The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Genomic characterization and Epidemiology of an emerging SARS-CoV-2 variant in Delhi, India
Open accessPreprint — published as 10.1126/science.abj9932
Abstract
Delhi, the national capital of India, has experienced multiple SARS-CoV-2 outbreaks in 2020 and reached a population seropositivity of over 50% by 2021. During April 2021, the city became overwhelmed by COVID-19 cases and fatalities, as a new variant B.1.617.2 (Delta) replaced B.1.1.7 (Alpha). A Bayesian model explains the growth advantage of Delta through a combination of increased transmissibility and partial reduction of immunity elicited by prior infection (median estimates; ×1.5-fold, 20% reduction). Seropositivity of an employee and family cohort increased from 42% to 86% between March and July 2021, with 27% reinfections, as judged by increased antibody concentration after previous decline. The likely high transmissibility and partial evasion of immunity by the Delta variant contributed to an overwhelming surge in Delhi. One-Sentence Summary: Delhi experienced an overwhelming surge of COVID-19 cases and fatalities peaking in May 2021 as the highly transmissible and immune evasive Delta variant replaced the Alpha variant.
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
“Studies in India have estimated that the delta variant could be up to 50% more transmissible than the alpha variant.8”
From Hospital admission and emergency care attendance risk for SARS-CoV-2 delta (B.1.617.2) compared with alpha (B.1.1.7) variants of concern: a cohort study (2022) · 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
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
A new coronavirus associated with human respiratory disease in China
Wu, F., Zhao, S., Yu, B., Chen, Y.-M., Wang, W., Song, Z.-G., Hu, Y., Tao, Z.-W., Tian, J.-H., Pei, Y.-Y., et al. (2020) · Nature · doi:10.1038/s41586-020-2008-3 · Cited by 11,688
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-citationNextstrain: real-time tracking of pathogen evolution
Hadfield, J., Megill, C., Bell, S. M., Huddleston, J., Potter, B., Callender, C., Sagulenko, P., Bedford, T., & Neher, R. A. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty407 · Cited by 3,154
GISAID: Global initiative on sharing all influenza data – from vision to reality
Shu, Y., & McCauley, J. (2017) · Eurosurveillance · doi:10.2807/1560-7917.es.2017.22.13.30494 · Cited by 3,039
Effectiveness of Covid-19 Vaccines against the B.1.617.2 (Delta) Variant
Lopez Bernal, J., Andrews, N., Gower, C., Gallagher, E., Simmons, R., Thelwall, S., Stowe, J., Tessier, E., Groves, N., Dabrera, G., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2108891 · Cited by 2,889
Immunological memory to SARS-CoV-2 assessed for up to 8 months after infection.
Dan, J. M., Mateus, J., Kato, Y., Hastie, K. M., Yu, E. D., Faliti, C. E., Grifoni, A., Ramirez, S. I., Haupt, S., Frazier, A., et al. (2021) · Science · doi:10.1126/science.abf4063 · Cited by 2,656
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
A dynamic nomenclature proposal for SARS-CoV-2 lineages to assist genomic epidemiology
Rambaut, A., Holmes, E. C., O’Toole, Á., Hill, V., McCrone, J. T., Ruis, C., du Plessis, L., & Pybus, O. G. (2020) · Nature Microbiology · doi:10.1038/s41564-020-0770-5 · Cited by 2,543
Folegatti, P. M., Ewer, K. J., Aley, P. K., Angus, B., Becker, S., Belij-Rammerstorfer, S., Bellamy, D., Bibi, S., Bittaye, M., Clutterbuck, E. A., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)31604-4 · Cited by 2,419
Flagged first, then by citations
Research works printed but not linked: 1
- Ferreira, Isabella et al. SARS-CoV-2 B.1.617 mutations L452 and E484Q are not synergistic for antibody evasion. The Journal of infectious diseases, jiab368.
