George, A. K., Sreenivas, D., Rasheed, R., Reddy, N. V. K., Desai, A. S., & Ravi, V. (2021) · Wellcome Open Research · doi:10.12688/wellcomeopenres.16768.1 · Cited by 21
Comparative Analysis of Emerging B.1.1.7+E484K SARS-CoV-2 Isolates
Moustafa, A. M., Bianco, C. M., Denu, L., Ahmed, A., Coffin, S. E., Neide, B., Everett, J. K., Reddy, S. G., Rabut, E., Deseignora, J., et al. (2021) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofab300 · Cited by 23
Erster, O., Mendelson, E., Levy, V., Kabat, A., Mannasse, B., Asraf, H., Azar, R., Ali, Y., Shirazi, R., Bucris, E. D., et al. (2021) · Microbiology Spectrum · doi:10.1128/spectrum.00506-21 · Cited by 21
COVID-19 Vaccine: Between Myth and Truth
Piccaluga, P. P., Guardo, A. D., Lagni, A., Lotti, V., Diani, E., Navari, M., & Gibellini, D. (2022) · Vaccines · doi:10.3390/vaccines10030349 · Cited by 22
Koslow, W., Kühn, M. J., Binder, S. C., Klitz, M., Abele, D., Basermann, A., & Meyer‐Hermann, M. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010054 · Cited by 27
Mutation induced infection waves in diseases like COVID-19
Schwarzendahl, F. J., Grauer, J., Liebchen, B., & Löwen, H. (2022) · Scientific Reports · doi:10.1038/s41598-022-13137-w · Cited by 24
Phylodynamic signatures in the emergence of community-associated MRSA
Steinig, E. J., Aglua, I., Duchêne, S., Meehan, M. T., Yoannes, M., Firth, C., Jaworski, J., Drekore, J., Urakoko, B., Poka, H., et al. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2204993119 · Cited by 22
Dong, J., Chen, R., Zhao, H., & Zhu, Y. (2022) · Advances in Ophthalmology Practice and Research · doi:10.1016/j.aopr.2022.11.001 · Cited by 22
SARS-CoV-2 infection and immune responses
Harne, R., Williams, B., Abdelaal, H. F. M., Baldwin, S. L., & Coler, R. N. (2023) · AIMS Microbiology · doi:10.3934/microbiol.2023015 · Cited by 21
Ulhuq, F. R., Barge, M., Falconer, K., Wild, J., Fernandes, G., Gallagher, A., McGinley, S., Sugadol, A., Tariq, M., Maloney, D. M., et al. (2023) · Microbial Genomics · doi:10.1099/mgen.0.000991 · Cited by 27
Shukla, A. K., & Kumar, A. (2023) · Vegetos · doi:10.1007/s42535-023-00690-6 · Cited by 22
Sieve analysis to understand how SARS-CoV-2 diversity can impact vaccine protection
Rolland, M., & Gilbert, P. B. (2021) · PLoS Pathogens · doi:10.1371/journal.ppat.1009406 · Cited by 21
Temporal spread and evolution of SARS‐CoV‐2 in the second pandemic wave in Brazil
Wolf, J. M., Kipper, D., Borges, G. R., Streck, A. F., & Lunge, V. R. (2021) · Journal of Medical Virology · doi:10.1002/jmv.27371 · Cited by 21
Fiolet, T., Kherabi, Y., MacDonald, C. J., Ghosn, J., & Peiffer‐Smadja, N. (2021) · OSF Preprints (OSF Preprints) · doi:10.31219/osf.io/z4x7t · Cited by 22
COVID‐19: emergence and mutational diversification of SARS‐CoV‐2
Brüssow, H. (2021) · Microbial Biotechnology · doi:10.1111/1751-7915.13800 · Cited by 23
Beyond the new normal: Assessing the feasibility of vaccine-based suppression of SARS-CoV-2
Stoddard, M., Sarkar, S., Lin, Y., Nolan, R. P., White, D. E., White, L. F., Hochberg, N. S., & Chakravarty, A. (2021) · PLoS ONE · doi:10.1371/journal.pone.0254734 · Cited by 21
