The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Effectiveness of the BNT162b2 Covid-19 Vaccine against the B.1.1.7 and B.1.351 Variants
Open accessAbstract
The messenger RNA vaccine BNT162b2 (Pfizer–BioNTech) has 95% efficacy against coronavirus disease 2019 (Covid-19). Qatar launched a mass immunization campaign with this vaccine on December 21, 2020. As of March 31, 2021, a total of 385,853 persons had received at least one vaccine dose and 265,410 had completed the two doses. Vaccination scale-up occurred as Qatar was undergoing its second and third waves of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, which were triggered by expansion of the B.1.1.7 variant (starting in mid-January 2021) and the B.1.351 variant (starting in mid-February 2021). The B.1.1.7 wave peaked during the first week of March, and the rapid expansion of B.1.351 started in mid-March and continues to the present day. Viral genome sequencing conducted from February 23 through March 18 indicated that 50.0% of cases of Covid-19 in Qatar were caused by B.1.351 and 44.5% were caused by B.1.1.7. Nearly all cases in which virus was sequenced after March 7 were caused by either B.1.351 or B.1.1.7.
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?
The cited source says what the claim attributes to it.
In the citing paper
“The test-negative design, which does not assume that a lack of a positive test equals a negative test and somewhat adjusts for testing volume, attempts to better mitigate this bias and is the reason we chose this method for this analysis”
From Waning effectiveness of the third dose of the BNT162b2 mRNA COVID-19 vaccine (2022) · cites this paper as [25]
In the citing paper
“Reduced protection against any symptomatic COVID-19 disease caused by the B.1.351 variant of concern (now known as the Beta variant) has been reported from clinical trials18, but emerging data suggest that there remains high protection against the important end points of severe disease and hospitalization99.”
From Immunological mechanisms of vaccine-induced protection against COVID-19 in humans (2021) · cites this paper as [99]
In the citing paper
“These inclusion and exclusion criteria were implemented to allow for build-up of immunity after vaccination4,14 and to minimize different types of potential bias, as informed by earlier analyses in the same population.”
From Effects of Previous Infection and Vaccination on Symptomatic Omicron Infections (2022) · cites this paper as [14]
In the citing paper
“Effectiveness was assessed with the use of an observational, test-negative, case–control design rather than a design in which cohorts of individual persons were followed up. However, the cohort study design applied earlier to the same population yielded findings similar to those of the test-negative design.14,15,31”
From Effects of Previous Infection and Vaccination on Symptomatic Omicron Infections (2022) · cites this paper as [14]
In the citing paper
“However, the cohort study design applied earlier to the same population of Qatar yielded findings similar to those of the test-negative case–control design36,38,39, supporting the validity of this standard approach in assessing vaccine effectiveness11,12,36,40.”
From Duration of mRNA vaccine protection against SARS-CoV-2 Omicron BA.1 and BA.2 subvariants in Qatar (2022) · cites this paper as [38]
In the citing paper
“As compared with recent findings from Qatar on the effectiveness of the BNT162b2 vaccine against the alpha and beta variants,17 our findings suggest that effectiveness against the delta variant after a full vaccination course lies somewhere between these two.”
From Effectiveness of Covid-19 Vaccines against the B.1.617.2 (Delta) Variant (2021) · cites this paper as [17]
In the citing paper
“In cohort studies from Israel and Qatar, the BNT162b vaccine also retained greater than 90% efficacy against this variant 210,211 (TABLe 2).”
From The biological and clinical significance of emerging SARS-CoV-2 variants (2021) · cites this paper as [211]
In the citing paper
“In the previously cited Qatar cohort study, the efficacy of BNT162b against the Beta variant was estimated to be 72%, which was 15% lower than that for the Alpha variant 211 .”
From The biological and clinical significance of emerging SARS-CoV-2 variants (2021) · cites this paper as [211]
In the citing paper
“Likewise, clinical studies have reported somewhat reduced efficacy and effectiveness against the B.1.1.7, B.1.351, and B.1.617.2 variants (10–12).”