Cited by
Sorted by citations
Items 101–200 of 298
Kumar, A., Asghar, A., Dwivedi, P., Kumar, G., Narayan, R. K., Jha, R. K., Parashar, R., Sahni, C., & Pandey, S. N. (2022) · JMIR Bioinformatics and Biotechnology · doi:10.2196/36860 · Cited by 18
Yurkovetskiy, L., Egri, S. B., Kurhade, C., Díaz-Salinas, M. A., Jaimes, J. A., Nyalile, T., Xie, X., Choudhary, M. C., Dauphin, A., Li, J. Z., et al. (2023) · SSRN Electronic Journal · doi:10.1101/2023.03.30.535005 · Cited by 18
Singh, P., Ujjainiya, R., Prakash, S., Naushin, S., Sardana, V., Bhatheja, N., Singh, A. P., Barman, J., Kumar, K., Gayali, S., et al. (2022) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2022.105419 · Cited by 16
Self-citationGen, M., Peng, H., Tang, H., Liu, Y., Zheng, X., Liu, B., Jiang, L., Tang, W., He, Y., Liu, Y., et al. (2022) · Journal of Medical Virology · doi:10.1002/jmv.27951 · Cited by 16
SARS-CoV-2 Variants, Current Vaccines and Therapeutic Implications for COVID-19
Liang, H., Wu, Y., Yau, V., Yin, H.-X., Lowe, S., Bentley, R., Ahmed, M. A., Zhao, W., & Sun, C. (2022) · Vaccines · doi:10.3390/vaccines10091538 · Cited by 16
Zaidi, A. K., & Singh, R. B. (2024) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2023.09.002 · Cited by 16
Severe Acute Respiratory Syndrome Coronavirus 2 Infections in Children
Chow, E. J., & Englund, J. A. (2022) · Infectious Disease Clinics of North America · doi:10.1016/j.idc.2022.01.005 · Cited by 21
Almufty, H. B., Mamani, M. M. A., Ali, A. H., & Merza, M. A. (2022) · Journal of Medical Virology · doi:10.1002/jmv.27985 · Cited by 18
Li, D., Li, A.-E., Li, Z.-Q., Bao, Y., Liu, T., Qin, X., & Yu, X. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.856757 · Cited by 15
Lineage BA.2 dominated the Omicron SARS-CoV-2 epidemic wave in the Philippines
Li, Y., Polotan, F. G. M., Sotelo, G. I. S., Alpino, A. P. A., Dolor, A. Y. M., Tujan, M. A. A., Gomez, M. R., Onza, O. J. T., Chang, A. K. T., Bautista, C. T., et al. (2022) · Virus Evolution · doi:10.1093/ve/veac078 · Cited by 16
A vaccine delivery system promotes strong immune responses against SARS‐CoV‐2 variants
Lei, Z., Zhu, L., Pan, P., Ruan, Z., Gu, Y., Xia, X., Wang, S., Ge, W., Yao, Y., Luo, F., et al. (2023) · Journal of Medical Virology · doi:10.1002/jmv.28475 · Cited by 16
Singh, J., Anantharaj, A., Panwar, A., Rani, C., Bhardwaj, M., Kumar, P., Chattopadhyay, P., Devi, P., Maurya, R., Mishra, P., et al. (2023) · PLoS Pathogens · doi:10.1371/journal.ppat.1011196 · Cited by 14
Self-citationUtility of nasal swabs for assessing mucosal immune responses towards SARS-CoV-2
Roubidoux, E. K., Brigleb, P. H., Vegesana, K., Souquette, A. H., Whitt, K. T., Freiden, P. J., St. Jude Investigative Team, Allison, K., Cherry, S., Dallas, R. H., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-44989-5 · Cited by 15
Rangaiah, A., Shankar, S. M., Basawarajappa, S. G., Shah, P. A., Chandrashekar, A., Munegowda, A., & Padukone, S. (2021) · IJID Regions · doi:10.1016/j.ijregi.2021.11.004 · Cited by 15
Zimmerman, O., Doss, A. M. A., Kapłonek, P., Liang, C.-Y., VanBlargan, L. A., Chen, R. E., Monroy, J. M., Wedner, H. J., Kulczycki, A., Mantia, T. L., et al. (2022) · Cell Reports Medicine · doi:10.1016/j.xcrm.2022.100653 · Cited by 15
Subramoney, K., Mtileni, N., Giandhari, J., Naidoo, Y., Ramphal, Y., Pillay, S., Ramphal, U., Maharaj, A., Tshiabuila, D., Tegally, H., et al. (2023) · Viruses · doi:10.3390/v15051194 · Cited by 14
Advancing CRISPR-Based Solutions for COVID-19 Diagnosis and Therapeutics
Hadi, R., Poddar, A., Sonnaila, S., Bhavaraju, V. S. M., & Agrawal, S. (2024) · Cells · doi:10.3390/cells13211794 · Cited by 15