Application of omics technology to combat the COVID‐19 pandemic
Yang, J., Yan, Y., & Zhong, W. (2021) · MedComm · doi:10.1002/mco2.90 · Cited by 20
Sideward contact tracing and the control of epidemics in large gatherings
Mancastroppa, M., Guizzo, A., Castellano, C., Vezzani, A., & Burioni, R. (2022) · Journal of The Royal Society Interface · doi:10.1098/rsif.2022.0048 · Cited by 21
From Alpha to Zeta: Identifying Variants and Subtypes of SARS-CoV-2 Via Clustering
Melnyk, A., Mohebbi, F., Knyazev, S., Sahoo, B., Hosseini, R., Skums, P., Zelikovsky, A., & Patterson, M. (2021) · Journal of Computational Biology · doi:10.1089/cmb.2021.0302 · Cited by 21
Jeong, B.-S., Cha, J. S., Hwang, I., Kim, U., Adolf‐Bryfogle, J., Coventry, B., Cho, H., Kim, K., & Oh, B. (2022) · mAbs · doi:10.1080/19420862.2021.2021601 · Cited by 21
Dynamics of COVID-19 in Amazonia: A history of government denialism and the risk of a third wave
Ferrante, L., Duczmal, L. H., Capanema, E., Steinmetz, W. A. C., Almeida, A. C. L., Leão, J., Vassão, R. C., Fearnside, P. M., & Tupinambás, U. (2022) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2022.101752 · Cited by 24
Temsah, M.-H. A., Aljamaan, F., Alenezi, S., Alhasan, K. A., Alrabiaah, A. A., Assiri, R., Bassrawi, R. K., Alhaboob, A. A. N., Alshahrani, F. S., Alarabi, M., et al. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.878159 · Cited by 21
Kühn, M. J., Abele, D., Binder, S. C., Rack, K., Klitz, M., Kleinert, J., Gilg, J., Spataro, L., Koslow, W., Siggel, M., et al. (2022) · BMC Infectious Diseases · doi:10.1186/s12879-022-07302-9 · Cited by 21
Stadtmüller, M., Laubner, A., Rost, F., Winkler, S., Patrasová, E., Šimůnková, L., Reinhardt, S., Beil, J., Dalpke, A. H., & Yi, B. (2022) · Virus Evolution · doi:10.1093/ve/veac010 · Cited by 24
Cooper, D. J., Lear, S. E., Watson, L. P. E., Shaw, A. S., Ferris, M., Döffinger, R., Bousfield, R., Sharrocks, K., Weekes, M. P., Warne, B., et al. (2020) · Journal of Infection · doi:10.1016/j.jinf.2022.08.030 · Cited by 20
Differential Cell Line Susceptibility to the SARS-CoV-2 Omicron BA.1.1 Variant of Concern
Dighe, H., Sarkale, P., Patil, D. Y., Mohandas, S., Shete, A. M., Sahay, R. R., Lakra, R., Patil, S., Majumdar, T., Gawande, P., et al. (2022) · Vaccines · doi:10.3390/vaccines10111962 · Cited by 21
Collin, A., Hejblum, B. P., Vignals, C., Lehot, L., Thiébaut, R., Moireau, P., & Prague, M. (2023) · The International Journal of Biostatistics · doi:10.1515/ijb-2022-0087 · Cited by 30
Potential SARS-CoV-2 vaccines: Concept, progress, and challenges
Hosseini, S. A., Zahedipour, F., Mirzaei, H., & Oskuee, R. K. (2021) · International Immunopharmacology · doi:10.1016/j.intimp.2021.107622 · Cited by 26
Hansen, P. R. (2022) · Econometrics Journal · doi:10.1093/ectj/utac011 · Cited by 21
A tale of three SARS-CoV-2 variants with independently acquired P681H mutations in New York StatePreprint
Lasek‐Nesselquist, E., Pata, J. D., Schneider, E., & George, K. S. (2021) · medRxiv · doi:10.1101/2021.03.10.21253285 · Cited by 22