From Durability of mRNA-1273 vaccine–induced antibodies against SARS-CoV-2 variants (2021) · cites this paper as [10]
In the citing paper
“The effectiveness of the BNT162b2 vaccine against the Beta variant was measured shortly after the population of Qatar had been vaccinated, whereas the effectiveness of BNT162b2 against the Delta variant was conducted several months after the second dose, which could be one of the reasons for low effectiveness of BNT162b2 against the Delta variant.404,405”
From Advances in COVID-19 mRNA vaccine development (2022) · cites this paper as [405]
In the citing paper
“Beta [as a benchmark for partially reduced neutralization (7) without major impact on effectiveness (19, 20)]”
From Neutralization of SARS-CoV-2 Omicron by BNT162b2 mRNA vaccine–elicited human sera (2022) · cites this paper as [19]
In the citing paper
“Coronavirus disease 2019 (Covid-19) vaccines are highly effective against symptomatic disease and, more so, against severe disease and fatal outcomes caused by the original strain of SARS-CoV-2 as well as the alpha (B.1.1.7) variant that predominated in early 2021.”
From Effectiveness of COVID-19 vaccines against the Omicron (B.1.1.529) variant of concern (2021) · cites this paper as [15]
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
Safety and Efficacy of the BNT162b2 mRNA Covid-19 Vaccine
Polack, F. P., Thomas, S. J., Kitchin, N., Absalon, J., Gurtman, A., Lockhart, S., Perez, J. L., Pérez Marc, G., Moreira, E. D., Zerbini, C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2034577 · Cited by 14,592
BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Mass Vaccination Setting
Dagan, N., Barda, N., Kepten, E., Miron, O., Perchik, S., Katz, M. A., Hernán, M. A., Lipsitch, M., Reis, B., & Balicer, R. D. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2101765 · Cited by 2,527
Thompson, M. G., Burgess, J. L., Naleway, A. L., Tyner, H. L., Yoon, S. K., Meece, J., Olsho, L. E. W., Caban-Martinez, A. J., Fowlkes, A., Lutrick, K., et al. (2021) · MMWR. Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm7013e3 · Cited by 707
The test-negative design for estimating influenza vaccine effectiveness
Jackson, M. L., & Nelson, J. C. (2013) · Vaccine · doi:10.1016/j.vaccine.2013.02.053 · Cited by 510
Flagged first, then by citations
Cited by
Sorted by citations
Items 801–879 of 879
Natural Capital Exploration and Coronavirus Disease Spread in 2020
Piao, X. (2022) · Theoretical Economics Letters · doi:10.4236/tel.2022.122022
Mahajan, A., Sivadas, N., & Panda, P. (2022) · doi:10.36227/techrxiv.17705957
建部, 将., & 瀬尾, 龍. (2022) · Nippon Jibiinkoka Tokeibugeka Gakkai Kaiho(Tokyo) · doi:10.3950/jibiinkotokeibu.125.3_243
Robust models of disease heterogeneity and control, with application to the SARS-CoV-2 epidemic
Johnson, K. D., Grass, A., Toneian, D., Beiglböck, M., & Polechová, J. (2022) · PLOS Global Public Health · doi:10.1371/journal.pgph.0000412
Pavot, V., Berry, C., Kishko, M., Anosova, N. G., Huang, D., Tibbitts, T., Raillard, A., Gautheron, S., Gutzeit, C., Koutsoukos, M., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.09.20.461023
Human Vaccines & Immunotherapeutics: News
(2021) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2021.1940536
Patel, V., Pasoria, S., & Sawant, R. (2022) · Indian Journal Of Applied Research · doi:10.36106/ijar/2302694
Louten, J. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-90565-7.00014-9
Niesen, M. J. M., Murugadoss, K., Lenehan, P. J., Marchler‐Bauer, A., Wang, J., Connor, R. P., Brister, J. R., Venkatakrishnan, A., & Soundararajan, V. (2022) · PNAS Nexus · doi:10.1093/pnasnexus/pgac105
Three-Dose Vaccination-Induced Immune Responses Protect Against SARS-CoV-2 Omicron BA.2Preprint
Zhou, R., Liu, N., Li, X., Peng, Q., Yiu, C.-K., Huang, H., Yang, D., Du, Z., Kwok, H., Au, K., et al. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4123263
Bailey, S. F., & Akter, M. (2022) · Springer eBooks · doi:10.1007/978-981-19-1356-3_5
Development, rollout, and challenges of COVID-19 vaccines in Japan and globally
Arashiro, T., & Suzuki, T. (2021) · Uirusu · doi:10.2222/jsv.71.41
Mohan Kumar, M., Nagaraj, C., Ramashetty, M., Prakash, A., Rangaswamy, S. M., Sagar, B. G., Kushavar, A. M., & Kullolli, S. M. (2022) · International Journal of Anatomy Radiology and Surgery · doi:10.7860/ijars/2022/52413.2755
Characteristics and Vaccines: Five Variants of Concern of SARS-CoV-2
Xu, M. (2022) · Highlights in Science Engineering and Technology · doi:10.54097/hset.v8i.1240
Should Children in Pakistan be vaccinated? Is there any Evidence?