Franceschi, V. B., Caldana, G. D., Perin, C., Horn, A., Peter, C., Cybis, G. B., Ferrareze, P. A. G., Rotta, L. N., Cadegiani, F., Zimerman, R. A., et al. (2021) · Pathogens · doi:10.3390/pathogens10080988 · Cited by 14
Yang, J., Cui, Y., Yu, D., Zhang, G., Cao, R., Gu, Z., Dai, G., Wu, X., Ling, Y., Yi, C., et al. (2023) · Molecular Biology and Evolution · doi:10.1093/molbev/msad142 · Cited by 15
Jaiswal, V., & Lee, H. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.832106 · Cited by 13
Host chitinase 3-like-1 is a universal therapeutic target for SARS-CoV-2 viral variants in COVID-19
Kamle, S., Ma, B., Lee, C. M., Schor, G., Zhou, Y., Lee, C. G., & Elias, J. A. (2022) · eLife · doi:10.7554/elife.78273 · Cited by 13
Freire‐Neto, F. P., Teixeira, D. G., da Cunha, D. C. S., Morais, I. C., Tavares, C. P. M., Gurgel, G. P., Medeiros, S. D. D. N., Santos, D. C., Sales, A. D. O., & Jerônimo, S. M. B. (2022) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0010337 · Cited by 14
Global estimates of the fitness advantage of SARS-CoV-2 variant Omicron
van Dorp, C. H., Goldberg, E. E., Ke, R., Hengartner, N., & Romero-Severson, E. O. (2022) · Virus Evolution · doi:10.1093/ve/veac089 · Cited by 13
SARS‐CoV‐2 evolves to reduce but not abolish neutralizing action
Zhang, Y., Ndzouboukou, J. B., Lin, X., Hou, H., Wang, F., Yuan, L., Gan, M., Yao, Z., Fu, H., Cao, J., et al. (2022) · Journal of Medical Virology · doi:10.1002/jmv.28207 · Cited by 12
Bui, N.-N., Lin, Y.-T., Huang, S.-H., & Lin, C. (2021) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2021.105164 · Cited by 13
Global Expansion of SARS-CoV-2 Variants of Concern: Dispersal Patterns and Influence of Air TravelPreprint
Tegally, H., Wilkinson, E., Martin, D. P., Moir, M., Brito, A. F., Giovanetti, M., Khan, K., Huber, C., Bogoch, I. I., San, J. E., et al. (2022) · medRxiv · doi:10.1101/2022.11.22.22282629 · Cited by 13
Hingankar, N. K., Deshpande, S., Das, P., Rizvi, Z. A., Wibmer, C. K., Mashilo, P., Ansari, M. Y., Burns, A., Barman, S., Zhao, F., et al. (2022) · PLoS Pathogens · doi:10.1371/journal.ppat.1010465 · Cited by 14
Self-citationTransmission of B.1.617.2 Delta variant between vaccinated healthcare workers
Kemp, S. A., Cheng, M. T. K., Hamilton, W. L., Kamelian, K., Chauhan, H., Dikid, T., Gogia, H., Lall, H., Ponnusamy, K., Verma, K., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-14411-7 · Cited by 13
Self-citationMehta, P., Ravi, V., Devi, P., Maurya, R., Parveen, S., Mishra, P., Yadav, A., Swaminathan, A., Saifi, S., Khare, K., et al. (2022) · Microbiological Research · doi:10.1016/j.micres.2022.127099 · Cited by 12
Self-citationUjjainiya, R., Tyagi, A., Sardana, V., Naushin, S., Bhatheja, N., Kumar, K., Barman, J., Prakash, S., Kutum, R., Bhaskar, A. K., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-29404-3 · Cited by 10
Self-citationMolecular epidemiology of SARS-CoV-2 in Cyprus
Richter, J., Fanis, P., Tryfonos, C., Koptides, D., Krashias, G., Bashiardes, S., Hadjisavvas, A., Loizidou, M. A., Oulas, A., Alexandrou, D., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0248792 · Cited by 11
Omicron infection increases IgG binding to spike protein of predecessor variants
Mahalingam, G., Periyasami, Y., Arjunan, P., Subaschandrabose, R. K., Mathivanan, T. V., Mathew, R. S., Devi, R., Premkumar, P. S., Muliyil, J., Srivastava, A., et al. (2022) · Journal of Medical Virology · doi:10.1002/jmv.28419 · Cited by 10
Kumar, N., Kaushik, R., Singh, A., Uversky, V. N., Zhang, K. Y. J., Sahu, U., Bhatia, S., & Sanyal, A. (2022) · Viruses · doi:10.3390/v14122764 · Cited by 12