Effect of SARS-CoV-2 spike mutations on animal ACE2 usage and in vitro neutralization sensitivityPreprint
Yao, W., Ma, D., Wang, H., Tang, X., Du, C., Pan, H., Li, C., Lin, H., Farzan, M., Zhao, J., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.01.27.428353 · Cited by 21
Rendana, M., & Idris, W. M. R. (2021) · Journal of Infection and Public Health · doi:10.1016/j.jiph.2021.05.019 · Cited by 20
Hirotsu, Y., & Omata, M. (2021) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2021.105088 · Cited by 20
Jeda, A. S., Abbassi, S., Mousavizadeh, A., Esghaie, M., Bokharaei‐Salim, F., Jeddi, F., Shafaati, M., & Abdoli, A. (2021) · International Immunopharmacology · doi:10.1016/j.intimp.2021.108232 · Cited by 22
Antibody cocktail effective against variants of SARS-CoV-2
Liang, K.-H., Chiang, P.-Y., Ko, S.-H., Chou, Y., Lu, R., Lin, H.-T., Wy, C., Lin, Y., Tao, M., Jan, J., et al. (2021) · Journal of Biomedical Science · doi:10.1186/s12929-021-00777-9 · Cited by 19
Donnelly, M. A. P., Chuey, M. R., Soto, R. A., Schwartz, N. G., Chu, V. T., Konkle, S. L., Sleweon, S., Ruffin, J. D., Haberling, D. L., Guagliardo, S. A. J., et al. (2022) · Clinical Infectious Diseases · doi:10.1093/cid/ciac125 · Cited by 20
Xiao, C., Mao, L., Wang, Z., Gao, L., Zhu, G., Su, J., Chen, X., Yuan, J., Hu, Y., Yin, Z., et al. (2022) · iScience · doi:10.1016/j.isci.2022.103934 · Cited by 21
Cantoni, D. M., Neto, M. M., Nadesalingam, A., Wells, D. A., Carnell, G., Ohlendorf, L., Ferrari, M., Palmer, P., Chan, A. C. Y., Smith, P., et al. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.773982 · Cited by 20
Inchingolo, A. D., Malcangi, G., Ceci, S., Patano, A., Corriero, A., Vimercati, L., Azzollini, D., Marinelli, G., Coloccia, G., Piras, F., et al. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23158485 · Cited by 22
Han, A. X., Kozanli, E., Koopsen, J., Vennema, H., RIVM COVID-19 molecular epidemiology group, Hajji, K., Kroneman, A., Walle, I. V., Klinkenberg, D., Wallinga, J., et al. (2022) · eLife · doi:10.7554/elife.78770 · Cited by 19
Stirrup, O., Blackstone, J., Mapp, F., MacNeil, A., Panca, M., Holmes, A. H., Machin, N. W., Shin, G. Y., Mahungu, T. W., Saeed, K. B. A., et al. (2022) · eLife · doi:10.7554/elife.78427 · Cited by 20
Chen, M., Chen, Y., Xu, Y., An, Q., & Min, W. (2022) · Sustainable Cities and Society · doi:10.1016/j.scs.2022.104256 · Cited by 20
Russell, T., Townsley, H., Abbott, S., Hellewell, J., Carr, E. J., Chapman, L. A. C., Pung, R., Quilty, B. J., Hodgson, D., Fowler, A. S., et al. (2024) · PLoS Biology · doi:10.1371/journal.pbio.3002463 · Cited by 22
Sallam, M., & Mahafzah, A. M. (2021) · Pathogens · doi:10.3390/pathogens10030302 · Cited by 23
SARS-CoV-2 variants lacking ORF8 occurred in farmed mink and pangolin
Pereira, F. (2021) · Gene · doi:10.1016/j.gene.2021.145596 · Cited by 19
Metadata
- 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
- Published
- 2021-03-25
- Volume
- 593
- Issue
- 7858
- Pages
- 266-269
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- 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
- 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