Zaidi, S. J. A., Baig, Q. A., & Maqsood, S. (2022) · Pakistan Journal of Public Health · doi:10.32413/pjph.v11i4.848
Efficacy of Vaccines Before and During Fourth Wave of COVID-19 in Pakistan - A Comparative Study
Waseem, H., Niazi, A., Khaliq, S. S., Khaliq, N., Khadija, S., & Mufti, M. (2022) · Saudi Journal of Pathology and Microbiology · doi:10.36348/sjpm.2022.v07i09.001
SARS-CoV-2 Variant Surveillance in Genomic Medicine Era
Diaconu, C. C., Pitica, I. M., Chivu‐Economescu, M., Necula, L. G., Botezatu, A., Iancu, I. V., Neagu, A. I., Radu, E. L., Matei, L., Ruță, S. M., et al. (2022) · Infectious diseases · doi:10.5772/intechopen.107137
Latest in COVID-19 Vaccine 'Candidates' Race
Atoum, M. F. M., Zreig, D. A., & Zreig, L. M. A. (2022) · Infectious Disorders - Drug Targets · doi:10.2174/1871526522666220818124416
Importancia de la vigilancia genómica de SARS-CoV-2 en los tiempos de las vacunas contra la COVID-19
Jones-Cifuentes, N. A., Peña-López, B. O., & Rincón‐Orozco, B. (2022) · Salud UIS · doi:10.18273/saluduis.54.e:22058
Cartography of SARS‐CoV‐2 variants based on the susceptibility to therapeutic monoclonal antibodies
Furuse, Y. (2022) · Journal of Medical Virology · doi:10.1002/jmv.28275
First Case of COVID-19 N501Y Variant of Concern Infection in a Patient with Chronic HIV Infection
Ye, W. Q., Britto, J., Neary, J., & Crowther, M. A. (2021) · Canadian Journal of General Internal Medicine · doi:10.22374/cjgim.v16i3.573
COVID-19 Vaccinations: Efficacy and Financial Benefits (The Case of the Pharmaceutical Companies)
Alber, N., Abdelrhim, M., & Farouh, M. (2023) · International Business Research · doi:10.5539/ibr.v16n2p54
CRISPR Technology and Its Importance in SARS-CoV-2 Treatment
Saraçaydın, G., & Çakır, Ö. Ö. (2023) · Flora the Journal of Infectious Diseases and Clinical Microbiology · doi:10.5578/flora.20239683
Covid-19 Vaccine Efficacy: Accuracy Assessment, Comparison, and Caveats
Fu, W., Li, J., & Scheet, P. A. (2023) · Journal of Data Science · doi:10.6339/23-jds1089
Vaccine Basics and the Development and Rollout of COVID-19 Vaccines
Mani, S., & Griffin, D. O. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-87539-4.00018-x
Wallis, R. S., Srivastava, A. K., Wack, A., & Knirsch, C. A. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-87539-4.00003-8
Safe at Last? Late Effects of a Mass Immunization Campaign on Households' Economic Insecurity
Belmonte, A., & Pickard, H. (2022) · Review of Income and Wealth · doi:10.1111/roiw.12643
Effect of Vaccination on Long-COVID: A Comprehensive Review and Approach
Frank, H. (2023) · International Journal of Medicine and Public Health · doi:10.5530/ijmedph.2023.1.1
Discovering associations between radiological features and COVID‐19 patients' deterioration
Ahmadinejad, N., Ayyoubzadeh, S. M., Zeinalkhani, F., Delazar, S., Javanmard, Z., Ahmadinejad, Z., Mohajeri, A., & Esmaeili, M. (2023) · Health Science Reports · doi:10.1002/hsr2.1257
ANTI-SARS-COV-2 VACCINATION: ABOUT THE ALGERIAN EXPERIENCE