Traceability of SARS‐CoV‐2 transmission through quasispecies analysis
Messali, S., Rondina, A., Giovanetti, M., Bonfanti, C., Ciccozzi, M., Caruso, A., & Caccuri, F. (2023) · Journal of Medical Virology · doi:10.1002/jmv.28848 · Cited by 11
Jha, N., Hall, D., Kanakan, A., Mehta, P., Maurya, R., Mir, Q., Gill, H. M., Janga, S. C., & Pandey, R. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.753648 · Cited by 11
Self-citationA SARS-CoV-2: Companion Animal Transmission and Variants Classification
Pandit, R., & Matthews, Q. L. (2023) · Pathogens · doi:10.3390/pathogens12060775 · Cited by 11
Bahmani, Z., Nabizadeh, R., Yaghmaeian, K., & Yunesian, M. (2025) · Scientific Reports · doi:10.1038/s41598-024-81032-7 · Cited by 10
A survey of physics-informed AI for complex urban systems
Xu, E., Wang, H., Zhang, Y., Li, S., Tang, Y., Zhou, Z., Lin, Y., Yuan, Y., Fan, X., Ding, J., et al. (2025) · Information Fusion · doi:10.1016/j.inffus.2025.104012 · Cited by 10
Mahalingam, G., Rachamalla, H. K., Arjunan, P., Periyasami, Y., M, S., Thangavel, S., Mohankumar, K. M., Moorthy, M., Velayudhan, S., Srivastava, A., et al. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.840727 · Cited by 8
Country-level predictors of COVID-19 mortality
Brown, P. A. (2023) · Scientific Reports · doi:10.1038/s41598-023-36449-x · Cited by 9
Hernandez, M., Banu, R., Gonzalez-Reiche, A., Gray, B., Shrestha, P., Cao, L., Chen, F., Shi, H.-Z., Hanna, A., Ramírez, J., et al. (2021) · medRxiv · doi:10.1016/j.jmoldx.2022.04.003 · Cited by 2
Inui, S., Fujikawa, A., Gonoi, W., Kawano, S., Sakurai, K., Uchida, Y., Ishida, M., & Abe, O. (2022) · Japanese Journal of Radiology · doi:10.1007/s11604-022-01301-1 · Cited by 7
Bakshi, R., Kaur, S., Kaur, K., Kaur, R., Boparai, J. K., Ghai, R., Kaur, T., Kaur, A., Kaur, J., Verma, K., et al. (2021) · Journal of Pure and Applied Microbiology · doi:10.22207/jpam.15.4.07 · Cited by 8
Self-citationBhiman, J. N., & Moore, P. L. (2022) · Immunological Reviews · doi:10.1111/imr.13086 · Cited by 7
SARS-CoV-2 variant biology and immune evasion
Zaidi, A. K., & Singh, R. B. (2024) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2023.11.007 · Cited by 8
Singh, B. K., Walker, J. W., Paul, P., Reddy, S. C., Gowler, C. D., Jernigan, J. A., & Slayton, R. B. (2022) · Vaccine · doi:10.1016/j.vaccine.2022.04.040 · Cited by 8
Chen, L., Zhang, H., Li, M., Wu, B., Zhang, Z., & Gong, R. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.1005321 · Cited by 8
Viral loads observed under competing strain dynamicsPreprint
Hay, J. A., Kennedy‐Shaffer, L., & Mina, M. J. (2021) · medRxiv · doi:10.1101/2021.07.27.21261224 · Cited by 8
Demographic characteristics of SARS-CoV-2 B.1.617.2 (Delta) variant infections in Indian populationPreprint
Kumar, A., Asghar, A., Raza, K., Narayan, R. K., Jha, R. K., Satyam, A., Kumar, G., Dwivedi, P., Sahni, C., Kumari, C., et al. (2021) · medRxiv · doi:10.1101/2021.09.23.21263948 · Cited by 8
Liu, Y. D., Noga, H. L., Allaire, C., Bedaiwy, M. A., Lee, C. E., Williams, C., Booth, A., Galea, L. A. M., Kaida, A., Ogilvie, G. S., et al. (2024) · Journal of Pain · doi:10.1016/j.jpain.2024.01.346 · Cited by 8
Overcoming colonialism in pathogen genomics
Saha, S., Hooda, Y., Malavige, G. N., & Nisar, M. I. (2024) · The Lancet Digital Health · doi:10.1016/s2589-7500(24)00091-8 · Cited by 8
Akingbola, A., Adewole, O., Adegbesan, A., Peters, F., Odukoya, T., Aremu, O., Adeleke, O., Idris, A., Owolabi, A., & Aiyenuro, A. (2025) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2025.2485840 · Cited by 7