Adouani, I., BENZAOUI, Z., & Boulaacheb, N. (2023) · Yemeni Journal For Medical Sciences · doi:10.20428/yjms.v17i1.2124
Clinical characteristics, management, and prevention of coronavirus disease 2019
Guan, W., & He, J. (2023) · Frigid Zone Medicine · doi:10.2478/fzm-2023-0019
Sinaei, R., Jafari, M., Karamozian, R., Pezeshki, S., Sinaei, R., Robati, F. K., Yeganeh, M. H., & Najafzadeh, M. J. (2023) · Current Respiratory Medicine Reviews · doi:10.2174/1573398x19666230911094423
Comparison of the Prognosis and Mortality of Sars-Cov-2 Variants in Critically İll Patients
Bayrakçı, S. Y. (2023) · Asian Journal of Research in Infectious Diseases · doi:10.9734/ajrid/2023/v14i3295
Mohapatra, R. K., Seidel, V., Kandi, V., & Rabaan, A. A. (2023) · Frontiers research topics · doi:10.3389/978-2-8325-3603-2
COVID-19, One Health, and pandemic prevention
Salkeld, D., Hopkins, S. R., & Hayman, D. T. S. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198825920.003.0015
Effectiveness of COVID-19 Vaccines: A Vaccinated-Only ApproachPreprint
Foppa, I. (2024) · medRxiv · doi:10.1101/2024.03.23.24304769
BNT162b2 VACCINE ANTIBODY RESPONSE USING THREE ANTIBODY ASSAYS
Ajeti, V., Emin, M., & Trajkovska, K. T. (2024) · Academic Medical Journal · doi:10.53582/amj2441019a
Mundodan, J. M., Sallam, M., Ravi, R. P., Abuqaoud, A., Abualqasim, M. S. A. S., Elbourdiny, A. A. M., Khogali, H., Al-Shamali, M. H. M. A., Albayat, S. S., & Al‐Romaihi, H. E. (2024) · Journal of Vaccines Immunology and Immunopathology · doi:10.29011/2575-789x.0001111
Okoro, E., Salihu, M. O., Akpila, A. S., & Giwa, A. O. (2022) · Sahel Medical Journal · doi:10.4103/smj.smj_71_21
Saleh, W. M. A., Abdulsadiq, S. M., M.Abdall, A., Hasan, A. A., & Ali, M. S. (2024) · المجلة الليبية العالمية · doi:10.37376/glj.vi64.5790
Informe de Evento 2023. COVID-19
Fuentes, S. M. A. (2024) · doi:10.33610/infoeventos.80.1
Nguyen, C. T., Nakayama, M., Yasui, F., Ishigaki, H., Otaki, K., Yamamoto, N., Sanada, T., Yamaji, K., Honda, T., Matsumoto, Y., et al. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.5041819
Protect or prevent? A practicable framework for the dilemmas of COVID-19 vaccine prioritization
Arghal, R., Rubin, H. N., Bidokhti, S. S., & Sarkar, S. S. (2025) · PLoS ONE · doi:10.1371/journal.pone.0316294
Mohamed, A. H., & Abdalghani, N. (2025) · Saudi Journal for Health Sciences · doi:10.4103/sjhs.sjhs_116_24
Dukes, C. W., Whiting, J., Mo, Q., Cubitt, C. L., Kuter, B. J., Leav, B. A., Kennedy, K., Rathwell, J. A., Pilon‐Thomas, S., & Giuliano, A. R. (2025) · Vaccine X · doi:10.1016/j.jvacx.2025.100678
Pathogenetic aspects of the emergence of coronavirus infection COVID-19: a literature review
Abilov, P. M. (2025) · Medicina · doi:10.29234/2308-9113-2025-13-2-112-126
Kazama, I. (2025) · Springer eBooks · doi:10.1007/978-3-031-40858-8_502-1
COVID-19 as an Emerging Infectious Disease and its Variants
Aziz, M., Shah, A., Qayyum, R., Nawaz, S., Arif, I., Ali, M., Hassan, M. S., Ali, R., & Omar, H. (2025) · Coronaviruses · doi:10.2174/0126667975397588250818115346
Schreiber, M., Ocampo, V. L. S., Zhang, A., Dusko, A., & Hall, E. W. (2025) · Antimicrobial Stewardship & Healthcare Epidemiology · doi:10.1016/j.ajic.2025.08.022
Tani, N., Sato, T., Goto, T., Harada, Y., Horiuchi, T., Akashi, K., Shimono, N., Ikematsu, H., & Chong, Y. (2026) · Vaccine · doi:10.1016/j.vaccine.2026.128887
Makela, M., Lin, Z., & Lin, P. T. (2025) · IEEE Nanotechnology Materials and Devices Conference (NMDC) · doi:10.1109/nmdc64551.2025.11233993
Nguyen, C. T., Nakayama, M., Yasui, F., Ishigaki, H., Otaki, K., Yamamoto, N., Sanada, T., Yamaji, K., Honda, T., Matsumoto, Y., et al. (2025) · Virology · doi:10.1016/j.virol.2025.110778
Additional file 1 of Cell-based passive immunization for protection against SARS-CoV-2 infection
Sawula, E., Miersch, S., Jong, E. D., Li, C., Chou, F.-Y., Tang, J. K., Saberianfar, R., Harding, J., Sidhu, S. S., & Nagy, A. (2024) · Figshare · doi:10.6084/m9.figshare.26636607
Oberste, M., Asenova, T., Ernst, A., Shah-Hosseini, K., Schnörch, N., Buess, M., Rosenberger, K. D., Kossow, A., Dewald, F., Neuhann, F., et al. (2024) · Figshare · doi:10.6084/m9.figshare.25264265
Müller, M. K., Volzke, J., Subin, B., Müller, S. C., Sombetzki, M., Reisinger, E. C., & Müller‐Hilke, B. (2022) · Figshare · doi:10.6084/m9.figshare.18666522
Zeng, B., Gao, L., Zhou, Q. X., Yu, K., & Sun, F. (2022) · Figshare · doi:10.6084/m9.figshare.19845824
Kumari, M., Lu, R.-M., Li, M.-C., Huang, J., Hsu, F.-F., Ko, S.-H., Ke, F.-Y., Su, S.-C., Liang, K.-H., Yuan, J. P., et al. (2022) · Figshare · doi:10.6084/m9.figshare.21085242
Liu, Q., Qin, C., Liu, M., & Liu, J. (2021) · Figshare · doi:10.6084/m9.figshare.17010246
Lv, J., Wu, H., Xu, J., & Liu, J. (2022) · Figshare · doi:10.6084/m9.figshare.19766294
Liu, Q., Qin, C., Liu, M., & Liu, J. (2021) · Figshare · doi:10.6084/m9.figshare.17010249
COVID-19 Vaccine: Classification, Development, and Clinical Status
Sarkar, S., Kandasamy, T., Arora, A., & Ghosh, S. S. (2025) · Medical virology · doi:10.1007/978-981-95-1426-7_17
Wang, Y., Xiang, L., Zhao, R., Zhang, X.-J., & Chen, Y. M. (2026) · BMC Biotechnology · doi:10.1186/s12896-026-01110-8
Mеlisovich, A. (2026) · American Journal of Medical Science and Technology · doi:10.11648/j.ajmst.20260202.13
Analysis and Comparison of the Safety among COVID-19 Vaccines: A Systematic Review
Mostafa, A., & Ehab, H. (2026) · International Journal of Clinical Medical Research · doi:10.61466/ijcmr4020001
Caractérisation des activités antivirales des anticorps anti-VIH-1 et anti-SARS-CoV-2
Dufloo, J. (2021) · theses.fr (ABES) · doi:10.70675/215798eaz7f82z4e57za8eazf4453d37b8c8
Fortnam, T., Chambers, L. C., Bilinski, A., King, E., Huard, R. C., Amore, E., Gargano, L. M., McDonald, J., Chan, P. A., & Hogan, J. W. (2026) · Biostatistics · doi:10.1093/biostatistics/kxag002
Stability and Bifurcation of a Dual-Strain Epidemic Model with Multiple Time Delays