Bracis, C., Moore, M., Swan, D. A., Matrajt, L., Anderson, L., Reeves, D. B., Burns, E., Schiffer, J. T., & Dimitrov, D. (2022) · Mathematical Biosciences & Engineering · doi:10.3934/mbe.2022266 · Cited by 7
Shikha, S., Jogi, M. K., Jha, R., Kumar, R. A., Sah, T., Singh, P., Sagar, R., Kumar, A., Marwal, R., Ponnusamy, K., et al. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1209513 · Cited by 8
Self-citationBhat, S., Pandey, A., Kanakan, A., Maurya, R., Vasudevan, J. S., Devi, P., Chattopadhyay, P., Sharma, S. R., Khyalappa, R. J., Joshi, M. G., et al. (2021) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2021.783961 · Cited by 7
Self-citationLacy, J., Mensah, A. A., Simmons, R., Andrews, N. J., Siddiqui, R., Bukasa, A., O’Boyle, S., Campbell, H., & Brown, K. E. (2022) · Epidemiology and Infection · doi:10.1017/s0950268822000966 · Cited by 7
Assessing COVID-19 vaccination strategies in varied demographics using an individual-based model
Ben-Zuk, N., Daon, Y., Sasson, A., Ben-Adi, D., Huppert, A., Nevo, D., & Obolski, U. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.966756 · Cited by 6
Sheng, W., Chang, H., Chang, S., Hsieh, M., Chen, Y., Wu, Y., Pan, S., Wang, J., & Chen, Y. (2022) · Journal of the Formosan Medical Association · doi:10.1016/j.jfma.2022.12.003 · Cited by 7
Bordi, L., Sberna, G., Lalle, E., Fabeni, L., Mazzotta, V., Lanini, S., Corpolongo, A., Garbuglia, A. R., Nicastri, E., Girardi, E., et al. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24054847 · Cited by 7
SARS-CoV-2 Delta variant isolates from vaccinated individuals
Brinkac, L. M., Diepold, S., Mitchell, S., Sarnese, S., Kolakowski, L. F., Nelson, W. M., & Jennings, K. (2022) · BMC Genomics · doi:10.1186/s12864-022-08652-z · Cited by 7
Genomic evolution of the SARS-CoV-2 Variants of Concern: COVID-19 pandemic waves in India
Bhardwaj, P., Mishra, S. K., Behera, S. P., Zaman, K., Kant, R., & Singh, R. (2023) · EXCLI journal · doi:10.17179/excli2023-6098 · Cited by 7
Self-citationNational investment case development for pathogen genomics
Khoo, Y. K., Wulandari, S., Getchell, M., Moe, L., Kumar, S., Liu, E. J., Sun, Y., Pang, J., Mishra, S., Clapham, H., et al. (2025) · Cell Genomics · doi:10.1016/j.xgen.2025.100781 · Cited by 6
Self-citationMolecular mechanisms of SARS-CoV-2 entry: implications for biomedical strategies
Santamaria-Castro, I., Leiva-Rebollo, R., Marín‐Wong, S., Jiménez-Guardeño, J. M., & Ortega‐Prieto, A. M. (2025) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00260-24 · Cited by 7
Biswas, S., Chowdhury, T., Dutta, K., Saha, S., & Das, D. (2023) · ACS Applied Bio Materials · doi:10.1021/acsabm.3c00365 · Cited by 6
Studying SARS-CoV-2 interactions using phage-displayed receptor binding domain as a model protein
Pérez-Massón, B., Quintana-Perez, Y., Tundidor, Y., Pérez‐Martínez, D., Castro-Martínez, C., Pupo-Meriño, M., Orosa-Vázquez, I., Relova-Hernández, E., Villegas, R., Guirola, O., et al. (2024) · Scientific Reports · doi:10.1038/s41598-023-50450-4 · Cited by 6
Rostamzadeh, S., Allafasghari, A., Allafasghari, A., & Abouhossein, A. (2024) · Scientific Reports · doi:10.1038/s41598-024-71034-w · Cited by 7
Kanakan, A., Mehta, P., Devi, P., Saifi, S., Swaminathan, A., Maurya, R., Chattopadhyay, P., Tarai, B., Das, P., Jha, V., et al. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.763169 · Cited by 6
Self-citationGautam, P., Paul, D., Suroliya, V., Garg, R., Agarwal, R., Das, S., Sardarni, U. K., Pandey, A., Bhugra, A., Tarai, B., et al. (2022) · Microbiology Spectrum · doi:10.1128/spectrum.02729-21 · Cited by 6
When might host heterogeneity drive the evolution of asymptomatic, pandemic coronaviruses?