Han, D., Huang, R., & Wang, X. (2026) · International Journal of Bifurcation and Chaos · doi:10.1142/s0218127426501294
Arham, A. F., Mustapa, M. M. A. C., Ibrahim, A. N. H., Hassan, W. Z. W., Amin, L., Muslim, N., Yaacob, M., Mahadi, Z., Rahman Puteh Noraihan, A., Keng, L. K., et al. (2026) · F1000Research · doi:10.12688/f1000research.181731.1
Kazama, I. (2026) · Springer eBooks · doi:10.1007/978-3-032-11375-7_502
Palii, D. V., Voinalovych, O., & Manziuk, I. M. (2026) · Reports of Vinnytsia National Medical University · doi:10.31393/reports-vnmedical-2026-30(2)-10
Chemaitelly, H. S., Akhtar, N., Jerdi, S. A., Kamran, S., Joseph, S., Morgan, D., Uy, R., Abid, F. B., Al‐Khal, A., Abou‐Samra, A., et al. (2026) · Expert Review of Vaccines · doi:10.1080/14760584.2026.2720953
Self-citationChemaitelly, H. S., Ayoub, H. H., Coyle, P. V., Tang, P., Hasan, M. R., Yassine, H. M., Thani, A. A. A., Kanaani, Z. A., Al‐Kuwari, E., Jeremijenko, A. M., et al. (2026) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofag602
Self-citationSukik, L., Paul, P., Ayoub, H. H., Coyle, P. V., Tang, P., Hasan, M. R., Yassine, H. M., Thani, A. A. A., Kanaani, Z. A., Al‐Kuwari, E., et al. (2026) · International Journal of Epidemiology · doi:10.1093/ije/dyag210
Self-citationReduced antibody activity against SARS-CoV-2 B.1.617.2 delta virus
Diamond, M. (2025) · ImmPort · doi:10.21430/m3sa0j3g43
Protective activity of mRNA vaccines
Krammer, F. (2024) · ImmPort · doi:10.21430/m3nt600qa9
Metadata
- Authors
- Abu-Raddad, L. J., Chemaitelly, H., & Butt, A. A.
- Affiliations
- Weill Cornell Medical College in Qatar (QA)
- Hamad Medical Corporation (QA)
- Corresponding author
- Abu-Raddad, Laith J.
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2021-07-08
- Volume
- 385
- Issue
- 2
- Pages
- 187-189
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- PMC
- PMC8117967
- OpenAlex
- W3157162195
- Cited by
- 899
- References
- 4
- Citations by year
- 2026: 16 · 2025: 32 · 2024: 46 · 2023: 92 · 2022: 358 · 2021: 351
- FWCI
- 67.15
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- New England Journal of Medicine (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Qatar University QSpace (Qatar University) (submittedVersion)
- Funders
- Biomedical Research Program and the Biostatistics, Epidemiology, and Biomathematics Research Core, both at Weill Cornell Medicine-Qatar, the Ministry of Public Health and Hamad Medical Corporation
- Topics
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Social Sciences › Health › Vaccine Coverage and Hesitancy
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Keywords
- BNT162b2, COVID-19 vaccine efficacy, SARS-CoV-2 variants, B.1.1.7 variant, B.1.351 variant, Omicron variant, vaccination campaigns, viral genome sequencing, COVID-19 waves
- MeSH terms
- Immunogenicity, Vaccine, COVID-19, SARS-CoV-2, COVID-19 Vaccines, BNT162 Vaccine, Humans, Qatar, Cohort Studies, Case-Control Studies, Polymerase Chain Reaction, Treatment Outcome
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