Okamoto, K. W., Ong, V., Wallace, R. G., Wallace, R., & Chaves, L. F. (2022) · Nonlinear Dynamics · doi:10.1007/s11071-022-07548-7 · Cited by 7
A Robust, Highly Multiplexed Mass Spectrometry Assay to Identify SARS-CoV-2 Variants
Hernandez, M., Banu, R., Shrestha, P., Gonzalez-Reiche, A., van de Guchte, A., Farrugia, K., Sebra, R., Gitman, M., Nowak, M., Cordon-Cardo, C., et al. (2022) · Microbiology spectrum · doi:10.1128/spectrum.01736-22 · Cited by 4
Veleanu, A., Kelch, M. A., Ye, C.-J., Flohr, M., Wilhelm, A., Widera, M., Martínez-Sobrido, L., Ciesek, S., & Toptan, T. (2022) · Viruses · doi:10.3390/v14092017 · Cited by 5
Does the COVID-19 XBB Omicron subvariant signal the beginning of the end of the pandemic?
Ngiam, J. N., Al-Mubaarak, A., Maurer‐Stroh, S., & Tambyah, P. A. (2022) · Singapore Medical Journal · doi:10.4103/singaporemedj.smj-2022-180 · Cited by 6
Temporal dynamics and fatality of SARS‐CoV‐2 variants in Bangladesh
Rahman, M. S., Hoque, M. N., Chowdhury, S. R., Siddique, M. M., Islam, O. K., Galib, S. M., Islam, M. T., & Hossain, M. A. (2023) · Health Science Reports · doi:10.1002/hsr2.1209 · Cited by 6
Briggs, K., Sweeney, R., Blehert, D. S., Spackman, E., Suarez, D. L., & Kapczynski, D. R. (2023) · Virology · doi:10.1016/j.virol.2023.07.002 · Cited by 5
Reconstructing the COVID-19 incidence in India using airport screening data in Japan
Liu, S.-Q., Anzai, A., & Nishiura, H. (2024) · BMC Infectious Diseases · doi:10.1186/s12879-023-08882-w · Cited by 7
Understanding the devastating second wave of COVID ‐19 pandemic in India
Chinnaswamy, S. (2021) · American Journal of Human Biology · doi:10.1002/ajhb.23671 · Cited by 5
Elslande, J. V., Kerckhofs, F., Cuypers, L., Wollants, E., Potter, B. I., Vankeerberghen, A., Cattoir, L., Holderbeke, A., Behillil, S., Gorissen, S., et al. (2022) · Viruses · doi:10.3390/v14061198 · Cited by 6
Vaccination shapes evolutionary trajectories of SARS-CoV-2Preprint
Meijers, M., Ruchnewitz, D., Łuksza, M., & Lässig, M. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.07.19.500637 · Cited by 6
Sreenivas, D., Kumar, V., Kandasamy, K., Vadnala, R. N., Mishra, S., Shelar, B., Marate, S., Lakshminarayanan, C. P., Sai Disha, K., Bhardwaj, M., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.03.14.532352 · Cited by 6
Self-citationSengupta, S., Dash, D., Sardana, V., Chaudhary, K., Chandak, G. R., Raychaudhuri, S., Tallapaka, K. B., Kulkarni, M. J., Chakrabarti, P., Ganguly, D., et al. (2025) · Biology Methods and Protocols · doi:10.1093/biomethods/bpaf061 · Cited by 5
Self-citationEvolution of SARS-CoV-2 Spikes shapes their binding affinities to animal ACE2 orthologs
Yao, W., Li, Y., Ma, D., Hou, X.-D., Wang, H., Tang, X., Cheng, D., Zhang, H., Du, C., Pan, H., et al. (2023) · Microbiology Spectrum · doi:10.1128/spectrum.02676-23 · Cited by 5
Distinct SARS-CoV-2 populational immune backgrounds tolerate divergent RBD evolutionary preferences
Ma, W., Fu, H., Jian, F., Cao, Y., & Li, M. (2024) · National Science Review · doi:10.1093/nsr/nwae196 · Cited by 5
Banho, C. Á., Marques, B. D. C., Sacchetto, L., Lima, A. K. S., Parra, M. C. P., Lima, A. R. J., Ribeiro, G., Martins, A. J., Barros, C. R. D. S., Elias, M. C., et al. (2024) · npj Vaccines · doi:10.1038/s41541-024-00933-w · Cited by 6
Petersen, J. D., Lu, J., Fitzgerald, W., Zhou, F., Blank, P. S., Matthies, D., & Zimmerberg, J. J. (2022) · Viruses · doi:10.3390/v14051024 · Cited by 6
Rodríguez, M., Cepeda, M. D. V., Bello, C., Lopez, M. A., Sulbarán, Y. F., Loureiro, C. L., Liprandi, F., Jaspe, R. C., Rangel, H. R., & Pujol, F. H. (2023) · Antibodies · doi:10.3390/antib12040080 · Cited by 4
Alotaibi, B. S., El-Masry, T. A., Seadawy, M. G., El-Harty, B. E., Saleh, A., Gad, A. F., El-Hosseny, M. F., Mahran, Y. F., & El-Bouseary, M. M. (2022) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2022.105278 · Cited by 5
Tang, H., Ke, Y., Wang, L., Wu, M., Sun, T., & Zhu, J. (2022) · Pharmaceuticals · doi:10.3390/ph15081002 · Cited by 4
Ciuffreda, L., González‐Montelongo, R., Alcoba-Flórez, J., de Artola, D. G.-M., Gil-Campesino, H., Rodríguez‐Pérez, H., Íñigo-Campos, A., de Miguel-Martínez, I., Tosco-Núñez, T., Díez-Gil, O., et al. (2022) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2022.919346 · Cited by 5
Bahlmann, N. A., Mautner, L., Hoyos, M., Sallard, E., Berger, C., Dangel, A., Jönsson, F., Fischer, J., Kreppel, F., Zhang, W., et al. (2023) · Genes · doi:10.3390/genes14071348 · Cited by 5
Narechania, A., Bobo, D., Deitz, K. C., DeSalle, R., Planet, P. J., & Mathema, B. (2024) · Genome Research · doi:10.1101/gr.278594.123 · Cited by 5
SARS-CoV-2 Breakthrough Infections among US Embassy Staff Members, Uganda, May–June 2021
Harris, J. R., Owusu, D., O’Laughlin, K., Cohen, A. L., Hamida, A. B., Patel, J. C., Freeman, M. M., Nsibambi, T., Nieves, R., Marston, B. J., et al. (2022) · Emerging infectious diseases · doi:10.3201/eid2806.220427 · Cited by 4
Gupta, A., Basu, R., & Bashyam, M. D. (2023) · Access Microbiology · doi:10.1099/acmi.0.000513.v3 · Cited by 4
Patel, M., Shamim, U., Umang, U., Pandey, R., & Narayan, J. (2025) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0012918 · Cited by 4
Self-citationCharacterization of key spike RBD residues influencing SARS-CoV-2 variant adaptation to avian ACE2
Yao, W., Li, Y., Sun, H., Ma, D., Tang, X., Zeng, A., & Huang, F. (2025) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2025.1631926 · Cited by 4
Motiei, M., Lucia, L. A., Sáha, T., & Sáha, P. (2023) · Nanotechnology Reviews · doi:10.1515/ntrev-2022-0515 · Cited by 4
The immune evasion ability of Delta variant is comparable to that of Beta variant in South Africa
He, D., Chen, B., Zhao, S., & Stone, L. (2023) · BMC Public Health · doi:10.1186/s12889-023-15431-2 · Cited by 4
Zhou, B., Sun, Y., Mao, H., Su, L., Lou, Y.-H., Yan, H., Yao, W., Chen, H., & Zhang, Y. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1189969 · Cited by 4
A mouse xenograft long‐term replication yields a SARS‐CoV‐2 Delta mutant with increased lethality
Kim, D., Kim, M., Kim, J.-S., Baek, K., Park, H., Park, S., Kang, B. M., Kim, S., Kim, M., Mostafa, M. N., et al. (2024) · Journal of Medical Virology · doi:10.1002/jmv.29459 · Cited by 4
VOC-alarm: mutation-based prediction of SARS-CoV-2 variants of concern
Zhao, H., Han, K., Gao, C., Madhira, V., Topaloĝlu, Ü., Lu, Y., & Jin, G. (2022) · Bioinformatics · doi:10.1093/bioinformatics/btac370 · Cited by 4
SARS-CoV-2 Antibody Responses to AZD1222 Vaccination in West AfricaPreprint
Abdullahi, A., Oladele, D. A., Owusu, M., Kemp, S. A., James, A. B., Salako, A. O., Fink, D., Sylverken, A. A., Ige, F. A., Onwuamah, C. K., et al. (2022) · Research Square · doi:10.21203/rs.3.rs-1834968/v1 · Cited by 4
Self-citation
Metadata
- Authors
- Dhar, M. S., Marwal, R., Radhakrishnan, V., Ponnusamy, K., Jolly, B., Bhoyar, R. C., Sardana, V., Naushin, S., Rophina, M., Mellan, T. A., Mishra, S., Whittaker, C., Fatihi, S., Datta, M., Singh, P., Sharma, U., Ujjainiya, R., Batheja, N., Divakar, M. K., Singh, M. K., Imran, M., Senthivel, V., Maurya, R., Jha, N., Mehta, P., Vivekanand, A., Sharma, P., Arvinden, V., Chaudhary, U., Soni, N., Thukral, L., Flaxman, S., Bhatt, S., Pandey, R., Dash, D., Faruq, M., Lall, H., Gogia, H., Madan, P., Kulkarni, S., Chauhan, H., Sengupta, S., Kabra, S., The Indian SARS-CoV-2 Genomics Consortium (INSACOG), Gupta, R. K., Singh, S. K., Agrawal, A., & Rakshit, P.
- Affiliations
- National Center for Disease Control (IN)
- Institute of Genomics and Integrative Biology (IN)
- Imperial College London (GB)
- University of Copenhagen (DK)
- University of Cambridge (GB)
- Corresponding author
- Dhar, Mahesh S
- Marwal, Robin
- Radhakrishnan, VS
- Ponnusamy, Kalaiarasan
- Jolly, Bani
- Bhoyar, Rahul C.
- Agrawal, Anurag
- Rakshit, Partha
- ORCID
- Dhar, Mahesh S
- Marwal, Robin
- Radhakrishnan, VS
- Ponnusamy, Kalaiarasan
- Jolly, Bani
- Bhoyar, Rahul C.
- Sardana, Viren
- Naushin, Salwa
- Rophina, Mercy
- Mellan, Thomas A
- Mishra, Swapnil
- Whittaker, Charles
- Fatihi, Saman
- Singh, Priyanka
- Sharma, Uma
- Ujjainiya, Rajat
- Divakar, Mohit Kumar
- Singh, Manoj K
- Imran, Mohamed
- Senthivel, Vigneshwar
- Maurya, Ranjeet
- Jha, Neha
- Mehta, Priyanka
- Vivekanand, A
- Sharma, Pooja
- Arvinden, VR
- Chaudhary, Urmila
- Thukral, Lipi
- Flaxman, Seth
- Bhatt, Samir
- Pandey, Rajesh
- Dash, Debasis
- Faruq, Mohammed
- Lall, Hemlata
- Madan, Preeti
- Kulkarni, Sanket
- Chauhan, Himanshu
- Sengupta, Shantanu
- Gupta, Ravindra K.
- Singh, Sujeet K
- Agrawal, Anurag
- Rakshit, Partha
- Venue
- Science
- Publisher
- openRxiv
- Published
- 2021-06-03
- Volume
- 374
- Issue
- 6570
- Pages
- 995-999
- ISSN
- 0036-8075 (ISSN-L)
- PMC
- PMC7612010
- OpenAlex
- W3205588626
- Cited by
- 296
- References
- 43
- Citations by year
- 2026: 7 · 2025: 19 · 2024: 38 · 2023: 65 · 2022: 115 · 2021: 51
- FWCI
- 21.30
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Science (publishedVersion, cc-by)
- medRxiv (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by)
- Greater South Information System
- Funders
- Wellcome Trust (108082/A/15/Z, 108082)
- Novo Nordisk Fonden (NNF20OC0059309)
- Medical Research Council (MR/R015600/1, MC_PC_19012)
- 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 › COVID-19 Clinical Research Studies
- Keywords
- SARS-CoV-2, Delta variant, B.1.1.7 Alpha variant, COVID-19 outbreak, Delhi, genomic profiling, epidemiology, transmissibility, immune evasion, reinfection, seroprevalence, antibody response, Bayesian model
- MeSH terms
- Reinfection, COVID-19, Adolescent, Adult, Child, Humans, India, Phylogeny, Seroepidemiologic Studies, Genome, Viral, Molecular Epidemiology, Young Adult, Immune Evasion
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